# Quantitative Analyst – Quant Analyst Program

**Company**: Unknown
**Location**: New York, New York
**Experience**: entry
**Job type**: full-time
**Salary**: $160,000 to $250,000
**Category**: Finance
**Industry**: Finance
**Wikidata**: https://www.wikidata.org/wiki/Q137915550

**Apply**: https://mlp.eightfold.ai/careers/job/755959471860?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_4663e8d7-651

## Description

Millennium's Global Risk Management Department is responsible for identifying, measuring, monitoring, managing and reporting on the risks associated with Millennium's portfolios. The Quantitative Strategies team is a collaborative and entrepreneurial investment team that develops quantitative investment strategies across asset classes. The team is launching a Quant Analyst Program designed to develop early-career quants over 18–24 months into strong, cross-asset systematic researchers.

**What You'll Do**

- Complete a structured 18–24 month development program combining formal technical training in backtesting methodology, signal design, portfolio construction, risk and volatility modeling, and transaction cost modeling.

- Rotate through asset class research across equities, FX, rates, commodities, and options/volatility, learning market structure, common alpha sources, implementation constraints, and risk frameworks in each.

- Conduct original research and contribute new signals and features across quant themes.

- Build and improve shared research infrastructure, including data pipelines, backtesting tools, risk and volatility models, transaction cost models, and performance diagnostics.

- Analyze strategy performance with attention to robustness, implementation, transaction costs, liquidity, and risk exposures.

- Gain hands-on exposure to trading, operations, compliance, technology, and risk to understand how ideas become investable strategies.

- Partner closely with senior quants, portfolio managers, and technologists to move ideas from research into shadow and production.

- Present research in regular team seminars and take ownership of an independent research project.

**What You Bring**

- Advanced undergraduate, Master’s, or PhD degree (completed or expected) in a quantitative field such as mathematics, statistics, computer science, physics, engineering, or economics/econometrics.

- Strong Python skills, including experience with common scientific/data libraries.

- Strong grounding in statistics, probability, optimization, and empirical modeling.

- Genuine interest in financial markets and systematic investing.

- Research discipline and the demonstrated ability to conduct independent, reproducible research.

- High intellectual curiosity, creativity, and proactive problem-solving.

- Strong written and verbal communication skills and the ability to work in a transparent, collaborative team.

## Skills

### Required
- Python
- statistics
- probability
- optimization
- empirical modeling
- SQL
- C++

### Nice to have
- machine learning
- derivatives
- large datasets
- time series analysis

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Source: [Apply at mlp.eightfold.ai](https://mlp.eightfold.ai/careers/job/755959471860?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)