Equity Trader - Execution & Data Analytics
About The Position
TIAA is seeking an experienced equity trader for its trading desk, with an emphasis on data analytics, electronic execution, and computational and AI-driven tools to optimize trading performance. The role combines market execution expertise with technical fluency to analyze execution data, build workflow tools, and use algorithmic and AI-based platforms to improve client outcomes. The trader executes equity trades across venues using manual and algorithmic strategies, evaluates execution quality through transaction cost analysis, and develops tools to automate analysis, reporting, and workflows. The position also evaluates AI-driven and algorithmic tools, communicates execution results and data-driven insights to clients and stakeholders, and collaborates with technology and quantitative teams to refine execution strategies and tools. The position is classified as sedentary work. The posting lists a base pay range of $150,000 to $185,000 per year; actual base salary may vary. Depending on the role, compensation may also include participation in a performance-linked incentive program. TIAA describes its workplace as a collaborative in-office environment and offers a comprehensive Total Rewards package, including a retirement program and health, wellness, and work-life offerings.
Requirements
- At least 3 years of direct equity execution and trading experience.
- Hands-on experience with electronic execution platforms and algorithmic trading strategies, such as VWAP, TWAP, POV, and liquidity-seeking algorithms.
- Working knowledge of TCA metrics and benchmarks, including arrival price, implementation shortfall, and VWAP, and ability to apply this data to improve execution decisions.
- Advanced Excel proficiency, including macros/VBA, for building models and automating recurring analysis.
- Programming proficiency in Python, SQL, or VBA, with demonstrated experience building tools, scripts, or dashboards supporting trading or data analysis.
- Strong interpersonal and communication skills; preferred-qualification text specifies experience managing client relationships and explaining technical or data-driven insights to non-technical stakeholders.
- Ability to integrate and contribute within a team-oriented environment.
Nice To Haves
- At least 5 years of work experience is preferred.
- Bachelor's degree in a quantitative field such as engineering, computer science, mathematics, or a related discipline.
- Experience applying AI or machine learning tools to trading workflows, such as predictive analytics, pattern recognition in execution data, or AI-assisted algorithm selection or parameter tuning.
- Familiarity with building or customizing dashboards and visualizations using Python libraries, Power BI, or Tableau to communicate execution performance.
- Knowledge of U.S. equity market structure and relevant regulations.
- Experience with EMS/OMS platforms and API-based connectivity to trading systems.
- Experience managing client relationships and explaining technical or data-driven insights to non-technical stakeholders.
Responsibilities
- Execute equity trades across multiple venues using manual and algorithmic strategies appropriate to order characteristics and market conditions.
- Analyze execution quality using TCA data and benchmarks, identifying trends and opportunities to improve performance.
- Build and maintain Excel macros and Python or SQL scripts to automate data analysis, reporting, and workflow processes.
- Evaluate and help integrate AI-driven or algorithmic tools into the desk's execution process.
- Communicate execution results and data-driven insights clearly and effectively to clients and internal stakeholders.
- Collaborate with technology and quantitative teams to refine algorithmic strategies and execution tools based on data findings.
Benefits
- Comprehensive Total Rewards package.
- Superior retirement program.
- Health, wellness, and work-life offerings.
- Potential participation in a performance-linked incentive program, depending on the role.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
