Quantitative Research Analyst Resume Samples

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H Fay

Horacio

Fay

86083 Bahringer Rue

Phoenix

+1 (555) 758 8927

86083 Bahringer Rue

Phoenix

Phone

p +1 (555) 758 8927

Experience Experience

San Francisco, CA

Quantitative Research Analyst

San Francisco, CA

Murazik, Gleason and McLaughlin

San Francisco, CA

Quantitative Research Analyst

Work with AEGON colleagues to provide analytical support to internal and external clients in their ALM and product development activities
Developing prototype analytical models to be used in portfolio management
Design and maintain procedures and tools that make data management and investment research more efficient
Works with portfolio management team to assess securities within investment objectives and fund restrictions for the retail and institutional portfolios
Develop models/tools/applications in an IT robust environment to support derivatives trading, pricing and portfolio management
Collaborate with PMs and analysts to manage and resolve complex problems on a daily basis, ensuring prompt resolution
Providing documentation of data cleaning and analysis that is detailed, accurate and clearly articulated to facilitate communications and replication

Phoenix, AZ

Senior Quantitative Research Analyst

Phoenix, AZ

Stark-Klein

Phoenix, AZ

Senior Quantitative Research Analyst

Manage and advance the quantitative research agenda: alpha modeling, portfolio construction and risk management
Work closely with the investment team to develop models for identifying and evaluating investment opportunities and as well hedging strategies
Work with team members to periodically review, assess and enhance existing models
Employing analytical tools, such as root cause analysis, to identify the drivers of members' business problems and to create hypotheses regarding solutions
Assisting with large-scale data collection efforts across member organizations and with external vendors
Original/creative thinking and superior problem solving abilities
Communicating and presenting analytical insights to internal partners

present

Boston, MA

VP, Quantitative Research Analyst

Boston, MA

Fritsch, Kihn and Jaskolski

present

Boston, MA

VP, Quantitative Research Analyst

present

Collaborate across functional groups in order to provide analyses in a timely, efficient manner
Developing new models which can be scaled broadly throughout the firm
Write technical documents including model documentation and client-focused thought pieces
Well-versed in coding languages such as Matlab, Python, SAS, VBA
Responding to ad-hoc client requests for data or analysis
Strong academic background from a leading, accredited college or university
Strong familiarity with multi-factor risk models and asset and derivatives valuation models

Education Education

Bachelor’s Degree in Mathematics

California State University, Fullerton

Bachelor’s Degree in Mathematics

Skills Skills

Strong individual contributor who is able to be a productive team player
Strong attention to detail
Good working knowledge of advanced Statistics and Predictive Modeling
Superior organization skills and prove ability to attend to details
Ability to concentrate on detailed information for up to 50 - 75% of the work time
Excellent academic background, proficiency in security analysis and accounting, and a passion for investments
Previous experience Database (SQL) – basic queries and table management
Excellent programming, mathematical and/or finance skills
Solid analytical and research skills
Microsoft Excel and/or VBA proficient

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Quantitative Research Analyst Resume Examples & Samples

Developing quantitative valuation techniques
Screening for cash vs derivative basis trades
Screening for LBO and M&A candidates
Identifying pricing discrepancies across the capital structure and across borders/currencies
Liaising with credit analysts on default and recovery assumptions
Screening for upgrade and downgrade candidates
Monitoring risk factors such as volatilities and correlations and calibrating risk model with market implied observations
Developing hedging strategy with the use of derivatives
Building mortgage prepayment and loss models
Analyzing the collateral and structure of securitized (CMBS RMBS) and structured products (CDOs, CLNs, CDX tranches)
Finding the most efficient way and vehicle to execute an opinion
The fixed income team uses POINT extensively. In addition to being our current risk system, it also allows much more interactive functionality such as what-if scenario pre-trade analysis, security swap pre-trade analysis…etc. Due to the quantitative nature of these tasks, this position requires advanced quantitative, programming, system and database skills. Direct experience of the fixed income markets, financial instruments (including derivatives and structured finance) and investment process is preferred, but not required
Work closely with the risk team to ensure accuracy of active risk positions, structure rejected securities, and adjust for any deficiencies or unreasonable assumptions in the risk model
Partner with the PMs on risk decomposition and budgeting to ensure all portfolio exposures are active bets that reflect the team’s FIPC top-down and sector allocation decisions
Monitor and decompose daily active risk exposures, active vs passive bets?
Risk budgeting and portfolio construction/optimization
Develop and test valuation and sector allocation models
Identify derivative strategies (how to screen for basis opportunities? How to screen for pricing discrepancies/arbitrage opportunities?)
Develop hedging and efficient portfolio strategies
Perform scenario and what-if pre-trade analyses/ swap analyses to determine impact to overall risk of portfolio
Using attribution data to provide feedback to current strategies
Further develop absolute return/long-short 130/30 and distressed strategies
Educate and liaise with Investment Operations/ Accounting/ Legal on derivative issues
Assist in new product development & strategy: principal protected product, LDI retirement annuity, portable alpha over index replication (beta)
Collaborate with PMs and analysts to manage and resolve complex problems on a daily basis, ensuring prompt resolution
Undergraduate degree preferably in a quantitative discipline such as math, science, engineering, or computer science
Graduate degree with highly analytical focus, such as an MBA in quantitative finance, MFE in financial engineering, MS in computer science, operation research, quantitative economics, econometrics or engineering
PhD not required, but preferred
5+ years work experience, in investment management/financial services, preferred, but not required. Direct experience in fixed income, investment risk management, performance attribution, portfolio optimization, simulation and quantitative research, preferred
Experience developing and supporting quantitative models
FRM or CFE designation a plus
Advanced quantitative and analytical skills
Extensive programming skills – VB, C/C++, R
Ability to interact with PMs, analysts and CIOs on a regular basis; effectively communicate with all levels within the organization
Project management skills; ability to scope, manage and implement solutions to provide critical investment related information to PMs, analysts and CIOs
Ability to create customized solutions as needed

Quantitative Research Analyst Resume Examples & Samples

Product Development and Index Construction - Responsible for the implementation and integrity of a variety of mathematical or algorithmic models used in index construction and other analytical products, including the vetting of underlying financial data. In collaboration with product managers, researchers, and client service, identify new product opportunities and develop “proof-of-concept” solutions, and prototype production systems in support of those opportunities
Index and Quantitative Model Maintenance – Responsible for the on-going improvement and maintenance quantitative models supporting Russell Index products. This includes migration of off platform models to the Russell Index research system, and legacy model evolution
Data – Responsible to understand Russell’s proprietary datasets, as well as, those databases from the large financial data vendors such as Compustat, Worldscope, IBES, IDC, etc
Research and Product Development Infrastructure – Provide subject matter expertise to the Index research system development team. Develop ad hoc research-oriented tools utilizing the Russell Index research system and other third-party platforms such as QA Studio, FactSet, and so on. Manage all non-production databases and applications used for research and product development
Analytical Support – Provide ad hoc analytical support to the Index business
Master’s degree in finance, economics, mathematics or statistics required
CFA designation or progress towards CFA preferred
7 to 10 years of demonstrated experience conducting quantitative or capital markets research in investment management or a closely related field
Strong computer programming skills, including the use of spreadsheets and statistical packages (Java, SQL Server, R, Visual Studio, C#, .Net). QA Studio experience preferred
Extensive experience with providers of financial information including Compustat, Worldscope, IBES, IDC, etc
Extensive knowledge of performance measurement & portfolio analysis concepts
Strong problem-solving skills; initiative; self directed; and self-driven learner
Ability to communicate complex topics to a wide variety of audiences
Strong individual contributor who is able to be a productive team player
Ability to manage priorities and re-negotiate if necessary
Detail oriented and very precise with numbers

Quantitative Research Analyst Resume Examples & Samples

Minimum 4yrs in a Fixed Income Quantitative role
An advanced degree (e.g. Master or PhD) in a quantitative discipline
Solid experience in fixed income asset class and associated risk factors/analytics
Ability to formulate and test research hypotheses independently
Strong organizational skills and the ability to work on multiple projects simultaneously
Solid programming and development skills including expertise in Matlab, VBA and SQL

Asset Management Gmag Quantitative Research Analyst Professional Resume Examples & Samples

Superior multitasking and organizational skills
Excellent communication skills, including presentation delivery
Strong quantitative skills and a passion for investing
Genuine interest in financial markets and macro-level economic trends
Ability to be a dynamic member of a team
Strong initiative, energy and confidence completing projects with limited supervision
Good judgment and discretion working with highly confidential information
Background in financial accounting or exposure to financial analysis/mathematics preferred
Proficiency in Excel and Microsoft Office products is ideal

Quantitative Research Analyst Resume Examples & Samples

Master’s Degree in Statistics, Computer Science, or Mathematics
Experience analyzing large, multi-dimensional data sets using R, Matlab, Python, or SQL
Good working knowledge of advanced Statistics and Predictive Modeling
Experience with Data Interpretation and Management

Quantitative Research Analyst Resume Examples & Samples

Reporting and Attribution
Thought Leadership and Idea Generation
5+ years of research experience in the quantitative investment field preferred
Bachelor's degree required; Post-graduate degree preferred, most probably a PhD, in Applied Economics, Math or related quantitative discipline; CFA designation desirable
In-depth experience working with global equity products
Experience working with large sets of data (Big Data) and conducting econometric analysis. Knowledge of Barra and/or Axioma products preferred
In-depth knowledge of state-of-the-art performance attribution techniques. Additional experience with alpha research and modeling, portfolio construction and risk management
Experience will most probably be gained within a quantitative equity investment firm, a global solutions/client advisory investment business, a sell-side quantitative research team, or a quantitative investment software firm
The ability to work pro-actively, providing internal users (strategists and portfolio managers) with analyses of the performance of specific products
Passion for research and creativity
Strong programming and database skills including Bloomberg and statistical packages like SAS with SQL, R, etc
Knowledge of financial and macroeconomic databases like Compustat, Worldscope, IBES, etc
Strong interpersonal skills, a strong teamwork orientation and a commitment to intellectual integrity that will allow the person to successfully forge relationships with the company

Quantitative Research Analyst Resume Examples & Samples

Design, construct, test and implement tactical and strategic allocation models
Follow, update and incorporate academic research into the portfolio management and asset allocation process
Experience in building and maintaining a research database (preferably SQL)
Ability to comprehend and apply statistical and quantitative methodologies
Ability to combine accounting and financial principles, investment fundamentals, and quantitative tools
Strong programming skills in R or Matlab
Ability to communicate effectively with a variety of individuals and range of investment backgrounds
Superior organization skills and prove ability to attend to details
Ability to prioritize work and allocate time effectively to maximize impact to investment process

Senior Quantitative Research Analyst Resume Examples & Samples

Manage and advance the quantitative research agenda: alpha modeling, portfolio construction and risk management
Work with I.T., or otherwise, to design and develop the quantitative research infrastructure/platform to support ongoing and rapid development and testing of research ideas and models and its deployment to end-users/stakeholders
Work closely with the investment team to develop models for identifying and evaluating investment opportunities and as well hedging strategies
Work with team members to periodically review, assess and enhance existing models
Support the fixed income business with quantitative analysis and analytics
Strong organizational skills and the ability to work on multiple projects sequentially and concurrently
Solid programming and development skills including expertise in Matlab, R, VBA and SQL
Minimum [5yrs] in a senior fixed income quantitative investments role
Proven managerial/leadership experience highly desirable
Solid experience in fixed income asset class and associated analytics
Solid understanding of quantitative finance, econometric and/or statistical techniques

Quantitative Research Analyst, Fixed Income Resume Examples & Samples

Ability to formulate and test research hypotheses
Ability to explain and defend the methodology used in the development of quantitative models and tools
Solid programming and development skills including expertise in Matlab, R, and SQL
Attention to detail, accuracy and timely delivery are critical
Minimum 3yrs in a fixed income quantitative role
Strong understanding of fixed income asset class and associated analytics
Understanding of quantitative finance, econometric and/or statistical techniques required
Teamwork qualities with cooperative can-do attitude

Sterling Capital Management Quantitative Research Analyst Resume Examples & Samples

Run, maintain and update the existing suite of analytics that are distributed to the investment and marketing teams
Further automate processes for running and maintaining models
Respond to investment and marketing team requests for information and analysis
Develop new market reports used to aggregate and share important market information across the firm
Assist with development of marketing materials related to the firm’s quantitative research
Work in existing or new databases
Assist in development of new analytic models
Reassess priorities and meet deadlines in a constantly changing environment
Work independently to gather, formulate and define requirements to solve complex business problems
Undergraduate or graduate degree in quantitative, finance or economic field of study
Strong academic performance, particularly in quantitative coursework
Strong computer skills. Advanced Excel knowledge, preferably including Excel VBA
Strong interest in financial markets and quantitative research
Quick learner and self-starter
Work effectively in a team environment
Strong interpersonal skills and written/oral communication skills
Strong analytical, cognitive, conceptual and critical thinking skills with a strong attention to detail
Significant level of maturity and the ability to work as a team interfacing with top company executives and senior management
Strong work ethic, consistent follow through and positive attitude
Experience working with databases, ideally SQL
Experience with statistical software, ideally STATA or R
Experience using Bloomberg

Quantitative Research Analyst Index Resume Examples & Samples

Simulating cash flow models for fixed income securities and corporate bond pricing
Utilizing Yield Book analytical tools to implement index return calculations
Utilizing knowledge of financial markets to design and construct new fixed income index, including custom/smart beta indices
Performing index production process review & familiar with IOSCO principle
Working with developers to create technical specifications from business requirements/business specifications for system solutions

Quantitative Research Analyst Resume Examples & Samples

Developing prototype analytical models to be used in portfolio management
Perform ad-hoc research in new investment or hedging strategies through back testing, time series analysis, and capital market modeling to support AAM’s new product development, and investment solutions generation
Work with AEGON colleagues to provide analytical support to internal and external clients in their ALM and product development activities
Understand the modeled derivative products and help maintaining the existing derivative hedging and pricing models through coding, testing, and documentation
Develop models/tools/applications in an IT robust environment to support derivatives trading, pricing and portfolio management
Perform peer review of sophisticated financial models
A one year assignment as part of Risk Management to gain a better understanding of model validation as well as gaining exposure to some of the risk analysis performed by that group
Required: Bachelor degree (CS, math, financial engineering or any quantitative oriented program preferred)
Minimum 2 years related experience for Intermediate level consideration
Preferred experience in finance, insurance or related area, or a graduate degree in the similar field
Computer programming and development skills required, familiarity with VBA strongly preferred
Analytics skills; ability to explain complex ideas and concepts behind models/strategies
Analytical math skills, liability modeling and computer programming skills preferred
Risk analysis and pricing experience preferred
Advanced analytical math skills, liability modeling and computer programming skills preferred
Risk analysis and pricing skills preferred
Advanced product knowledge of VAs and EIULs preferred

Quantitative Research Analyst Resume Examples & Samples

Ability to interact with clients, consultants, and prospects
2-3 years of quantitative research experience
Experience working with equity data, programming complex research experiments, and developing mathematical models
Proven track record performing creative, independent quantitative equity research
Excellent programming, mathematical and/or finance skills
Degree in Technical Fields

Quantitative Research Analyst Resume Examples & Samples

Generate original research ideas, undertake thought-provoking and commercial research and maintain research reports/presentations
Service both quantitative and fundamental clients - support, advise and answer queries, assist with special ad-hoc projects and initiatives as assigned
Service and engage with the internal sales/trading desk by marketing the global research product and trading ideas
An academic background in Accounting, Finance or Economics and a post graduate degree (e.g. PhD or MSc) from a top-tier university
You will have an outgoing personality with excellent communication and presentation skills. You will be able to discuss research with specialists but you will also be keen to regularly communicate the commercial value of your ideas to general equity sales personnel
You will be keen and able to participate in a global product, communicating readily with MSG's other Quantitative Research analysts around the globe

Risk Quantitative Research Analyst Resume Examples & Samples

Analyze large structured and unstructured data sets such as internal trade data, risk data, fundamental data, and sentiment data
Introduce new approaches, tools, and prototypes
Deliver research findings to senior management and recommend investment ideas
A commitment to the highest ethical standards and who act with professionalism and integrity at all times
PhD or MS in stastistics, computer science, or mathematics with research experience in at least one of the following areas: statistical analysis, data mining, big data, machine learning, natural language processing, or operations research
Experience with real-world datasets (e.g., data cleaning and mapping data from difference sources)
Good programming skills in statistical languages such as R, Matlab, Python, or SQL
Strong communication skills and ability to explain complex models in simple terms
Two or more years of work experience in active equities investing

Quantitative Research Analyst Resume Examples & Samples

Quantitative modeling, statistical and time series analysis; data analysis of large datasets
Demonstrated knowledge of linear algebra, partial differential equations, and stochastic calculus; and
Java, C++, Matlab, Linux Shell Script, algorithms and numerical techniques

Senior Quantitative Research Analyst Resume Examples & Samples

Minimum graduate degree with a concentration in a related field such as Financial Engineering, Statistics, Operations Research or Quantitative Research / Methods. A Ph.D. is strongly preferred, coupled with professional designations such as a CFA or FRM
Deep experience (5 years plus) in developing quantitative strategies in the US rates and derivatives market required with some exposure to global markets
Eight to ten years of related analytical work experience.Rigorous training and work experience in econometrics modeling, stochastic modeling, asset pricing, risk modeling, advanced fixed income modeling (term structure and volatility), and risk premium modeling
Proficiency in Matlab or R, database programming (SQL), Bloomberg, Excel VBA
Demonstrated track record of originating investment ideas through quantitative methods and strong persuasion and influence skills to drive the quantitative research results through investment decision process across the IMG
Ability to produce thorough, insightful and concise analysis and communicate these findings to a variety of audiences in both group and one on one settings

Quantitative Research Analyst Resume Examples & Samples

Provides analytical support to portfolio managers, traders, and risk managers on the risk, return and transaction cost/market impact of investment portfolios and strategies in fixed income, equity and other asset classes
Participates in quantitative research projects under the guidance of senior researchers that support investment decision processes, utilizing quantitative skills, such as time series regressions, simulation, and data visualization techniques
Develops and prototypes effective tools using technology including Matlab, R, Excel VBA and SQL, and Hadoop for trading, TCA and risk management that provides value to the investment processes
Creates reports and surveillance packages for daily usage on market color, investment return and risk, and TCA employing proprietary analytics that serve as an important input for investment decision making
Assists in the development of the data infrastructure for investment management, including market, portfolio and analytics data and TCA data. Looks for alternative and new sources of data and ensures the cleanliness and accuracy of data
Undertakes a variety of ad hoc analytical projects as needed to support risk and investment management
Undergraduate degree in a Quantitative major such as Finance, Computer Science / Engineering, Math or Statistics. Advanced degree (Masters and / or Ph.D. degree) preferred
Minimum of 3 years of experience or equivalent combination of education/training
Strong technical and analytical skills a must
Working experience in and good understanding of capital markets and investment concepts preferred
Self-motivated with intellectual curiosity. Great team player with the ability to work independently
Proficiency in computer programming, such as Matlab, R, Python, SQL, VBA, SAS and Hadoop-related technologies

Quantitative Research Analyst Resume Examples & Samples

Preferred: Graduate degree in: financial engineering, computational or mathematical finance, computer science, statistics or related field. Strong background in machine learning, hypothesis testing, regression analysis, statistics, or probability at the graduate school level or higher, as well as experience creating predictive analytics on noisy data. Background in text analytics, news aggregation and natural language processing
At least 3 years of experience and knowledge in the field of quantitative research and the specialized area of financial engineering, data science, or risk analytics as it relates to the securities industry. Knowledge of predictive model development and oversight
Must be a self-starter and be able to handle multiple tasks independently and under tight deadlines

VP, Quantitative Research Analyst Resume Examples & Samples

Experience across Rates, FX, Credit and Equity markets acquired in an Investment Manager and / or Investment Bank
Experience in Matlab, SQL and C++
At least 2 year’s experience within a Quantitative Research or within a Market Risk team

Senior Quantitative Research Analyst Resume Examples & Samples

Analyzing large data sets to identify actionable insights for senior executives
Assisting with large-scale data collection efforts across member organizations and with external vendors
Contributing to the design of quantitative research projects, including writing surveys to test hypotheses
Communicating and presenting analytical insights to internal partners
Coordinating and participating in interviews with executives, academics, and industry experts to scope quant studies
1-2 years of experience and an undergraduate degree with training in quantitative social science fields, such as: Economics, Econometrics, Applied Microeconomics, Public Policy, Political Science, or Sociology
Proficiency with basic statistical concepts (an advanced degree with a significant focus on application may be considered in lieu of work experience)
Proficiency in at least one statistical software package (SAS, Stata, SPSS, etc.) and advanced knowledge of Microsoft Excel
Excellent oral communication, writing, and graphics skills
Original/creative thinking and superior problem solving abilities
Strong project management and time management skills
Self-motivated/self-starter approach to projects
Computer programming knowledge/experience a plus

Quantitative Research Analyst Resume Examples & Samples

Work on research projects, targeted generally at the enhancement and evolution of our proprietary multi-factor return and risk models
Research issues related to optimization, portfolio construction and trading
Explore the development of new investment products
Investigate the acquisition and quality assurance of new data sources
Candidates should have 7+ years of experience in a similar role within the Financial Service Industry
Candidates must have strong analytical and mathematical skills, with an excellent working knowledge of time-series analysis, econometrics and statistics,
Experience with financial databases and products (such as Compustat, Worldscope, IBES, IDC, Axioma, etc.)
Must be familiar with econometric software (preferably R) and have programming skills
Excellent academic background, proficiency in security analysis and accounting, and a passion for investments
The successful candidate will be self-motivated, possess strong written and verbal communication skills, support collaborative research efforts within the group and be able to work independently

Quantitative Research Analyst Resume Examples & Samples

Identifying data available to answer research questions
Collecting, cleaning, and managing these data, including creating variables, merging and reshaping files
Running statistical models to analyze these data
Providing documentation of data cleaning and analysis that is detailed, accurate and clearly articulated to facilitate communications and replication
Contributing to the writing of research reports
Relevant work experience accurately and efficiently managing, cleaning, and analyzing large, complex data files using statistical programming (e.g., Stata, SAS)
Desire to collaborate closely with team members
Ability to balance multiple projects, prioritize tasks and take initiative
Good people skills, a desire to learn, and the ability to communicate clearly
An interest in K-16 education and improving education for all students
Bachelor’s degree in statistics, mathematics, economics, public policy, psychology, or other related discipline and 4 years of relevant work experience or a master’s degree and 2 years of relevant work experience
Experience with database applications (e.g., Access, Filemaker) and advanced skill with Microsoft Office (e.g., Excel)
Experience creating data visualization products and tools
Experience with literate programming methods and software programs (e.g., LaTeX) that support integrating programming code with text-based annotations to facilitate communications between programmers and with less technical stakeholders

VP, Quantitative Research Analyst Resume Examples & Samples

Working on asset allocation and asset-liability management problems for PIMCO clients
Improving existing models and infrastructure
Collaborate across functional groups in order to provide analyses in a timely, efficient manner

Quantitative Research Analyst Resume Examples & Samples

2+ years of Quantitative Research skills
Previous experience Database (SQL) – basic queries and table management
Experience with one of the scripting languages: Python, Perl, and/or Ruby
Working knowledge of C++, C#, or Java
Microsoft Excel and/or VBA proficient
Exceptional mathematical skills
Solid analytical and research skills

Quantitative Research Analyst Resume Examples & Samples

Utilize strategic thinking skills to interpret data using statistical software and other tools (SPSS, excel, text analytics software) especially with regard to leading the execution of our customer satisfaction tracking programs (i.e., enterprise-wide satisfaction programs which span the entire year; including b2c and b2b customers)
Conduct qualitative and quantitative primary market research; collecting, managing and analyzing data from the marketplace and delivering recommendations to various business teams. Use online software tools where applicable
Tell story with the data and be able to present results to a variety of constituents. Leverage the use of secondary data where appropriate
Determines the most appropriate market research method to utilize based on the business issue to be resolved and to provide decision-making information for setting marketing and sales directions
Participate in development of enhancements to support continuous improvement initiatives and create/maintain satisfaction tracking programs that are effective and cost efficient. Participate on business team meetings to leverage the use of research. Provide input on sales ideas and competitive issues
Efficiently conduct and report on ad hoc research requests
Other duties as assigned
Bachelor's degree in Marketing or equivalent experience
5-7 years market research, business/competitive intelligence experience
3+ years experience using advanced statistical techniques
Experience with research methods such as multiple regression
Experience with online survey tools: SurveyGizmo, Survey Monkey, Qualtrics

Human Resources Quantitative Research Analyst Resume Examples & Samples

2 or more years of analytical experience
Advanced statistical skills including working knowledge of GLM, structural equation modeling, factor analysis, text analytics, etc
Statistical software skills in SAS, SPSS, etc.
Advanced research and survey design skills
Strong data set creation skills including the ability to combine and clean large data sets
Strong Microsoft Excel and PowerPoint skills
Effective written and verbal communication skills, including the ability to explain data and findings to a non-technical and executive audience
Strong consultative skills
Ability to multitask and manage competing priorities
Demonstrated strong attention to detail, problem-solving, and critical thinking

Quantitative Research Analyst Resume Examples & Samples

Articulate investment theses that may be implemented through quantitative investment strategies and identify novel and efficient approaches to their implementation
Develop algorithms and data resources for simulating and back testing investment strategies
Quantify distributional properties of returns associated investment strategies, including expected returns, return volatilities, correlations to other return series, applying rigorous econometric standards to the quantification
Integrate the investment strategies in portfolio construction tools
Produce white papers and presentations that document the investment strategies and quantitative work
Partner with senior investors at the firm to execute the strategies
Work with the Wellington information technology teams to integrate developed methodologies into Wellington’s enterprise portfolio management software environment
A strong academic background (advanced degree in economics, finance, mathematics, statistics, or a physical science)
Knowledge of empirical and risk neutral asset pricing
Understanding of portfolio construction methodologies and optimization techniques
Background in fixed income instruments and derivatives
Strong facility with programming and ability to perform statistical and econometric analysis in quantitative tools
Passion for working with highly collaborative teams

Quantitative Research Analyst Sub-advisory Team Resume Examples & Samples

Develop customized quantitative tools to assist the Sub-Advisory Management team in the selection and oversight of active investment managers
This includes developing tools that leverage the capabilities of vendor systems such as Factset and Aladdin as well as internally developed systems to assist the team in deepening their analysis and understanding of the merits of 3rd party investment strategies
Work with team to automate and further develop manager screening tools using data from various industry sources
Work with 3rd party quantitative investment managers to understand their investment process and value-add, how it translates into a portfolio context and differentiate from other available strategies
Work closely with quantitative team(s) employed by our clients to deepen their understanding of our process, tools and value-add
Work closely with the Portfolio Analytics Group (PAG) and other business partners that report data relevant to the Subadvised Strategies Team
Develop tools to efficiently run analytics and reports to support Investment Committee, Board and client meetings on a regular and ad hoc basis
Strong quantitative and problem solving skills, with the ability to pull together, organize and analyze large quantities of data and to check the output for accuracy and reasonableness
Ability to communicate clearly, build relationships in person and telephonically, and collaborate effectively both inside and outside the organization is critical to the role
Strong knowledge of Visual Basic, Python, R Project, C/C++/C#, Matlab, or similar data management tools/languages
Familiarity with 3rd party analytical tools employed by team (FactSet, Aladdin, BARRA, eVestment, Lipper, Morningstar, etc.)
1-3 years of industry experience with minimum undergraduate degree
Degree in finance, mathematics, statistics, engineering, economics or computer science
Strong technical aptitude and familiarity with databases and data integration. Comfortable with statistics, regression, linear and non-linear models, time series analysis, etc
Proven attention to detail, with the ability to work under tight deadlines

Quantitative Research Analyst Resume Examples & Samples

Working on asset allocation, asset pricing and asset-liability management problems for clients
Developing new models which can be scaled broadly throughout the firm
Responding to ad-hoc client requests for data or analysis
Write technical documents including model documentation and client-focused thought pieces

Quantitative Research Analyst Resume Examples & Samples

Building, validating, testing and reviewing of all types of quantitative models that support our ratings (MBS prepayment, default, loss severity, CMBS, ABS, Corporate Credit Ratings etc.)
Critique and improve stability, conceptual soundness, assumptions, and mathematical logic of existing models
Model implementation skills in an industrial strength language (C++,C#, python etc.) as needed
Perform ad-hoc data cleaning and statistical analysis on both internal and external data
Communicate with rating analysts and senior management and present model validation results and reports to regulators

Quantitative Research Analyst Resume Examples & Samples

Apply advanced portfolio analytics to both quantitatively and conventionally-managed equity portfolios
Help derive innovative approaches to performance attribution
Factor risk modeling and interpretation
Trade scheduling
Equity valuation modeling
Portfolio modeling and trading application design
Portfolio simulation
Portfolio construction methodologies
Index design and construction
Proprietary risk and alpha factor research
PhD in quantitative subject preferred (exceptional Master’s degree will also be considered)
At least 2+ relevant work experience required (open to both sell-side and buy-side backgrounds)
Strong command/knowledge of: numerical techniques, equity valuation modeling, factor risk models, performance attribution techniques, optimization, econometrics, linear and nonlinear estimation, operations research, simulation techniques, and portfolio construction
Fluency in at least two relevant programming languages or numerical libraries (C/C++, SAS, Python, R, Matlab, NAG, etc.)
Strategic thinker