Quantitative Strategist Job Description
Quantitative Strategist Duties & Responsibilities
To write an effective quantitative strategist job description, begin by listing detailed duties, responsibilities and expectations. We have included quantitative strategist job description templates that you can modify and use.
Sample responsibilities for this position include:
Quantitative Strategist Qualifications
Qualifications for a job description may include education, certification, and experience.
Education for Quantitative Strategist
Typically a job would require a certain level of education.
Employers hiring for the quantitative strategist job most commonly would prefer for their future employee to have a relevant degree such as Master's and Bachelor's Degree in Engineering, Computer Science, Physics, Mathematics, Statistics, Finance, Math, Graduate, Applied Mathematics, Software Engineering
Skills for Quantitative Strategist
Desired skills for quantitative strategist include:
Desired experience for quantitative strategist includes:
Quantitative Strategist Examples
Quantitative Strategist Job Description
- Be a critical part of an industry-leading technology organization in support of rapidly expanding needs in the firm’s strategic initiatives
- Work closely with the traders, sales and client of the Institutional Equity division to conduct quantitative research and design systematic investment strategies that clients can invest in
- Execute client requests such as back-testing, simulations, portfolio rebalancing/transitions, portfolio style analysis and portfolio risk decomposition, and exposure management
- Front office role responsible for production support including infrastructure, exchange connectivity, market data, algorithms, and analytical components
- Software development to automate operational aspects of the system
- Direct interaction with traders, quants, and developers
- Research alpha on horizons spanning microseconds to days and weeks
- Analyze large sets of data using advanced statistical techniques
- Statistical analysis of trades and positions for the purposes of improving profitability
- Portfolio risk analysis
- A highly technical leader with core strengths in the FI business environment
- An advanced degree (PhD or MS) with strong Mathematical and Economics background, preferably with a concentration in Math, Statistics, Computer Science, Engineering or Operations Research
- Experience with statistical packages like R or Matlab, traditional
- Strong programming background in a scripting language (Perl, Python)
- Pricing models for options
- Strong quantitative, problem solving and programming skills
Quantitative Strategist Job Description
- Participate in the design of the analytics library and its integration within the firm IT systems
- Participate in the effort to improve our development processes
- Create tools to improve the productivity of the global strat team
- Monitor Asian Markets (Japan, Australia, Korea) JGB, TOPIX, KOSPI, ASX
- Part of 2-person team that runs models to identify trades
- Strategize with colleagues and Sr Managers on best ways to implement and execute trades
- Run risk and pricing models to identify yield curve aberrations and anomalies in the FX and Equity markets
- Develop a close relationship with brokers and dealers to drive best execution of these trades
- Participate in the project to develop further our volatility surfaces fitting process in terms of efficiency and resources usage
- Participate in the effort to increase the overall efficiency of the equity analytics library
- Experience with large dataset manipulation (such as Excel Pivot Table, a plus to know QS relation objects, Perl, R scripts
- Broad product knowledge across Macro (rates + FX cash and derivatives)
- Having a good knowledge and experience of key risk systems within Macro (MARS, GFX Jane, Rhino, Pure ) is a bonus
- Capable of delivering to a deadline
- Creativity – able to bring and effectively communicate new ways of analysing risk
- College degree in engineering or related field of research
Quantitative Strategist Job Description
- Creating, testing, and marketing new futures market frameworks and analyses to identify trading opportunities across regions and asset classes
- Collaborating with the global Listed Derivatives execution desks to develop new areas of content, identify actionable trade ideas, and engage content with Listed Derivatives clients
- Connecting content with new and existing clients to grow Listed Derivatives revenues
- Design, build and maintain complex, scalable, high frequency, low latency and high capacity distributed software systems in C++ for real time order state management, trading and risk management, smart order routing and internalization functions
- Participate in all aspects of the development lifecycle coupled with heavy interaction with traders, clients and compliance officers globally
- Develop new investment frameworks
- Tool development and prototyping
- Write code to simulate the assets and liabilities of our clients
- Forecasting long-term asset return, risk and correlation estimates
- Verify model performance and use
- Experience with C and VBA Excel programming, along with use of programming tools for Excel, Market, and Mathlab
- Several years’ experience working with derivative models, ideally equity, but FX, commodity or Rates will be considered
- Experience in quantitative Equity and/or cross-asset research including stock selection, cross-asset quantitative strategies, portfolio optimization and alpha modeling
- Knowledge of the full suite of Equity Derivative products from Delta-One to Exotic Volatility
- Experience of asset classes outside Equities is a bonus
- Able to build strong internal and external relationships and articulate ideas confidently
Quantitative Strategist Job Description
- Act as a credible ambassador representing the quant equity portfolio management teams to Chinese regulators
- Drive business growth in the onshore China region by proactively building client relation
- With Portfolio Manager and Hong Kong based Strategist oversight, prepare portfolio reviews, commentaries and other timely marketing materials that can be shared with account managers and clients
- Meet with clients, prospects and internal colleagues to explain the investment philosophy, process, and product performances of the onshore Fund in local language
- Portfolio rebalance and trade list generation, ensuring consistency with China model insights and market movements
- Analyzing performance to understand model and risk factor contributions to returns
- Identifying and monitoring factor exposures and event risks
- Implementing systematic risk controls
- Owning portfolio management-related operational issues and working cross-functionally
- Maintain and up-to-date knowledge base on the investment team’s latest investment signals employed in the Fund
- Need to be comfortable doing some tactical software development to interface with existing technology/modelling infrastructure
- Strong quantitative skills in regression and time-series analysis, data modeling, statistics and probability
- Interest and knowledge in financial markets, products and participants (especially equities)
- Clear, critical thinking
- Technical post-graduate degree, in mathematics, physics, engineering, computer-science or related fields
- At least 5 to 7 years of experience covering quantitative strategies at a big investment bank, hedge fund, or money manager
Quantitative Strategist Job Description
- Research & Analysis on cross asset quantitative strategies
- Preparation of written documents to communicate the findings to clients
- Presentations and meetings with internal and external clients
- Work closely with other researchers to develop and improve models, and help translate algorithms into code
- Build quantitative models
- Update the models whenever necessary, and improve or replace them when appropriate
- Collect relevant public information and data, ensuring it comes from reliable sources
- Participate in industry events, when necessary
- Supervise the collection of data by direct reports, and the building and use of models, ensuring reliability through the verification of sample data, and other means
- Develop innovative and value-adding approaches, both for collecting data and for analysing it, in order to provide clients with input that adds value to their thought process
- A particular focus on fixed income, currencies, and/or commodities (FICC) would be an advantage
- Knowledge of micro and macroeconomics, financial economics, financial derivatives, and portfolio theory would be an advantage
- Advanced programming skills (preferably C#, R, and/or Phython) and applied packages (Matlab, EViews, STATA)
- Very strong skills in software design and architecture if possible applied within the analytics library of a front office team
- Several years’ experience working with C++ in a commercial environment
- An advanced degree in a quantitative subject such as Engineering, Software Engineering Applied Mathematics, Physics