Senior C++ Developer - 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
FinanceIndustries

Requirements

  • Undergraduate or graduate level degree in Computer Science, Mathematics, or related field
  • C++ programming experience in a Linux environment
  • Excellent academic record
  • Strong problem-solving skills
  • Knowledge of shell scripts and other languages (including Python) is a plus
  • Knowledge of relational databases (including Sybase, MySQL, SQL Server, and Oracle) is a plus

Responsibilities

  • Develop new software and enhance existing systems in C++ on a Linux platform
  • Create tools to process, store, and analyze quote, order, and financial data
  • Work closely with quantitative research analysts, engineers, and other groups to provide software solutions

Skills

Key technologies and capabilities for this role

C++LinuxPythonShell scriptsSybaseMySQLSQL ServerOracle

Questions & Answers

Common questions about this position

What is the salary range for the Senior C++ Developer position?

The base pay is anticipated to be between $150,000 and $300,000 per year, with actual compensation determined based on skills, qualifications, and experience.

What benefits are offered for this role?

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

Is this position remote or office-based in Jersey City?

This information is not specified in the job description.

What skills are required for the Senior C++ Developer role?

Required skills include C++ programming experience in a Linux environment, an undergraduate or graduate degree in Computer Science, Mathematics, or related field, excellent academic record, and strong problem-solving skills. Knowledge of shell scripts, Python, and relational databases like Sybase, MySQL, SQL Server, and Oracle is a plus.

What does the company value in candidates for this position?

The company seeks highly driven, well-organized, and motivated candidates who value diversity, inclusion, and equal opportunity, with strong skills and qualifications determining compensation.

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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