Quantitative Analytics Job Description
Quantitative analytics
provides hands on ability to proficiently use tools to test and confirm changes implemented to support the business requirements.
Quantitative Analytics Duties & Responsibilities
To write an effective quantitative analytics job description, begin by listing detailed duties, responsibilities and expectations. We have included quantitative analytics job description templates that you can modify and use.
Sample responsibilities for this position include:
Execute hypothesis testing, various regression analysis techniques, clustering analysis, and tests for activity and behavior variances
Conducts research and analysis around economic trends, providing commentary and analysis to both internal and external customers
Execute the tuning/optimization program
Facilitate analytical support for Business Units and AML coverage areas
Design and develop statistical analysis of compliance oversight processes and data
Evaluate existing Trade Surveillance and Global Financial Crimes models and scenarios for design and performance effectiveness
Facilitate analytical support for relevant business units and coverage areas
Use and enhance QDA’s analytics engine/platform to execute tuning and optimization
Assist in the preparation of periodic and ad hoc metrics reports for senior management, MS Boards and regulators, including through the evaluation and enhancement of existing metrics and supporting processes
Perform in-depth analyses of comprehensive data on market size and segmentation
Quantitative Analytics Qualifications
Qualifications for a job description may include education, certification, and experience.
Licensing or Certifications for Quantitative Analytics
List any licenses or certifications required by the position: CFA, CPA, CIA, FRM, CISA, ACAMS, ERM, COSO, CERA, ASA
Education for Quantitative Analytics
Typically a job would require a certain level of education.
Employers hiring for the quantitative analytics job most commonly would prefer for their future employee to have a relevant degree such as Master's and Bachelor's Degree in Statistics, Economics, Computer Science, Engineering, Finance, Quantitative Finance, Science, Graduate, Physics, Mathematics
Skills for Quantitative Analytics
Desired skills for quantitative analytics include:
Policies
Techniques
Ability to help an organization adapt to applicable federal
Ability to leverage that information in creating customized customer solutions
Ability to plan
Ability to use numerical methods to develop statistical models for devising trading strategies
Ability to use quantitative tools and techniques to measure and analyze risks
Ability to utilize tools
Both internal and external
Business guidance to clients
Desired experience for quantitative analytics includes:
A deep understanding of how algorithmic trading products work
Solid statistical skills and the ability to utilize TCA reports to identify trading patterns and look for situations where trading performance is statistically different from our expectations
Strong organizational skills and the ability to have a solid understanding of the development process of our TCA product and algorithmic trading teams
The ability to perform ad hoc data and statistical analysis
Good understanding of advanced Excel functionality macros, tables, charts, and pivot tables
3-7 years of professional experience within the banking industry or experience within a financial services consulting firm or regulatory agency (e.g., Office of the Comptroller of the Currency, Federal Reserve Bank, Securities and Exchange Commission, Federal Deposit Insurance Corporation)
Quantitative Analytics Examples
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Quantitative Analytics Job Description
Job Description Example
Our company is growing rapidly and is hiring for a quantitative analytics. We appreciate you taking the time to review the list of qualifications and to apply for the position. If you don’t fill all of the qualifications, you may still be considered depending on your level of experience.
Responsibilities for quantitative analytics
- Reviewing and updating model documentation (model performance, user guide, policy documents)
- Keep abreast of industry regulation and requirement changes and lead implementation of required quantitative and financial analytics
- Acting as an advisor to subordinates to meet schedules and/or resolve technical problems developing and administering performance requirements
- Managing the coordination of the activities of a section or department
- Work effectively in a team conducting economic and statistical analyses to support the development of credit risk models
- Extract, transform and summarize information from large structured and unstructured data sets to inform management decisions
- Support counterparty credit risk modeling and analytics through data preparation, complex data and statistical analysis, and model output assessment
- Help the team utilize analytic tools
- Utilize analytic tools
- Develop and lead analytics initiatives across the firm
Qualifications for quantitative analytics
- Strong coding and algorithms skills
- Passion for tacking big data challenges
- Familiarity with back-end development in Python
- Experience in distributed computing or front-end development / visualizations a plus
- Ability to program in of SAS, R, C++, MatLab, Python
- Advanced degree (PhD, Masters) in a quantitative discipline (data science, statistics, computer science, economics/econometrics, applied mathematics, operational research, physics, bioinformatics, engineering, ) or a Bachelors degree with equivalent experience
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Quantitative Analytics Job Description
Job Description Example
Our innovative and growing company is searching for experienced candidates for the position of quantitative analytics. If you are looking for an exciting place to work, please take a look at the list of qualifications below.
Responsibilities for quantitative analytics
- Identify data sources, develop innovative analytical methodologies, and drive execution of business strategy
- Apply your expertise in people research, quantitative analysis, and data visualization to help Facebook recruit, select, grow, and retain talent
- See beyond the data to identify solutions that will raise the bar for all things people-related
- Partner with the diversity, HR and recruiting teams on people projects to identify and clarify critical people issues, deeply understand our people processes, and analyze data to drive improvements
- Bring together Facebook-specific data and outside research to help leaders understand people issues
- Clearly communicate statistical analyses, results, and implications to technical and non-technical audiences
- Conduct applied research into available data sets and analytical methodologies which may prove useful in enhancing the investment process
- Pursue projects in these areas from idea generation and prototyping to potentially validation within the investment community and putting into production
- Where feasible, identify and pursue opportunities for incorporation of these research ideas into the Quantitative Group’s stock selection models
- Research, develop, use, or review economic capital model or methodology, regulatory capital framework, with a focus on mortgage credit risk and valuation
Qualifications for quantitative analytics
- Basic concepts of interest rate risk, such as duration, convexity, DV01, Key Rate Duration
- Strong problem solving, analysis, design, coding and testing skills required
- Demonstrated knowledge of stochastic calculus and of valuation models, term structure models, and economic capital models
- Programming skills in of SAS, MATLAB, C++, or related languages
- Experience working with consumer credit risk models, mortgage, credit card, or automotive
- Strong programming skills in statistical software, such as SAS, R, Matlab
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Quantitative Analytics Job Description
Job Description Example
Our company is growing rapidly and is searching for experienced candidates for the position of quantitative analytics. Please review the list of responsibilities and qualifications. While this is our ideal list, we will consider candidates that do not necessarily have all of the qualifications, but have sufficient experience and talent.
Responsibilities for quantitative analytics
- Financial modeling (PPNR, balance sheet, RWA)
- Potential scope includes model design and development, model testing, model documentation
- Performing advanced quantitative analyses and model performance testing
- Developing new model monitoring frameworks through consultation with model developers, model owners and the lines of business
- Working with complex data to monitor and assess models
- Drive the development and monitoring of key systems analytics information including operational, financial, and historical metrics, healthcare data patterns, claims utilization, provider utilization, and/or cost and reimbursement patterns to improve the functioning of Risk Adjustment processes and operation
- Lead a team of SQL analysts in the creation of core custom analytics tools and services and review project plans to lead and coordinate project activities
- Effectively collaborate and serve as an expert leadership resource to develop, prototype and implement analytical and statistical models employing statistical stratification, sampling and cohort driven data modeling for client requirements designed to help clients make business decisions
- Partner and liaise with senior executives, product managers, client service leads, and business development team to review market research and to include clinical and financial reporting and analytics in presentations to support closing of sales
- Support product management and operations with analytics that may drive product enhancement or improvement and operational efficiency by establishing a quantitative approach to site optimization
Qualifications for quantitative analytics
- Technically-oriented degree (Economics, Mathematics, Physics), with a minimum of 1-3 years experience
- Minimum of Master’s degree, with preference for a PhD
- Must be a self-starter with the ability to both collaborate and work independently
- Bachelors degree in science or engineering with math and statistics background from a top-tier college or university at a minimum
- 5-10 years of working experience in top tier financial firms
- Extensive programming skill in C++ (and boost), Python, and Database
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Quantitative Analytics Job Description
Job Description Example
Our company is searching for experienced candidates for the position of quantitative analytics. We appreciate you taking the time to review the list of qualifications and to apply for the position. If you don’t fill all of the qualifications, you may still be considered depending on your level of experience.
Responsibilities for quantitative analytics
- Quantitative QA Analyst, responsible for validating analytics data
- Devise and implement a QA strategy to ensure complete validity and accuracy of all analytics data
- Document QA workflows and processes
- Develop consistent economic capital models that can be applied to the financial instruments currently managed by I&CM
- Communicate economic capital modeling approaches (including their limitations and assumptions) to the economic capital model users such as portfolio managers and senior management within I&CM to guarantee (a) that I&CM stakeholders fully understand the rational for economic capital proposals and (b) that all relevant characteristics of each financial instrument are captured appropriate by proposed economic capital models
- Lead the development and improvement of consistent economic capital models that can be applied to the financial instruments currently managed by I&CM
- Coordinate with the I&CM model owners whose models are leveraged in the estimation of economic capital
- Coordinate with the I&CM Financial Engineering team to ensure successful implementation of economic capital models in valuation tools used by portfolio managers and other economic capital model users
- Devise and implement effective methods for the on-going model monitoring of economic capital models in order to identify and mitigate incipient model degradation and changes in their limitations/assumptions and operating environment
- Act as an advisor to peers and subordinates to meet schedules and/or resolve technical problems
Qualifications for quantitative analytics
- Master’s degree in quantitative discipline such as Economics, Statistics, or related field
- Working experience in specialized areas such as mortgages, rates, credit, or portfolio analytics
- Result driven and focus on delivery with high standard
- Supporting various regular audits, ad-hoc audits or special audit investigations
- Working closely with other members within MMR&CA or other audit groups for audit planning, risk assessment, reviewing audit fieldworks, audit reporting, or conducting audit tests as required
- Deep knowledge of advanced statistical analysis and their applications in practices including regression analysis, statistical tests, time series analysis, and probability theory such as normal, log-normal and binomial distributions, stochastic processes
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Quantitative Analytics Job Description
Job Description Example
Our growing company is looking for a quantitative analytics. Please review the list of responsibilities and qualifications. While this is our ideal list, we will consider candidates that do not necessarily have all of the qualifications, but have sufficient experience and talent.
Responsibilities for quantitative analytics
- Cleanse, manipulate and analyze large datasets (Structured and Unstructured data – XMLs, JSONs, PDFs) using Hadoop platform
- Develop Python, Spark, HIVE scripts to filter/map/aggregate data
- Manage and implement data processes (Data Quality reports)
- Execute complex models to produce monthly reports and estimates
- Experience with consumer credit risk models, mortgage, credit card, automotive, or other consumer lending models
- OR Master's degree in Economics, Statistics, or a directly related quantitative field with at least 3 years of related post-graduate work experience in quantitative finance
Qualifications for quantitative analytics
- Good understanding of fundamental framework and concepts of financial modeling including valuation (simple discount cash flows), option pricing model, risk modeling, portfolio performance modeling financial products (derivatives and credit products)
- Good knowledge and experience in SQL, MS Access, VBA, Matlab, SAS, etc
- Good knowledge of data mining and process
- Strong ability to handle multiple tasks and work on projects with a tight deadline
- Prior working experience with DFAST/CCAR Models is preferable
- Prior working experience dealing with US based regulators (OCC/FED) and supporting/leading regulatory submissions (DFAST, CCAR, ) is preferable