Quantitative Developer

ittihad medical centre; New York (NY); On-site; USD 200,000 - 225,000; Full time

Benefits offered by this job

Discretionary bonuses

Paid leave

Insurance benefits

Job summary

ittihad medical centre is searching for a Quantitative Developer to take charge of projects from research to production. This role blends engineering with research, requiring strong production experience in Python and C++.

The ideal candidate will have 3-7 years in quantitative software development, defining and curating features while debugging end-to-end systems. Competitive compensation includes a base salary of $200,000 to $225,000 USD and benefits.

Qualifications

• 3-7 years of quantitative software development experience at a trading firm.
• Strong expertise in Python and C++.
• Proficiency in data analysis workflows like pandas or polars.
• Solid understanding of probability, statistics, and time series analysis.
• Experience with backtesting and simulation frameworks.

Responsibilities

• Build and maintain systems enabling rapid iteration from ideas to production.
• Design high-fidelity simulation and backtesting infrastructure.
• Define, compute, and curate features across instruments.
• Own feature pipelines ensuring delivery from research to execution.
• Contribute to strategy optimization balancing performance with constraints.
• Debug issues across research and execution.

Skills

Quantitative software development

Python

C++

Data analysis workflows

Probability

Statistics

Time series analysis

Machine learning concepts

Low-latency systems

Collaboration with engineering teams

Job description

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

Salary and Compensation

Base Salary range for the role is: $200,000 — $225,000 USD. Base salary is only one component of total compensation; all full‑time, permanent positions are eligible for a discretionary bonus and benefits, including paid leave and insurance. Please visit Benefits - US | IMC Trading for more comprehensive information.

About Us

IMC is a global trading firm powered by a cutting‑edge research environment and a world‑class technology backbone. Since 1989, we’ve been a stabilizing force in financial markets, providing essential liquidity upon which market participants depend. Across our offices in the US, Europe, Asia Pacific, and India, our talented quant researchers, engineers, traders, and business operations professionals are united by our uniquely collaborative, high‑performance culture, and our commitment to giving back. From entering dynamic new markets to embracing disruptive technologies, and from developing an innovative research environment to diversifying our trading strategies, we dare to continuously innovate and collaborate to succeed.