Director, Systematic Trading Quant

Fidelity InvestmentsBoston, MA
3d$110,000 - $185,000Hybrid

About The Position

The Role We are seeking an equity market professional to help merge our systematic trading and analytics products and create a platform that Fidelity Capital Markets clients can use to navigate and execute in an increasingly complex market. The role will focus on evolving products in Fidelity Capital Markets equity offering towards our integrated platform vision. Improving trading algorithms (VWAP, LSA, IS, Dark, etc.) to achieve best execution for our clients Building and deploying machine learning models through production cycle Conducting performance review, continually validating models in production, examining A/B test results, and proposing new strategies to improve performance of algorithms Staying on top of market structure and deriving ways to optimize the use of new liquidity sources Creating tools, prototypes and simulation engines to streamline processes and test new ideas Working closely with business, trading consultants, product and technology teams to improve product offering The Expertise and Skills You Bring A Master’s or Ph.D. degree with experience degree in Engineering, Computer Science, Applied Mathematics or other relevant quantitative discipline Three year experience in systematic trading and Transaction Cost Analysis (TCA) to improve trading algorithm and systematic outcomes Experience with coaching large language model for quantitative analysis Series 7 and 57 to be obtained within a time frame set by the business unit Your ability to analyze vast amount of data and optimize outcomes of a complex trading system Your in-depth data science, machine learning and analytical knowledge to let data tell stories Your mastery of artificial intelligence to conduct transaction cost and other quant analyses Your eagerness to optimize workflow, create scale and efficiency and learn new things Your delight in data and influence through thought leadership using verbal and written communication Your knowledge of US Equity market, trading algorithms and market microstructure Your technical knowledge in Python, KDB/Q, Snowflake and MCP. The Team Our Systematic Trading and Analytics Platform team develops trading capabilities and provides quantitative expertise to the design of next-generation brokerage products in equity market. We build trading infrastructure and create trading systematic trading solutions to help clients achieve the best execution. We work with clients to improve their trading strategy, educate them about market structure and trading tools, and provide consultation to help them tackle their unique problems. Note: Fidelity will not provide immigration sponsorship for this position. The base salary range for this position is $110,000 - $185,000 per year. Placement in the range will vary based on job responsibilities and scope, geographic location, candidate’s relevant experience, and other factors. Base salary is only part of the total compensation package. Depending on the position and eligibility requirements, the offer package may also include bonus or other variable compensation. We offer a wide range of benefits to meet your evolving needs and help you live your best life at work and at home. These benefits include comprehensive health care coverage and emotional well-being support, market-leading retirement, generous paid time off and parental leave, charitable giving employee match program, and educational assistance including student loan repayment, tuition reimbursement, and learning resources to develop your career. Note, the application window closes when the position is filled or unposted. Most roles at Fidelity are Hybrid, requiring associates to work onsite every other week (all business days, M-F) in a Fidelity office. This does not apply to Remote or fully Onsite roles. Please be advised that Fidelity’s business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.

Requirements

  • A Master’s or Ph.D. degree with experience degree in Engineering, Computer Science, Applied Mathematics or other relevant quantitative discipline
  • Three year experience in systematic trading and Transaction Cost Analysis (TCA) to improve trading algorithm and systematic outcomes
  • Experience with coaching large language model for quantitative analysis
  • Series 7 and 57 to be obtained within a time frame set by the business unit
  • Your ability to analyze vast amount of data and optimize outcomes of a complex trading system
  • Your in-depth data science, machine learning and analytical knowledge to let data tell stories
  • Your mastery of artificial intelligence to conduct transaction cost and other quant analyses
  • Your eagerness to optimize workflow, create scale and efficiency and learn new things
  • Your delight in data and influence through thought leadership using verbal and written communication
  • Your knowledge of US Equity market, trading algorithms and market microstructure
  • Your technical knowledge in Python, KDB/Q, Snowflake and MCP.

Responsibilities

  • Improving trading algorithms (VWAP, LSA, IS, Dark, etc.) to achieve best execution for our clients
  • Building and deploying machine learning models through production cycle
  • Conducting performance review, continually validating models in production, examining A/B test results, and proposing new strategies to improve performance of algorithms
  • Staying on top of market structure and deriving ways to optimize the use of new liquidity sources
  • Creating tools, prototypes and simulation engines to streamline processes and test new ideas
  • Working closely with business, trading consultants, product and technology teams to improve product offering

Benefits

  • comprehensive health care coverage and emotional well-being support
  • market-leading retirement
  • generous paid time off and parental leave
  • charitable giving employee match program
  • educational assistance including student loan repayment, tuition reimbursement, and learning resources to develop your career
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