Quantitative Research Developer - Remote
- Pay
- $150,000 – $300,000 per year
- Location
- Radnor, PA (Remote) · Hybrid
- Job type
- Full-time
- Level
- Mid-level
- Listed
- 30 days ago
Skills & highlights for this role
- C++
- Python
- time series analysis
- tick data
- trading systems
Stated benefits & perks
- Health
- Dental
- 401k match
- Bonus
About the role
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.
Pay and benefits
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.
Equal opportunity and legal notices
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.
From Stevens Capital Management's careers page, first listed on Rolev.ai on October 10, 2026. Rolev.ai is not the employer.
How Rolev.ai helps with this application
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Common questions
What is the salary for the Quantitative Research Developer - Remote role at Stevens Capital Management?
The Quantitative Research Developer - Remote posting at Stevens Capital Management states compensation of $150,000 – $300,000 per year. It is listed as a full-time position. Final pay may depend on location, experience, and interview evaluation on Stevens Capital Management's official career site.
Where is the Quantitative Research Developer - Remote job at Stevens Capital Management located?
Yes, this Quantitative Research Developer - Remote opening at Stevens Capital Management is listed as Radnor, PA (Remote) (Hybrid). Always check Stevens Capital Management's application page for specific state eligibility or relocation policies.
What qualifications are required for Quantitative Research Developer - Remote at Stevens Capital Management?
For the Quantitative Research Developer - Remote role, Stevens Capital Management highlights experience with C++, Python, time series analysis, tick data, trading systems. Rolev.ai can score your existing resume against these requirements and show any skill gaps before you apply.
How do I apply for the Quantitative Research Developer - Remote position at Stevens Capital Management?
This listing links directly to Stevens Capital Management's Greenhouse application page. You can apply directly on Stevens Capital Management's site, or use Rolev.ai to check your resume fit, generate a zero-hallucination tailored resume and cover letter for this posting, and autofill the Greenhouse application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.