Quantitative Researcher - Portfolio Optimization at Stevens Capital Management

Radnor Twp, Pennsylvania, United States

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$150,000 – $300,000Compensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Finance, Quantitative TradingIndustries

Requirements

Strong quantitative background (PhD or Master’s in Applied Math, Operations Research, Computer Science, or related field)
Proven experience with MOSEK or other optimization frameworks
Deep understanding of slippage, transaction cost modeling, and intraday trading
Familiarity with real-time data processing and execution systems
Programming skills in Python and/or C++
Experience integrating optimization routines in production trading systems

Responsibilities

Design and implement multi-period portfolio optimization frameworks incorporating transaction costs, slippage, and other market frictions
Leverage MOSEK and other optimization solvers to build scalable and efficient models
Develop and refine intraday trading strategies and execution algorithms
Monitor and analyze model performance in a live trading environment

Skills

Key technologies and capabilities for this role

MOSEKPythonC++portfolio optimizationtransaction costsslippage modelingintraday tradingexecution algorithmsreal-time data processing

Questions & Answers

Common questions about this position

What is the salary range for the Quantitative Researcher position?

The base pay is anticipated to be between $150,000 and $300,000 per year, with eligibility for bonuses and other compensation that can form a significant portion of total pay.

Is remote work an option for this role?

Yes, SCM offers the opportunity to work in person, remotely, or in a hybrid work environment.

What skills and experience are required for this position?

Candidates need a strong quantitative background with PhD or Master’s in Applied Math, Operations Research, Computer Science or related; proven experience with MOSEK or optimization frameworks; deep understanding of slippage and transaction costs; Python and/or C++ programming; and experience with real-time data and production trading systems.

What is the company culture like at Stevens Capital Management?

SCM is committed to a workplace that values diversity, inclusion, equal opportunity, and ensures employees are valued, heard, engaged, and have opportunities to collaborate, contribute, and grow professionally.

What benefits are offered with this position?

Benefits include health and dental plans, 401(k) contributions with a discretionary profit sharing program, and eligibility for bonuses.

Stevens Capital Management

Quantitative hedge fund manager employing trading strategies

About Stevens Capital Management

Stevens Capital Management LP (SCM) operates as a quantitative hedge fund manager that focuses on developing and implementing data-driven trading strategies. With over 30 years of experience, SCM employs a team that utilizes extensive datasets and technology to create automated trading strategies in highly liquid financial markets. The company emphasizes a rigorous approach, applying the scientific method to ensure disciplined execution of its strategies. Unlike many competitors, SCM prioritizes a collaborative work environment and actively seeks talented individuals with a strong track record in quantitative research and C++ development. The primary goal of SCM is to continuously enhance its trading strategies and maintain a leading position in the financial markets.

Radnor Township, PennsylvaniaHeadquarters

2002Year Founded

VENTURE_UNKNOWNCompany Stage

Quantitative Finance, Financial ServicesIndustries

11-50Employees

Benefits

Health Insurance

Dental Insurance

401(k) Retirement Plan

401(k) Company Match

Hybrid Work Options

Risks

Increased competition from AI-driven hedge funds could erode SCM's market share.

Regulatory scrutiny on alternative data use may impact SCM's trading strategies.

Talent acquisition challenges in tech could hinder SCM's software development capabilities.

Differentiation

SCM specializes in empirically based trading strategies for over 30 years.

SCM utilizes extensive data sets and the scientific method for trading strategies.

SCM actively recruits top talent for quantitative research and C++ development.

Upsides

SCM can leverage ESG investing trends with its data-driven approach.

SCM can enhance trading strategies using machine learning and alternative data sources.

Remote work trends allow SCM to recruit top global talent for research and development.

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