Quantitative Specialist Resume Samples

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G Little

Genoveva

Little

857 Syble Trace

Detroit

+1 (555) 970 0883

857 Syble Trace

Detroit

Phone

p +1 (555) 970 0883

Experience Experience

New York, NY

Quantitative Specialist

New York, NY

Stokes, Stehr and Simonis

New York, NY

Quantitative Specialist

Provide training and support to junior analysts and other coworkers in the areas of business intelligence and advanced analytics
Collaboration with Risk Management and Model Development to highlight valuation risks inherent in current methodologies
Provide complex daily product support to client base of equity research analysts, portfolio managers and the technology teams that support them
Work with the business partners to resolve any issues that arise from the deployment of the models including the development of sophisticated business rules
Work with other Engineers, Specialists and Relationship Managers to maintain positive relationships with clients
Design/evaluation of valuation adjustments and calibration methodologies
Lead efforts with our IT partners on the development of modeling datasets, as well as model deployment, validation and problem solving

Houston, TX

Quantitative Data Specialist

Houston, TX

Goldner, Macejkovic and Willms

Houston, TX

Quantitative Data Specialist

Executes data analysis for both quantitative and secondary research projects that address defined business questions
Manages administrative tasks such as weekly project status reports, team communications, and project database updates
Develops and delivers statistical, mathematical and/or simulated models to support insights that lead to fact-based decision making
Synthesizes multiple data sources into insights and develops strategic recommendations
Provides thought leadership and acts as a SME on statistics, analytics, and data quality
Develops predictive models to simulate potential outcomes based on primary and secondary data
Analyzes quantitative research data outputs in SPSS to interpret data and define statistical significance

present

Los Angeles, CA

Quantitative Middle Office Independent Amount Specialist

Los Angeles, CA

Kilback and Sons

present

Los Angeles, CA

Quantitative Middle Office Independent Amount Specialist

present

Assist with the testing and validation of IA results through each technology release
Work directly with the front office and technology teams on issues discovered through technology testing and model validation
Knowledge of Financial Risk Management, Credit Risk Models, Value at Risk (VaR)
Provide enhanced analysis and IA explains to front office and collateral operations teams when counterparty disputes arise on IA calculations
Identify and Establish control processes that will mitigate future IA calculation errors
Conduct in-depth analysis of reasons for discrepancies in IA results between the firm and counterparty
Validate and explain drivers of day over day changes in IA to CPM and Collateral operations teams

Education Education

Bachelor’s Degree in Finance

California State University, Los Angeles

Bachelor’s Degree in Finance

Skills Skills

Highly proactive and self-motivated with the ability to meet objectives under minimal supervision
Ability to mentor and lead junior members of the team
Knowledge of financial markets (e.g. equities, fixed income), statistics, financial engineering
Excellent Excel and VBA Skills
Excellent analytical and mathematical skills
Proven ability for independent work and self-teaching
Excellent communication skills (e.g. presentations, training)
Strong hands-on project leadership skills with the drive to complete complex projects as a part of small teams within a fast paced environment
Good technology background (e.g. engineering, computer science, macro development, relational databases, scripting languages, statistical packages)
English: Fluent

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VP-senior Quantitative Programmer Specialist Resume Examples & Samples

Work closely with Risk Analytics teams to understand the requirements, model design, data requirements, statistical techniques used (curve fitting using Gamma, Weibull mechanisms as well as goodness of fit tests)
Implement the models in a Technology Production environment using latest statistical pakages, User support and post production implementation. Models are currently under development by Citi Operational Risk Analytics (CORA) team
Create proof of concepts of new modeling ideas, perform data analysis, identify thresholds and parameter values
Program and implement the models using the statistical packages like “R” and integrate the with the required system functionality
Prepare test data, test the model implementation
Support user acceptance test and production implementation of the models
Provide user support post production implementation including ad-hoc data analysis, clarification of model results, model validation support etc
Participate in project planning, monitor and track projects, update status reports
7 - 10 years of Experience with implementation of quantitative models in the Risk domain (Credit , Market, Operational, Liquidity Risk etc.) is highly preferable. Candidates with experience in implemntation of quantitative models in related domains (Insurance - actuarial models) can be considered

Portfolio Construction Specialist With Quantitative Background Resume Examples & Samples

Operation of the asset allocation tools
Calculation of quantitatively based portfolios
Support in the maintenance of the quantitative tools and reporting frameworks' parameters
Programming tasks to further enhance the existing frameworks with additional functionality
Quantitative modeling of portfolio simulations, including risk- and return-indicators

Quantitative Specialist Resume Examples & Samples

Collaboration with Risk Management and Model Development to highlight valuation risks inherent in current methodologies
Reporting of valuation issues
Review and implementation of independent price testing methodologies
Model Reviews
Review of Price-Testing methodologies
Review of Price-Testing impact tolerance ranges
Valuation Adjustments and Governance Policy and Reporting
Ph. D. preferrably or Masters degree in relevant Quantitative (mathematically focused) discipline
Understanding of modelling concepts (Numerical modelling, Monte Carlo) and issues in Stochastic Calculus

Quantitative Credit Risk Specialist Resume Examples & Samples

Contribute to the constant refinement and improvement of our credit risk methods, in particular our tools and models for Counterparty Risk, Real Estate Financing and Recovery Risk and in line with the regulatory and accounting requirements, for example IFRS9. This includes tools and models for measuring PDs and LGDs as well as for stress testing (incl. regulatory stress exercises such as CCAR), methodologies for the valuation of real estate properties, as well as exposure measurement capabilities
Develop risk-based monitoring tools both on a portfolio as well as on a single client level (e.g., concentration and/or liquidity) from which steering actions for our portfolios will be derived
Extend the set of available risk measures in order to support the work of credit officers and client advisors in their core functions
Work closely together with risk officers (market and credit), reporting teams and IT business analysts in a joint effort to improve the quality of credit risk representation and credit risk measures
Support the process of industrialization by actively elaborating and proposing improvement of our internal data systems and data sourcing processes in terms of quality and efficiency
Master’s or PhD degree in a quantitative field like Financial Mathematics, Statistics or Econometrics
Prior working experience in a credit risk environment would be beneficial together with knowledge of regulatory practice
Ability to apply techniques from numerical analysis, statistics and financial mathematics to solve practical problems
Experience with large data sets / Big Data
Cooperativeness and team-orientation, while able to complete tasks independently with a high quality standard
Pro-activeness in taking new initiatives and carrying them through completions
Experience with high-level programming language, and knowledge of statistical modelling software (e.g., SAS, R, MatLab)
Excellent communication skills with colleagues at all levels in the organization
Ability to explain technical topics clearly and intuitively, both written and orally

KVA Quantitative Middle Office Specialist Resume Examples & Samples

Coordinate with other business partner for the successful completion of project. Responsible for the quality and timeliness of all project deliverables and well as the implementation of relevant project management practices (status reporting, issue tracking etc.)
Bachelors or Masters Degree in Finance, Economics or Financial Quantitative Analysis
1-5 years of industry experience
Knowledge or experience with trading products in capital markets: Fixed Income, Credit Product, etc
Pricing derivative products experience such as Futures, Options, Indexes, CDS, CDO, FRAs, SWAPs, SWAPTIONs, CAPs/FLOORs
Knowledge of Financial Risk Management: Credit Risk Model, Value at Risk. Knowledge of Interest Rates, Credit spreads, bond pricing, etc
Strong technical skills including experience using MS Office, SQL, and Visual Basic, and script programming
Knowledge of MO process like P&L attribution, predicts etc
Experience coding in Python

Xva-quantitative Middle Office Specialist Resume Examples & Samples

Actual P&L Explain vs. risk based explain analysis of FVA-U P&L
Analyze drivers and trends of P&L using risk based explain, exposure analytics, model changes, etc
Risk and Issue identification, management, and resolution
Liaison with Technology to help drive successful implementation, especially in terms of testing and impact analysis for proposed changes
Interact with business partners from Front Office, Finance and Risk on a regular basis
Basic knowledge of programming languages like SQL, VBA and Python is highly desirable
Advanced degree in Finance or Business is a plus

Quantitative Specialist Resume Examples & Samples

Responsible for the data integrity of the analytics environment
Identify, research, and resolve all issues related to internally and externally supplied data to ensure superior data quality
Responsibillities include performing business, systems, and data analysis, process design, and acceptance testing across projects that require new research content, investment analytics, and/or produce additional reporting capabilities for investment professionals
Consult with external providers to deliver comprehensive data solutions and partner with internal technology teams to automate the data acquisition and storage
Oversee daily and weekly production cycles to ensure service levels are met
Respond to ad-hoc data analysis requests in support of individual research projects performed by Research Analysts
A Bachelors degree in finance, math, accounting, engineering, or computer science preferred. Progress towards a Masters Degree, and/or CFA Charter is strongly desired
Experience with Big Data concepts and the ability to interact with unstructured or non-traditional data strongly preferred
Successfully led medium to large sized projects in a fast paced environment
5-7 years of experience working with data analytics or Big Data
Technical expertise including SQL and ability to traverse diverse content sets required; other programming experience a plus
Strong hands-on project leadership skills with the drive to complete complex projects as a part of small teams within a fast paced environment
Capability to liaise with investment professionals to gather requirements and manage deliverables of technical development teams
Highly proactive and self-motivated with the ability to meet objectives under minimal supervision

Associate Quantitative Financial Specialist Resume Examples & Samples

Experience with Windows or Linux operating systems
Experience with statistical software
Knowledge of statistics of time series
Experience with Python, C++
Understanding of software engineering

Quantitative Middle Office KVA Support Specialist Resume Examples & Samples

Understanding of Fixed Income and FX modeling
Experience working with OTC derivatives including futures, options, swaps, credit default swaps, forward rate agreements and swaptions
Knowledge of Financial Risk Management, Value at Risk (VaR) and Credit Risk Models

Internal Audit Quantitative Specialist Resume Examples & Samples

The models are used to meet regulatory and accounting requirements, measure returns, support prudent decision making (economic capital), and price transactions commensurate with the inherent risk
The models are used throughout Citizens to determine required regulatory capital, appropriate levels of economic capital, appropriate reserves for loan and lease losses, and loan pricing levels that are commensurate with the risk inherent of transactions
The activities have various effects on the bank’s income (through the allowance for loan and lease losses reserve), returns (through economic capital), regulatory compliance (through stress-testing), and ability to compete and win transactions (through determination of risk-based pricing)
The individual will inspect and review model development and validation documents and other relevant documents, evaluating compliance with regulatory guidance with the Interagency Guidance on Model Risk Management, and Bank policy
Activities will include evaluating the consistency of model design with business use, assessing the application of judgmental and qualitative adjustments, determining the relevance, suitability, accuracy, and completeness of data inputs, and assessing the testing of and documentation supporting the model
7-10 years of business experience
Previous experience performing Model Validation and/or Development - CCAR, Capital Models (PD/LGD/EAD), loss forecasting, etc
Knowledge of bank operations and products
Strong reporting, writing and communications skills
Strong ability and quantitative credentials to challenge
Demonstrates a natural and driving curiosity

Business Intelligence Quantitative Methods Specialist Resume Examples & Samples

Minimum - Bachelor’s Degree in Business, Economics, Psychology or Anthropology or equivalent work experience / demonstrated knowledge in examining market and understanding business implications
Advanced degree in a social science (Psychology, Anthropology, MBA, Market Research, Economics or Predictive Analytics highly desirable
Any Certifications in the area of statistics or predictive modeling highly desirable
Minimum five years’ experience using data to guide strategic business decisions across at least the following functional areas: operations, marketing, finance and Human Resources
Strong Business Acumen with a thorough understanding of business analytics / business metrics quantifiable track record of delivering business insights
Experience with multi-channel industries highly desirable (retail, hospitality, automotive, CPG a bonus)
Knowledge of Non-Profit structures and operations a bonus but not required
Knowledge of Microsoft office, relational databases and content management software is required [emphasis on Excel and at least one additional statistical tool (SAS, R, SPSS, Python, XLSTAT, etc.)
Working knowledge of the following enterprise systems a bonus (Active, Daxko, CCC, Oracle, etc.)
Knowledge of data visualization applications (Excel, Tableau, Power BI, etc.)
Aptitude for learning new software and tools for synthesizing information
Comfortable using survey software tools
Experience working with 3rd party data sets including but not limited to demographic, consumer spending, health data and psychographic / behavior data sets
Working with mapping software / tools to provide visual representations to provide additional insights to constituencies
Working knowledge of when and how to apply research (quantitative) methodology (EDA – Exploratory Data Analysis), when testing hypotheses, to understand the cause and effect impact between independent and dependent variable sets
Understanding the constructs of predictive models
Demonstrated ability delivering results to a variety of audiences with different backgrounds and experience
Sound business ethics, consistency between words and actions, and a history of building trust with others
Strong results-orientation, initiative, sense of urgency and reliability
Must be strategic with an ability to effectively use analysis to validate strategic direction
Outstanding interpersonal, communication, relationship-building and presentation skills
Experience using research design, methodologies, implementation, execution, analysis and report writing to enhance the business decision making process
Experience developing and presenting analytics in a variety of visualization formats
Ability to provide appropriately interpret the findings to provide actionable strategic direction and insights to the movement
Strategic planning experience – ability to appropriately plan to achieve targeted objectives
Perform business, market and operations analysis based on primary, secondary and operational data
Quality check data sets for approval into “cube” database infrastructure
Develop models that allow for more proactive decision making
Develop trainings / tools for movement to acquire insight about their market and operations
Will develop and monitor key performance indicators
Will analyze and interpret business data (industry trends, primary and secondary research data)
Stays current on local, state and national economic and societal trends
Aptitude to interpret multiple sources of information for development into strategic marketing plans
Working with vendors to complete assigned projects on-time and within budget
Development of requirements for system and data collection enhancements
Communicating findings to internal and external clients both in written and oral formats
Project Management on data collection / reporting systems related projects

KVA Senior Quantitative Specialist Resume Examples & Samples

Assist in the build out of a risk based computation and reporting of capital measures under BASEL 3
Identify issues and control gaps in existing infrastructure
Coordinate with other business partner for the successful completion of project. Responsible for the quality and timeliness of all project deliverables and well as the implementation of relevant project management practices (status reporting, issue tracking etc)
Manage a team of 3 analysts and be responsible for the successful delivery of the QMO body of work
Serve as the central point of contact for all analytics and validation changes in larger forums

XVA Quantitative Middle Office Specialist Resume Examples & Samples

Assist in the build out of a risk based computation and reporting across XVA
Provide risk and P&L analysis for OTC derivatives
Coordinate with other business partner for the successful completion of project
Responsible for the quality and timeliness of all project deliverables and well as the implementation of relevant project management practices (status reporting, issue tracking etc.)
Work with technology team to streamline the processes and enhance data integrity and control

Quantitative Middle Office UMR IA Specialist Resume Examples & Samples

Assist with the testing and validation of IA results through each technology release
Provide enhanced analysis and IA explains to front office and collateral operations teams when counterparty disputes arise for IA calculations
Review and verify the model inputs feeding the IA calculations
Assess production IA results for errors
Identify and establish control processes that will mitigate future IA calculation errors
Conduct in-depth analysis of reasons for discrepancies in IA results between the firm and counterparty
Masters degree or equivalent in Finance, Economics or Quantitative field
Knowledge of Financial Risk Management, Credit Risk Models, Value at Risk (VaR)

Quantitative Middle Office Independent Amount Specialist Resume Examples & Samples

Provide enhanced analysis and IA explains to front office and collateral operations teams when counterparty disputes arise on IA calculations
Identify and Establish control processes that will mitigate future IA calculation errors
Work directly with the front office and technology teams on issues discovered through technology testing and model validation
Provide assessment of counterparty computed IA numbers for reasonableness
Validate and explain drivers of day over day changes in IA to CPM and Collateral operations teams
Work with technology teams to guide IA calculator reporting and control requirements
Master’s degree or higher in Finance, Economics or Quantitative field
Strong technical skills including experience using Excel, VBA and SQL
Experience working with OTC derivatives
At least 3 years of experience working in a quantitative risk, middle office, or front office role
Understanding of the collateral management process at large bank

Specialist, Quantitative Analysis Resume Examples & Samples

Support Suncor’s business using various technologies together with a thorough understanding of finance and markets
Design, develop, and test price curve, volatility, correlation, VaR and stress test models
Evaluate trading strategies & instruments for approval
Assist with the valuation of complex and non-linear financial instruments
Support the general manager, risk management and the commodity risk management committee with ad-hoc modeling and reporting requests while ensuring reports are complete and accurate
Mentor and support junior members of the Analytics team in respect to quantitative skills
Implement new metrics with respect to risk and profit and loss attribution
Implement improvements to our commodity trading and risk management system (CTRM)
Assist various internal groups with business process automation
Provide time-off coverage for daily reporting requirements as needed
Experience with finance principles (P/L, price curves, hedging, financial instruments)
Experience in the energy market space is a requirement, including thorough understanding of crude, natural gas, and power spreads (time, location, quality)
Certificate in quantitative finance professional (CQF), professional risk manager (PRM), financial risk manager (FRM), chartered financial analyst (CFA) designation and/or
Postgraduate degree in or related to applied mathematics, engineering, mathematical finance, or physics
Able to set priorities and manage your time to meet deadlines
Ability to tailor oral and written materials to differing audiences with a focus on delivering concise responses
Proficient in Excel as well as strong programming skills in SQL, VBA and Matlab
Knowledge of various market and risk metrics (VaR, volatility, CVaR, etc.)
Knowledge of linear algebra (matrix and vector mathematics), statistics and probability theory (correlation, variance, covariance, conditional distributions)
Competitive base salary and compensation programs
Attractive annual incentive program
Flexible benefits package
Rewarding pension and savings plans

Quantitative Pathology Reagents Sales Specialist Resume Examples & Samples

Meeting or exceeding sales targets for all assigned product lines
Accurate forecasting of sales and orders
Complying with Salesforce.com standards, including lead generation and conversions and opportunity creation, management and closure
Prospecting to discover new sales opportunities
Utilizing consultative sales skills to ensure customer satisfaction and drive cross-selling within territory
Working with customers to ensure successful and reoccurring use of reagent products
Growing product expertise in order to provide customers with the best solution, based upon their application requirements
Coordinating and collaborating with other Sales and Field Application Specialists and business team resources to leverage full solution offering
Growing the Quantitative Pathology business within the defined territory in accordance with strategic business goals
Developing a working knowledge of the entire Imaging product portfolio, and an understanding of scientific applications involved and end markets
Requires a Bachelor’s degree with 3 - 5 years of sales experience in Life Sciences or a combination of both education and extensive experience in histology and or pathology
Must be results-driven and possess the ability to utilize exceptional negotiation skills
Ability to work within a Team Selling Model and engage other field based resources, as necessary, to advance opportunities
Aptitude to learn new systems and retain technical information
General knowledge of CRM systems is preferred. Salesforce.com experience is a plus
Excellent communication skills and the ability to build relationships by telephone, email and in person
Ability to work effectively in a complex organization, while influencing decisions
Highly effective time management and organizational skills
Process orientated, with a strong knowledge of selling, marketing & the customer care process
Willingness for approximately 50% overnight travel

Quantitative Counterparty Exposure Risk Specialist Resume Examples & Samples

Provide enhanced analysis on risk sensitivities to front office and operations teams when new measures or new counterparties on-boarded
Assess production risk results for errors
Apply your analytical skills to solve UMR IM and risk sensitivity valuation issues
Join a dedicated team of associates that embraces creative problem solving
Python programming experience and willing to learn Python
3 years of experience working in a quantitative risk, middle office, or front office role

Associate Quantitative Specialist Resume Examples & Samples

Responsibilities include performing business, systems, and data analysis, process design, and acceptance testing across projects that require new research content, investment analytics, and/or produce additional reporting capabilities for investment professionals
Oversee daily and monthly production reporting cycles of alpha research, portfolio risk, market aggregates, and performance attribution environments. Ensure all required input data is available, analytic jobs run successfully, statistical output is accurate, and reports are properly generated
Respond to ad-hoc data analysis requests in support of individual research projects performed by Quantitative Research Analysts
Consult with business partners across multiple internal and external sources to deliver comprehensive data solutions
Identify, research, and resolve all issues related to internally generated or vendor-supplied data to ensure superior data quality
Demonstrated history as a top performer working in a role where technical and analytical skills were required
Successfully led small to medium sized projects in a fast paced environment
Investment industry experience, preferably in investment research or a portfolio analytics function of an investment management company
Technical expertise including SQL and ability to traverse diverse content sets strongly preferred; advanced Excel and VBA skills a plus
Highly analytical with the ability to quickly comprehend large data sets in order to develop new processes, perform calculations, identify anomalies, and/or produce new reporting capabilities
Familiarity with quantitative analytics, including fund and index performance measurement, predictive risk modeling, alpha research, and performance attribution
Strong hands-on project leadership skills with the drive to complete complex projects as a part of small teams within an extremely fast paced environment. Capability to liaise with investment professionals to gather requirements and manage deliverables of technical development teams
Knowledge of securities, corporate actions, financial statement analysis, street estimates, pricing and performance data
Highly proactive and self motivated with the ability to meet objectives under minimal supervision

XVA Quantitative Middle Office Specialist Resume Examples & Samples

Assist in the build out of a risk based computation and reporting platform across XVA
Provide risk and P&L analysis for OTC derivatives; working on release/impact analysis for FO initiatives
Master’s Degree in Finance, Economics, Engineer or Financial Mathematics degree
4-7 years of industry experience
Pricing derivative products like Futures, Options, Indexes, CDS, CDO, FRAs, SWAPs, SWAPTIONs, CAPs/FLOORs
Organized, detail oriented & skilled in handling multiple priorities with tight deadlines in a fast-paced environment
Coding in Python or other major programming language

Quantitative Specialist Resume Examples & Samples

Deploy, configure and optimize the ClariFI application including integration and QA of data content
Provide complex daily product support to client base of equity research analysts, portfolio managers and the technology teams that support them
Gather client feedback and communicate functionality requirements to product development team
Develop and handle internal processes and technologies that support the business
Work with investment professionals to implement quantitative financial strategies in ClariFI platform in conjunction with MI products
Work with other Engineers, Specialists and Relationship Managers to maintain positive relationships with clients
Good technology background (e.g. engineering, computer science, macro development, relational databases, scripting languages, statistical packages)
Excellent communication skills (e.g. presentations, training)
Team player willing to take on a wide variety of tasks and who enjoys solving challenging open ended problems
Proven ability for independent work and self-teaching
Ability to mentor and lead junior members of the team
Knowledge of financial markets (e.g. equities, fixed income), statistics, financial engineering a plus
Familiarity with fundamental financial data, financial accounting or equity markets is a plus
Bachelor's degree in computer science
2 to 5 years work experience in an application support or equivalent technical field
Skills in SQL, C++, R, Matlab, Python, Java and/or other programming languages

Quantitative Data Specialist Resume Examples & Samples

Executes data analysis for both quantitative and secondary research projects that address defined business questions
Synthesizes multiple data sources into insights and develops strategic recommendations
Develops and delivers statistical, mathematical and/or simulated models to support insights that lead to fact-based decision making
Bachelor degree or higher from an accredited university is required
Minimum of five (5) years of combined experience in a data-driven business role, mathematics, statistics and/or research and analytics
Minimum of one (1) year of experience in Excel, including experience with risk simulation add-ins (e.g. @Risk, Crystal Ball
Experience working in IBM SPSS Statistics Software
Masters in Statistics or Data Science
Experience with business intelligence tools and programming languages (e.g., Domo, Power BI, Lumira, Tableau, SAS, R, and Python)
Strong communication skills with the ability to translate complex data into accessible terms
Blend of analytical and creative mindset
Comfort with ambiguity
Ability to pull together a story and make it actionable
Strong organization skills and ability to juggle multiple requests
Independent and self-motivated
Highly curious, with an interest in B2B industries

Quantitative Specialist Resume Examples & Samples

Apply advanced statistical and machine learning algorithm to solve critical business problem. Research, recommend, and implement new and/or alternative statistical and other mathematical methodologies appropriate for the given model or analysis
Use supervised and unsupervised modeling techniques in the development and testing of sophisticated models in all areas of insurance. Examples include claims, growth opportunities, marketing optimization, underwriting, expense reduction and many others
Lead efforts with our IT partners on the development of modeling datasets, as well as model deployment, validation and problem solving
Analyze available modeling data files in order to understand the data and identify issues that could potentially have an impact on model results
Apply design of experiment principles to test new ideas (including marketing campaigns), analyze results and provide actionable insights
Utilize text mining techniques to extract information from various sources and build models to improve customer experience and optimize operational efficiencies
Work with the business partners to resolve any issues that arise from the deployment of the models including the development of sophisticated business rules
Participate in the evaluation of statistical software products for various enterprise applications
Experience in machine learning techniques and algorithms, such as SVM, Random Forests, and Neural etc
Experience with statistical packages (one or more) such as R, SAS, SPSS, Statistica, STATA, Alteryx, KNIME etc. are required
Python (scikit) and any other computer language experience a plus
Must be detail-oriented and possess intellectual curiosity. Outstanding organizational and communication skills
At least 5 years of progressive experience in data science, statistical analysis and data modeling
5 years of experience with statistical software