Quantitative Developer

Benefits

Parental leave

Not verified

Non-birth-parent leave

Not verified

Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

Not verified

Relocation assistance

Not verified

Childcare support

Not verified

Learning budget

Not verified

Verification

Not verified

Salary

Not verified not verified - source not recorded; timestamp not recorded

401(k) match

Not verified

Was this benefit information wrong? Tell us.

Schedule

Shift type

Not verified

Weekend work

Not verified

Application

Cover letter

Not verified

Assessment

Not verified

Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Quantitative Developer New York, United States IMC is looking for a Quantitative Developer to own the full path from research to production. This role blends research and engineering, with tight feedback loops from ideation to live trading. You will build the systems that turn quantitative insights into measurable edge, with direct visibility into how your work creates impact. Your Core Responsibilities - Build and maintain systems that span research and production, enabling rapid iteration from idea to production - Design high-fidelity simulation and backtesting infrastructure that models latency, microstructure, and real-world constraints - Define, compute, and curate features across instruments, regimes, and time horizons - Own feature and signal pipelines, ensuring clean, consistent delivery from research to execution - Contribute to strategy optimization, balancing expected performance with real-world constraints - Debug issues end-to-end across research and execution Your Skills and Experience - 3-7 years of experience in quantitative software development, preferably at a trading firm or systematic fund - Strong production experience in Python and C++, including data analysis workflows (pandas, polars, or similar) - Strong grounding in probability, statistics, and time series analysis; familiarity with backtesting and simulation frameworks - Solid understanding of ML concepts as applied to systematic strategies, from research through production - Experience with low-latency systems is valuable - Ability to work fluidly across research and engineering teams The Base Salary range for the role is included below. Base salary is only one component of total compensation; all full-time, permanent positions are eligible for a discretionary

Read the full description at job-boards.eu.greenhouse.io. FewerJobs shows a source-linked preview and links to the original posting.