Senior Quantitative Researcher Futures - Jersey City, NJ at Stevens Capital Management

Jersey City, New Jersey, United States

Stevens Capital Management Logo
$150,000 – $300,000Compensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Quantitative Finance, Financial TradingIndustries

Requirements

  • 5+ years of experience in high frequency trading, systematic trading, or quantitative research
  • Experience utilizing statistical modeling techniques to develop systematic trading models
  • Strong interest in financial markets
  • Exceptional economic intuition
  • Excellent communication skills
  • Meticulous attention to detail
  • Practical business orientation
  • Degree(s) in statistics, mathematics, computer science, or other technical disciplines

Responsibilities

  • Design, research, and evaluate new systematic trading strategies in the futures markets
  • Continuously evaluate and improve existing strategies
  • Continuously evaluate and improve existing processes (research tech stack, codebase, data sources, modeling techniques, etc.)

Skills

Key technologies and capabilities for this role

Statistical ModelingSystematic TradingHigh Frequency TradingQuantitative ResearchFutures Markets

Questions & Answers

Common questions about this position

What is the salary range for this Senior Quantitative Researcher 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 and experience are required for this role?

Candidates need 5+ years in high frequency trading, systematic trading, or quantitative research, experience with statistical modeling for trading models, a degree in statistics, mathematics, computer science or similar, plus strong interest in financial markets, exceptional economic intuition, excellent communication, attention to detail, and practical business orientation.

What does the company culture emphasize?

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

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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