What are the responsibilities and job description for the Quantitative Developer, Volatility position at Millennium?
Quantitative Developer, Volatility (REQ-24492)
Millennium is a top tier global hedge fund with a strong commitment to leveraging market innovations in technology and data to deliver high-quality returns.
A dynamic, collaborative, and entrepreneurial systematic investment team is seeking a strong volatility quantitative developer to join in coding new signals and strategies. This opportunity provides an innovative and fast-paced environment with excellent opportunities for career growth.
Job Description
Quantitative developer with a focus on coding mostly in python a full single stock and index volatility investment platform, including a research infrastructure, a backtester, and helping on single stocks and index options strategies as part of an entrepreneurial and ambitious team.
Location
New York
Principal Responsibilities
Millennium is a top tier global hedge fund with a strong commitment to leveraging market innovations in technology and data to deliver high-quality returns.
A dynamic, collaborative, and entrepreneurial systematic investment team is seeking a strong volatility quantitative developer to join in coding new signals and strategies. This opportunity provides an innovative and fast-paced environment with excellent opportunities for career growth.
Job Description
Quantitative developer with a focus on coding mostly in python a full single stock and index volatility investment platform, including a research infrastructure, a backtester, and helping on single stocks and index options strategies as part of an entrepreneurial and ambitious team.
Location
New York
Principal Responsibilities
- Work alongside the Senior Portfolio Manager with a focus on:
- Coding and improving data, alpha, portfolio construction, execution and risk pipelines
- Providing the infrastructure for the coding of trading ideas, monetization, and evaluation of live trading of strategies and overall performance
- Productionalize and maintain live systems
- Conduct testing and debugging of all systems owned by the team
- Partner with other teams to implement and code methodologies and modelling approaches for trading, data analysis, research, and risk management
- Expert in Python programming skills (SQL and KDB/Q are a plus)
- Proficient in linux, the data science stack (sklearn), optimization (mosek), parallelization (Slurm), and version control (git)
- Bachelor's or Master's degree in Computer Science or related STEM field from top ranked University
- Excellent communication, problem-solving, and analytical skills, with the ability to quickly understand and code complex concepts
- Some knowledge of equity derivatives
- 3 year of experience as a quantitative developer, preferably in volatility, but open to candidates coming from both tech and the finance industry.
- Strong experience in building platforms, including for statistical methods leveraging machine learning techniques
- Experience collaborating effectively with cross functional teams, multitasking and adapting in a fast-paced environment
- Strong intuition navigating around all the technological aspects and requirements of trading
- Ability to adapt to a complex corporate technology stack, using multiple data sources and centralizing multiple tools.
- Extremely rigorous, critical thinker, self-motivated, detail-oriented, and able to work independently in a fast-paced environment
- Entrepreneurial mindset
- Curiosity and critical thinker
- Eagerness to learn and grow professionally
- Highly organized, eager to improve and create tools in order to increase efficiency and to scale up the development effort
- Q1 2025 or Q2 2025
Salary : $100,000 - $200,000