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Quantitative Developer Remote Jobs in Coatesville, PA

Data Scientist

Conshohocken, PA · On-site +1

$175K/yr

Data Scientist (Data Science + Data Engineering) Location: Remote (Preference for Northeast/Mid ... or a related quantitative field. * Proven experience developing predictive models or machine ...

Lead Data Scientist

Chadds Ford, PA · On-site +1

$144K - $250K/yr

... Engineering, Economics, or other quantitative fields * Advanced machine learning modeling and/or ... Normal office environment. (Remote or Hybrid), 3 to 4 days per month are required in office if ...

Quantitative Developer Remote information

See Coatesville, PA salary details

$96K

$166.3K

$254.3K

How much do quantitative developer remote jobs pay per year?

As of Aug 29, 2026, the average yearly pay for quantitative developer remote in Coatesville, PA is $166,348.00, according to ZipRecruiter salary data. Most workers in this role earn between $131,800.00 and $195,000.00 per year, depending on experience, location, and employer.

What cities near Coatesville, PA are hiring for Quantitative Developer Remote jobs?

Cities near Coatesville, PA with the most Quantitative Developer Remote job openings:

Quantitative Research Developer - Remote

Stevens Capital Management LP

Radnor, PA • On-site, Remote

$150K - $300K/yr

Full-time

Medical, Dental, Retirement

Re-posted yesterday


Job description

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.