Quantitative Execution Analyst - Equities

Quantitative Execution Analyst - Equities

An execution / trading focused experienced quant analyst needed to join a small group of technical execution quants in the firm’s central trading division. The team partners with trading technology teams, portfolio managers, business development teams, traders with the goal of building scalable, automated trading processes. 

We consult, advise, and assist the firm’s traders and portfolio managers to improve their trading. We collaborate with the firm’s technologists to enhance trading systems and build new products.  We maintain working relationships with our sell-side broker partners to help with the evaluation and design of their algorithms and other trading services.  

Principal Responsibilities 

• Steer product development of the firm’s central trading processes and internal liquidity pools, solicit appropriate inputs from various stakeholders.

• Improve and broaden the firm’s existing processes that measure and explain trading performance of a particular portfolio management team.

• Explore and recommend opportunities to improve execution quality by interpreting performance reports and performing custom analysis.

• Contribute to feature development in the execution algorithms analysis framework (expansion by asset class, product specifics, trading style specifics, and additional market coverage).

• Conduct quantitative research, identify patterns, evaluate trends. Formulate and test hypotheses, design tests, interpret results.

• Contribute to regular data maintenance (monitoring and cleaning) and internal product documentation.

• Develop expertise in the firm’s trading practices and industry developments.

Qualifications 

• 4+ years of relevant systematic equities trading or quant analyst experience in a trading logic/execution capacity.

• Bachelor's or Master's degree in Computer Science, Mathematics, Physics, Statistics or Engineering.
• Experience in Python and KDB/Q is essential.
• Unix and variants, shell and collaborative development (e.g. GIT) experience is preferred.
• Basic principles of statistical inference and excellent quantitative and analytical skills, with the ability to interpret complex data and develop actionable insights. 
• Proven ability to solve complex problems and think critically in quickly evolving situations.
• Strong verbal and written communication skills, with the ability to convey technical concepts to non-technical stakeholders. 
• Ability to work effectively in a team-oriented environment, collaborating with cross-functional teams. 

The estimated base salary range for this position is $160,000 to $250,000, which is specific to New York and may change in the future. Millennium pays a total compensation package which includes a base salary, discretionary performance bonus, and a comprehensive benefits package. When finalizing an offer, we take into consideration an individual’s experience level and the qualifications they bring to the role to formulate a competitive total compensation package.