Quantitative Developer, Volatility

New York, New York, US Until 8/22/2026 First posted March 29, 2025 Last posted March 29, 2025
Job description
Quantitative Developer, Volatility

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

  • 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

Preferred Technical Skills

  • 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

Preferred Experience

  • 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

Highly Valued Relevant Experience

  • 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

Target Start Date

  • Q1 2025 or Q2 2025

Millennium pays a total compensation package which includes a base salary, discretionary performance bonus, and a comprehensive benefits package. The estimated base salary range for this position is $100,000 to $200,000, which is specific to New York and may change in the future. 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.

About this role

Summary

Develop and maintain a volatility investment platform using Python.

Job title

Quantitative Developer, Volatility

Experience level

3+ years

Industry

finance

Location requirements

Located in New York; remote work not allowed.

Salary

$100,000 to $200,000

Management role

No

Skills & keywords

Required skills

pythonlinuxdata scienceoptimizationversion controlcommunicationproblem-solvinganalyticalequity derivatives

Preferred skills

SQLKDB/QsklearnmosekSlurmgit

Specializations

volatilitypythondata analysisrisk managementmachine learning
Locations

Structured locations inferred from the posting.

New York, NY, USA

On-site City