Squad Lead, Quantitative Development

Fidelity•Boston, MA

14h•$110,000 - $185,000•Hybrid

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. Implementing and improving trading algorithms (VWAP, LSA, IS, Dark, etc.) through systematic A/B tests Leading coordination across business, trading consultants, data scientists and technology teams to improve product offering and deploy platform solutions Modernizing trading infrastructure and data pathways to offer scalable solutions to a wide range of customer demands Managing risk through automated fail-safe recovery mechanism, real-time alerting, systematic back testing, documenting systems, processes, jira follow-ups, and resolving real-time production incidents Analyzing trading data and deriving solutions to lower transaction cost for our customers Demonstrate a strong customer focus, influencing revenue and expense key performance indicators (KPIs). 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 algorithms 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.

Requirements

Bachelor's Degree with additional experience (Master’s or Ph.D. preferred) in Engineering, Computer Science, Applied Mathematics or other relevant quantitative discipline
2+ years of experience in systematic trading and Transaction Cost Analysis (TCA) to improve trading algorithms, or experience managing multiple, complex projects simultaneously.
Experience in financial services is preferred.
Series 7, 57, and 63 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 attention to detail, discipline in execution, and ability to manage multiple projects
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 ability to lead the end-to-end product delivery lifecycle to beat client expectations
Your technical knowledge in Python, KDB/Q, Snowflake, Kafka and AWS.

Responsibilities

Implementing and improving trading algorithms (VWAP, LSA, IS, Dark, etc.) through systematic A/B tests
Leading coordination across business, trading consultants, data scientists and technology teams to improve product offering and deploy platform solutions
Modernizing trading infrastructure and data pathways to offer scalable solutions to a wide range of customer demands
Managing risk through automated fail-safe recovery mechanism, real-time alerting, systematic back testing, documenting systems, processes, jira follow-ups, and resolving real-time production incidents
Analyzing trading data and deriving solutions to lower transaction cost for our customers
Demonstrate a strong customer focus, influencing revenue and expense key performance indicators (KPIs).

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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