Quantitative Developer - Trading Algorithms - Millennium : Job Details

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The Central Liquidity Strategies (CLS) business manages portfolios and products designed to optimize the firm's trading and execution by providing internal liquidity solutions for portfolio managers on both risk and agency bases.

We are seeking a highly driven, results-oriented Senior Quantitative Developer with a strong background in building trading algorithms and a deep understanding of market microstructure and execution strategies. The goal is to develop a greenfield internal algorithmic trading platform. This role requires technical expertise, industry knowledge, and leadership skills to develop and optimize trading algorithms aligned with trading objectives.

• Algorithm Development: Develop custom trading algorithms for tailored execution outcomes, implementing portfolio optimization approaches. Create frameworks that rely on internal signals and facilitate use by broader teams with their own signals, independently or collaboratively.
• Simulation: Build simulators using market data and trade history (or models) to evaluate algorithm efficacy.
• Collaboration with Quant Analysts: Partner with research analysts to productionize market microstructure and short-term signal models.
• Performance Evaluation: Develop execution analysis reports with benchmarks to assess algorithm performance.
• Monitoring Tools: Create intraday and post-trade monitoring tools to troubleshoot and monitor algorithm performance.

• 10+ years of relevant experience in trading and finance.
• Expertise in market microstructure of cash equities; knowledge of liquid futures markets is a bonus.
• Hands-on development experience in event-driven, real-time trading processes; proficiency in C++ preferred. Java experience with performance optimization also acceptable. FPGA experience is a plus but not required.
• Experience with trade and market data coding and understanding.
• Leadership experience as a development lead, mentoring junior developers.
• Bachelor's or Master's degree in CS, Electrical & Electronic Engineering, Biochemistry, Applied Math, or Statistics.
• Strong programming skills in C++ or Java, focusing on event-driven real-time trading processes.
• Excellent quantitative, analytical, and problem-solving skills.
• Strong communication skills to convey technical concepts to non-technical stakeholders.
• Ability to work effectively in a team-oriented environment.

The estimated base salary range is $160,000 to $250,000, specific to New York, with total compensation including bonuses and benefits. Final offers consider experience and qualifications.

• Seniority level: Mid-Senior level
• Employment type: Full-time
• Job function: Finance and Sales
• Industries: Investment Management

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