Jobs in the United States

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Location: Remote Must reside in the USA (PST)
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Oracle Financial Reporting Analyst
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AI Solutions Engineer, GTM
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Added 10 mins ago
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Forward Deployer Engineer (Revenue)
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- $150,000 to $165,000 USD / year
Added 11 mins ago
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Added 11 mins ago
FG
Associate Director, Sr. Product Specialist
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United States
- $110,000 to $120,000 USD / year
Experience with Financial Technology - ideally SAAS products, Excel, SQL, or another coding language
Added 12 mins ago
Fixed Income Pricing Evaluator
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Knowledge of applied AI, SQL, VBA, and other programming languages advantageous
Added 16 mins ago
Quant Risk Researcher
Millennium
New York
Strong coding skills, including Python (pandas, NumPy, SciPy, scikit-learn or similar), SQL, kdb+/q and C++; experience in GUI development is a plus.
Added 18 mins ago
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Quantitative Risk Modeling and Analytics Manager
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Columbus, OH · Atlanta, GA · Charlotte, NC · Minnetonka, MN
- $93,000 to $189,000 USD / year
Recruiting agencies must have a valid, written and fully executed Master Service Agreement and Statement of Work for consideration.
Added 18 mins ago
UG
Data Analyst - Remote
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- $60,200 to $107,400 USD / year
area, you will be required to work in the office a minimum of four days per week
Added 19 mins ago
Infrastructure Engineer
Virginia Community Colleges
VA
Support Microsoft SQL Server and Power BI infrastructure, including gateways, service accounts, authentication, data connectivity, scheduled refresh dependencies, certificates, security,…

Millennium

Quant Risk Researcher

New York, United States

Apply on career.mlp.com About employer

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Job details

Apply by: May 11, 2027
Posting language: English
Posted: Nov 12, 2026

Original job description

Quant Risk Researcher

About Millennium

Millennium is a global, diversified alternative investment firm, founded in 1989. Defined by evolution, innovation and focus, Millennium's mission is to deliver results for our investors.

Our people are empowered with both independence and support: the autonomy to pursue ideas with conviction and the backing of a global network committed to collaboration, disciplined risk management and continuous learning. With opportunities to deepen expertise and accelerate development, talent at Millennium is equipped to adapt, evolve and build lasting impact over time. Discover how transformative growth accelerates impact.

Meet the Team

Millennium's Global Risk Management Department is responsible for identifying, measuring, monitoring, managing and reporting on the risks associated with Millennium's portfolios at the Firm-wide and Portfolio Manager levels, with a focus on the market, credit and liquidity risks the Firm faces in the course of its business. At the Portfolio Manager level, the team establishes and monitors trading parameters, risk guidelines and performance metrics across three regions and multiple product classes and also monitors aggregations of risk up to the full Firm-wide level. Within Risk Management, the team partners directly with Portfolio Managers running systematic and quantitative strategies across global futures, FX, rates, equity index and commodities. The team combines risk management with quantitative research and performance analytics to understand, represent and monitor how those strategies behave, and is based across New York and London.

What You'll Do

Monitor and explain P&L, performance and risk for Quantitative Strategies Portfolio Managers across global futures, FX, rates, equity index and commodities, engaging with them on a regular basis.
Build quantitative models and analytics for performance attribution and risk analysis, working with large and diverse datasets.
Research and implement new risk methodologies and techniques to represent and monitor systematic strategies, with attention to robustness, implementation and liquidity.
Develop and refine simulation models for risk measurement, such as VaR enhancements, scenario analysis and factor modeling.
Design and enhance pricing models and visualization tools that make risk and performance transparent to Portfolio Managers and the broader Risk team.
Improve the team's research and analytics infrastructure, including data pipelines, backtesting tools and performance analytics.
Apply machine learning and AI techniques to strengthen risk and performance analytics.
Partner closely with Portfolio Managers, risk managers and technologists to move ideas from research into production.

What You Bring

Master's degree or PhD in a quantitative field such as mathematics, engineering, computer science or physics; PhD preferred but not required.
Experience in a trading, risk or quantitative research role (e.g., alpha research, portfolio optimization, risk modeling) within a hedge fund, asset manager or similar trading environment; experience in volatility, rates or quantitative macro strategies is highly desirable.
An applied, practical mindset - a builder who prefers solving real problems over purely theoretical work; experience applying machine learning or AI techniques is a plus.
Highly analytical, proactive and attentive to detail, with strong problem-solving skills and genuine intellectual curiosity about markets.
Strong coding skills, including Python (pandas, NumPy, SciPy, scikit-learn or similar), SQL, kdb+/q and C++; experience in GUI development is a plus.
Excellent command of statistics, time series analysis and optimization methods, with rigorous model evaluation and a healthy skepticism around overfitting.
Entrepreneurial inclination: able to work independently, own projects end to end and prioritize in a fast-moving, high-pressure, constantly changing environment.
Strong team player with excellent written and verbal communication skills and the ability to build smooth working relationships with Portfolio Managers and across the Risk team.

Salary Range

Millennium offers a total compensation package which includes a base salary, discretionary performance bonus, and comprehensive benefits. 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. 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.

Apply on career.mlp.com About employer

More about this job

Skills

Research
Machine learning
Computer science
Problem solving
Python
pandas
NumPy
SciPy
Scikit-learn
SQL
C++
Statistics
Work independently
Communication skills

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Jobs in the United States