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Senior Execution Quantitative Analyst

Millennium Management

New York (NY)

On-site

USD 160,000 - 250,000

Full time

30+ days ago

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Job summary

Join a forward-thinking firm as an Execution Quantitative Analyst, where you'll collaborate with traders and technologists to enhance trading systems and develop automated processes. This role involves analyzing trading performance, improving execution quality, and contributing to product development in a dynamic trading environment. With a strong focus on quantitative analysis and statistical inference, you'll play a key role in driving the firm's trading strategies. If you have a passion for data and a knack for problem-solving, this opportunity offers a competitive compensation package and the chance to make a significant impact in the trading world.

Qualifications

  • 4+ years of experience in systematic vol trading or quant analysis.
  • Strong quantitative skills and ability to interpret complex data.

Responsibilities

  • Steer product development of trading processes and internal liquidity pools.
  • Conduct research, identify patterns, and evaluate trends in trading.

Skills

Quantitative Analysis
Statistical Inference
Problem Solving
Communication Skills
Analytical Skills
Team Collaboration
Python
Kdb/q

Education

Bachelor's degree in CS, Electrical Engineering, Biochemistry, Applied Mathematics, or Statistics
Master's degree in relevant fields

Tools

Unix
Excel
Shell Scripting

Job description

Execution Quantitative Analyst

Position Overview

An execution / trading focused experienced quant analyst need 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, and 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

  1. Steer product development of the firm's central trading processes and internal liquidity pools, soliciting appropriate inputs from various stakeholders.
  2. Improve and broaden the firm's existing processes that evaluate and drill into trading performance of a particular portfolio management team.
  3. Look for and recommend possible opportunities to improve execution quality by interpreting performance reports and performing custom analysis.
  4. Contribute to feature development in the analysis system (expansion by asset class, product specifics, trading style specifics, and additional market coverage).
  5. Conduct research, identify patterns, and evaluate trends.
  6. Formulate and test hypotheses, design tests, and interpret results.
  7. Communicate all ideas, questions, and conclusions concisely and effectively.
  8. Contribute to regular data maintenance—monitoring and cleaning.
  9. Develop expertise in the firm’s trading practices and industry developments.

Qualifications

  1. 4+ years of relevant systematic vol trading or quant analyst experience.
  2. Bachelor's or Master's degree in CS, Electrical & Electronic Engineering, Biochemistry, Applied Mathematics, or Statistics.
  3. Experience in a trading logic/execution capacity for a systematic trading process strategy on the buy side is a bonus and can substitute for the 4+ years of sell-side experience requirement.
  4. Experience as a hands-on development lead, mentoring and guiding junior developers.
  5. Basic principles of statistical inference and excellent quantitative and analytical skills, with the ability to interpret complex data and develop actionable insights.
  6. Strong verbal and written communication skills, with the ability to convey technical concepts to non-technical stakeholders.
  7. Proven ability to solve complex problems and think critically in quickly evolving situations.
  8. Ability to work effectively in a team-oriented environment, collaborating with cross-functional teams.
  9. Experience in Python is essential; experience in kdb/q is highly preferred.
  10. Unix and variants, Excel, and shell experience are essential.

The estimated base salary range for this position is $160,000 to $250,000, 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.

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