Execution Developer - Jersey City, NJ at Stevens Capital Management

Jersey City, New Jersey, United States

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$100,000 – $250,000Compensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

Finance, Quantitative TradingIndustries

Requirements

A minimum of three years professional-level C++ programming experience in a Linux environment
A Computer Science or Mathematics degree
Outstanding problem-solving skills
Knowledge of shell scripts and other languages including Java, Python or Perl is a plus

Responsibilities

Develop and support multi-threaded applications with a strong emphasis on high performance
Optimize our multi-faceted low latency global trade execution platform using network and systems programming
Create tools to process, store and analyze quote and order data
Work closely with our quantitative research analysts, engineers and other groups to provide software solutions

Skills

Key technologies and capabilities for this role

C++Linuxmultithreadinglow-latency programmingnetwork programmingsystems programmingshell scriptingPythonJavaPerl

Questions & Answers

Common questions about this position

What is the salary range for the Execution Developer position?

The anticipated base pay is between $100,000 and $250,000 per year, with additional compensation such as bonuses that can be a significant portion of total compensation.

Is this position remote or does it require office work in Jersey City?

The position is remote.

What skills are required for this role?

A minimum of three years professional-level C++ programming experience in a Linux environment, a Computer Science or Mathematics degree, and outstanding problem-solving skills are required. Knowledge of shell scripts and languages like Java, Python or Perl is a plus.

What is the company culture like at Stevens Capital Management?

The company promotes a workplace that values diversity, inclusion, and equal employment opportunity, with employees valued, heard, engaged, and involved. They seek highly driven, production-oriented developers for a fast-paced collaborative environment.

What benefits are offered for this position?

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

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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