Quantitative Trading Systems Engineer

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

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.