Quantitative Research Developer - Jersey City, NJ at Stevens Capital Management

Jersey City, New Jersey, 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

Financial Services, Hedge FundsIndustries

Skills

Key technologies and capabilities for this role

C++PythonTick DataMarket MicrostructureAlpha GenerationBacktestingTrading SystemsMarket DataTime Series AnalysisLarge Data SetsQuantitative Research

Questions & Answers

Common questions about this position

What is the salary range for this Quantitative Research Developer position?

The anticipated base pay is $150,000 - $300,000 per year, with eligibility for a bonus. Actual compensation will be determined based on skills, qualifications, and experience.

What benefits are offered for this role?

Benefits include health and dental plans, as well as 401(k) contributions with a discretionary profit sharing program.

Is this position remote or does it require working in Jersey City, NJ?

This information is not specified in the job description.

What skills are required for the Quantitative Research Developer role?

Required skills include proficiency in C++ and Python, experience with trading systems using market data, strong understanding of the data path from tick to trade, time series analysis, handling large datasets, and excellent communication skills.

What makes a strong candidate for this position?

A strong candidate has strong technical skills, first-hand experience with tick data, proficiency in C++ and Python, experience building trading systems, and a strong work ethic with critical thinking abilities.

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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