Quantitative Research Developer - Remote

Stevens Capital Management LP; Radnor (Delaware County); Remote; USD 150,000 - 300,000; Full time

Benefits offered by this job

Health and dental plans

401(k) contributions

Discretionary profit sharing program

Job summary

A leading financial firm is searching for a driven Quantitative Research Developer to join their team. This role requires strong technical skills in C++ and Python, focusing on the intersection of market microstructure and alpha generation. The ideal candidate will design and support trading systems, contributing to innovative execution strategies within a flexible work environment.

Qualifications

• Proficient in C++ and Python with real-world trading system experience.
• Strong understanding of market data and time series analysis.

Responsibilities

• Design and develop simulation frameworks for backtesting.
• Collaborate with quantitative researchers on new trading ideas.

Skills

C++

Python

Data Analysis

Communication

Critical Thinking

Creativity

Job description

Quantitative Research Developer - Remote

Radnor, PA

SCM is committed to a workplace that values and promotes diversity, inclusion and equal employment opportunity by ensuring that all employees are valued, heard, engaged and involved at work and have full opportunities to collaborate, contribute and grow professionally.

We’re seeking a highly driven, production-oriented quantitative research developer who has strong technical skills, first-hand experience with tick data, and interest in the intersection of market microstructure and alpha generation. SCM offers the opportunity to work in person, remotely or in a hybrid work environment.

Primary Responsibilities:

• Design, develop and support simulation frameworks for backtesting execution approaches.
• Work with other quantitative researchers to develop new trading ideas.

Requirements:

• Proficiency and experience in C++ and Python.
• Experience researching, building and maintaining trading systems utilizing market data.
• Strong understanding of data path from tick to trade.
• Experience analyzing time series data.
• Experience with large data sets.
• Excellent verbal and written communication skills.
• Strong work ethic and desire for excellence.
• Desire to think critically and creatively.

The base pay for this position is anticipated to be between $150,000 and $300,000 per year. The anticipated annual base pay range is current as of the time this job post was generated. This position is eligible for other forms of compensation and benefits, such as a bonus, health and dental plans and 401(k) contributions, which includes a discretionary profit sharing program. An employee's bonus and related compensation benefits can be a significant portion of total compensation. Actual compensation for successful candidates will be carefully determined based on a number of factors, including their skills, qualifications and experience.

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