Quantitative Programmer

DTG Finance & Capital Markets; New York (NY); On-site; USD 100,000 - 130,000; Full time

Job summary

A global investment firm is seeking a skilled Quantitative Engineer to design and build software systems that enhance research and trading operations. The role emphasizes collaboration with researchers and investment teams to ensure robust, production-ready tools. Candidates should demonstrate proficiency in Python and SQL, with exposure to quantitative methods and large datasets being beneficial. Join a lean, technical team focused on automation and efficiency while contributing to key firm initiatives.

Qualifications

• Experience with statistical modeling, time-series analysis, or optimization is beneficial.
• Hands-on developer comfortable working with both technical and non-technical teams.
• Intellectually curious and focused on automation and efficiency.
• Can manage multiple projects effectively in a fast-paced environment.

Responsibilities

• Partner with researchers to implement scalable research and trading workflows.
• Design reusable components for consistency across teams.
• Build and support automated systems for research and trading.
• Lead projects from design through to production and support.

Skills

Quantitative methods exposure

Large dataset handling

Collaboration across teams

Python programming

SQL proficiency

Problem-solving skills

Organizational skills

Detail-oriented

Job description

The firm is a global investment manager employing a diversified set of systematic and discretionary approaches across asset classes and instruments. Investment activity spans liquid and derivative markets and incorporates quantitative, relative value, event-focused, volatility-oriented, macro, and model-driven techniques. The organization is lean, highly technical, and research-focused.

Role Summary

This position sits within a quantitative engineering group that partners closely with researchers and investment teams to build and maintain the software foundations that support research, analytics, and live trading. The role blends engineering rigor with quantitative thinking, emphasizing scalable design, automation, and usability across teams.

Individuals in this role contribute to firm-wide initiatives, working with technologists, researchers, and investment professionals to ensure that tools and systems are robust, reusable, and production-ready. While the role has a defined technical focus, it requires broad interaction across the business.

Key Responsibilities

• Partner with researchers and portfolio teams to architect and implement scalable research and trading workflows
• Design reusable software components that promote consistency and efficiency across teams
• Build, enhance, and support automated systems underpinning research and trading operations
• Extend existing platforms to handle increased scale, complexity, and performance demands
• Own projects end-to-end, from initial design through production rollout and ongoing support
• Improve internal documentation, standards, and operational procedures
• Develop monitoring and alerting solutions based on defined performance and risk metrics
• Lead technical discussions, propose enhancements, and identify opportunities for new tooling or analysis
• Support and contribute to quantitative analysis that feeds into the broader investment process
• Strengthen the firm’s core infrastructure while enabling faster and more reliable research iteration

Desired Qualifications

• Exposure to quantitative methods such as statistical modeling, time-series analysis, or optimization is beneficial
• Strong ability to work with large, complex datasets
• Hands-on developer comfortable collaborating across technical and non-technical teams
• Proficiency in Python and SQL for software development, data analysis, and reporting
• Clear communicator with strong problem-solving and organizational skills
• Self-driven, intellectually curious, and oriented toward automation and efficiency
• Capable of managing multiple initiatives in a fast-moving environment
• Detail-oriented, proactive, and accountable, with a strong sense of ownership
• Able to communicate technical concepts effectively to diverse audiences
• Prior experience in finance or trading environments is helpful but not required
• Familiarity with derivatives markets is a plus but not mandatory