Full-Time

Quantitative Investment Analyst

Magnetar Capital

Magnetar Capital

201-500 employees

Credit-focused alternative asset manager

Compensation Overview

$125k - $200k/yr

+ Discretionary Bonus

No H1B Sponsorship

Evanston, IL, USA

In Person

Category
Quantitative Finance
Required Skills
LLM
Python
R
Machine Learning
MATLAB
Requirements
  • Bachelor's or advanced degree in Mathematics, Statistics, Engineering, Computer Science, Finance, Economics, or a related quantitative field
  • 3–5 years of direct, hands-on experience at a hedge fund or institutional buy-side or sell-side firm, with meaningful exposure to a quantitative strategy desk — such as Risk Arbitrage, Convertible Bond Arbitrage, Volatility Arbitrage, Statistical Arbitrage, or a comparable quantitative strategy
  • Demonstrable first-hand knowledge of Risk Arbitrage with the ability to independently initiate and carry out research and back up the Risk Arb desk
  • Working knowledge of, and the ability to conduct research across, the broader arbitrage landscape — convertible, statistical, and volatility arbitrage in particular
  • Strong quantitative and analytical skills; proficiency in Python, R, MATLAB, or similar programming languages, with hands-on experience in statistical modeling, time-series analysis, or machine learning
  • Solid understanding of financial concepts including portfolio theory, risk/return frameworks, financial instruments, and market dynamics across asset classes
  • Financial acumen and demonstrated curiosity about investing
  • Highly driven, proactive self-starter who takes initiative, operates with urgency, and thrives in an environment that rewards intellectual curiosity and independent thinking
  • Excellent communication skills with the ability to translate complex quantitative analysis into clear, actionable insights for both technical and non-technical audiences
  • Familiarity with applied AI/ML techniques in a financial context, including experience fine-tuning large language models (LLMs) and developing agentic workflows to automate research, data extraction, or investment processes
  • Applicants must be authorized to work in the United States without the need for employer sponsorship now or in the future.
Responsibilities
  • Research, develop, and back-test quantitative arbitrage strategies — including convertible, statistical, volatility, and related approaches — across equities, fixed income, credit, and other asset classes
  • Support, and where needed serve as a back-up for, the Risk Arbitrage desk — independently initiating research while carrying out assigned tasks/analysis
  • Analyze large datasets to identify and validate alpha signals, risk factors, and portfolio construction insights using statistical and machine learning techniques
  • Partner with portfolio managers to translate research findings into actionable investment insights and implement strategies within the portfolio
  • Monitor and evaluate the ongoing performance of quantitative models, identifying degradation and proposing enhancements as market conditions evolve
  • Stay current on developments in quantitative finance, market microstructure, and macroeconomic trends, proactively sharing insights with the team
  • Collaborate cross-functionally with technology, risk management, and operations teams to support the full investment lifecycle
  • Design and deploy AI-powered tools and agentic workflows — including fine-tuned LLMs — to enhance research automation, alternative data processing, and investment decision support

Magnetar Capital manages capital for investors across a mix of investment strategies, including credit, fixed income, systematic strategies, event-driven approaches, and venture capital. It operates in the alternative asset space with a history in the collateralized debt obligation market before the 2007-2008 crisis and today emphasizes distinct, data-informed systematic investing alongside traditional credit and macro strategies. A notable venture-capital effort funds AI startups by providing compute time as a form of capital rather than cash-for-equity, supporting early-stage AI development. The firm’s approach combines multi-strategy asset management with a nontraditional form of financing for startups, aiming to generate returns for its investors through a diversified set of investments and partnerships in technology-driven ventures.

Company Size

201-500

Company Stage

N/A

Total Funding

$4.3B

Headquarters

Evanston, Illinois

Founded

2005

Your Connections

People at Magnetar Capital who can refer or advise you

Simplify Jobs

Simplify's Take

What believers are saying

  • The firm’s AI-bot fund creates demand for orchestration, signal processing, and research infrastructure.
  • TensorWave and Torus expand Magnetar’s exposure to AMD infrastructure and grid-resilience technologies.
  • Its venture arm can source proprietary deal flow around compute capital and AI startups.

What critics are saying

  • AI-bot investing concentrates idea generation in models vulnerable to regime shifts and overfitting.
  • TensorWave and Torus require heavy capital before proving durable unit economics.
  • Venture bets on early-stage AI startups face valuation compression if funding conditions tighten.

What makes Magnetar Capital unique

  • Founded in 2005, Magnetar combines alternative credit, fixed income, quantitative, and ventures strategies.
  • Its quantitative investing emphasizes rules-based, transparent, liquid strategies, not classic data-mined trading.
  • Magnetar Ventures backs early- to growth-stage companies with market-leading ambitions.

Help us improve and share your feedback! Did you find this helpful?

Benefits

Health Insurance

Dental Insurance

Vision Insurance

401(k) Retirement Plan

401(k) Company Match

Unlimited Paid Time Off

Wellness Program

Company News

GrowthCap
Mar 12th, 2026
Alternative Credit Veteran: Magnetar Capital's Michael Henriques

Alternative Credit veteran: Magnetar capital's Michael Henriques. 03.12.26. In this episode, we speak with Michael Henriques, Partner and Senior Portfolio Manager at Magnetar, a multi-strategy alternative investment manager with more than $22 billion in AUM. Founded in 2005, the firm invests across public and private markets in the U.S. and Europe, with a focus on alternative credit, fixed income, and venture strategies. Its Alternative Credit & Fixed Income business targets Specialty Finance, Structured Solutions, and Opportunistic Markets, seeking to generate attractive risk-adjusted returns, particularly during periods of market dislocation. Michael brings three decades of experience in fixed income, structured securities, and real estate. He joined the firm in 2007 and previously served as a Managing Director at Deutsche Bank. Before that, he spent more than ten years at Goldman Sachs, where he began as a structured finance analyst and ultimately co-headed the CDO and Synthetic ABS group. Michael received his MBA from Wharton and his BA from Princeton. Magnetar was recently recognized as a Top Private Credit Firm of 2025 by GrowthCap.

PR Newswire
Feb 17th, 2026
inKind Closes $450 Million in Capital to Fund Up To 10,000 U.S. Restaurants In the Next Year

/PRNewswire/ -- inKind, the leading restaurant commerce enablement platform and technology company, has closed $450 million in capital to accelerate its...

Apptronik
Oct 28th, 2025
Apptronik

Mercedes-Benz, Japan Post Capital, RyderVentures, ARK Invest join B Capital, Capital Factory and Google in oversubscribed round to accelerate commercialization of next-generation humanoid robots

Business Wire
Sep 9th, 2025
Torus Secures $200M for Modular Power Plants

Torus Inc. has secured a $200 million investment from Magnetar to accelerate the deployment of its modular power plants for utilities, data centers, and industries in the U.S. Torus' hybrid energy systems combine mechanical flywheels and batteries, forming a distributed grid operating system. The company is expanding its partnership with PacifiCorp and plans to open a large manufacturing campus in Salt Lake City. Torus aims to scale production to over 1 gigawatt per quarter within three years.

FinSMEs
May 14th, 2025
TensorWave Raises $100M in Series A Funding

TensorWave, a Las Vegas, NV-based company developing AMD-powered AI infrastructure solutions, raised $100M in Series A funding