Senior Quant Developer – Python / SQL

MI Softech Inc; New York (NY); Hybrid; USD 180,000 - 240,000; Full time

Job summary

MI Softech Inc seeks a Senior Quant Developer with strong Python programming and SQL skills to support investment banking initiatives in New York, NY. Hybrid role requiring three onsite days weekly and a long-term contract. Face-to-face interview is mandatory.

The ideal candidate brings extensive experience in quantitative development, working with financial data, and collaboration with research, trading, and risk teams.

Qualifications

• 15+ years of overall professional experience.
• Advanced Python programming skills.
• Strong SQL skills and experience with complex financial datasets.
• Investment banking or capital markets domain experience.
• Experience with quantitative models, financial analytics, or risk-related applications.
• Strong problem-solving, analytical, and communication skills.

Responsibilities

• Develop, enhance, and maintain quantitative applications and financial models using Python.
• Write complex SQL queries for financial data processing, analysis, and validation.
• Collaborate with quantitative analysts, traders, risk managers, and technology teams.
• Support quantitative analytics, financial calculations, and model implementation.
• Optimize application performance, data processing, and computational workflows.
• Ensure accuracy, reliability, and consistency of financial data and quantitative outputs.
• Troubleshoot complex technical issues and support production applications.
• Participate in technical design, code reviews, testing, and implementation activities.

Skills

Python programming

SQL

Quantitative analytics

Financial data handling

Problem solving

Communication skills

Job description

Job Title: Senior Quant Developer - Python / SQL

Location: New York, NY 10020 (Hybrid - 3 days onsite per week)

Duration: Long-Term Contract

Experience: 15+ Years

Domain: Investment Banking

Interview: Face-to-face interview mandatory

Engagement Type: W2 or 1099 only

C2C: Not accepted

Job Description

We are looking for an experienced Quant Developer with a strong background in quantitative development, Python programming, and SQL to support investment banking initiatives. The ideal candidate will have extensive experience developing and supporting quantitative applications, working with financial data, and collaborating with quantitative research, trading, and risk teams.

Key Responsibilities

• Develop, enhance, and maintain quantitative applications and financial models using Python.
• Write complex SQL queries for financial data processing, analysis, and validation.
• Collaborate with quantitative analysts, traders, risk managers, and technology teams.
• Support quantitative analytics, financial calculations, and model implementation.
• Optimize application performance, data processing, and computational workflows.
• Ensure accuracy, reliability, and consistency of financial data and quantitative outputs.
• Troubleshoot complex technical issues and support production applications.
• Participate in technical design, code reviews, testing, and implementation activities.

Required Skills

• 15+ years of overall professional experience.
• Advanced Python programming skills.
• Strong SQL skills and experience working with complex financial datasets.
• Investment banking or capital markets domain experience.
• Experience working with quantitative models, financial analytics, or risk-related applications.
• Strong problem-solving, analytical, and communication skills.

Work Arrangement & Interview Requirements

• Must be available to work onsite in New York City 3 days per week.
• Face-to-face interview is mandatory.
• W2 or 1099 engagement only; C2C is not accepted.