Squad Lead, Quantitative Development

Job Description:

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).

• 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.