– Python Quant Developer (Legacy QIS Development)Position

Python Quant Developer (Legacy QIS Development)

Experience

5–8 Years

Employment Type

Contract (1 Year)

Work Mode

Remote

Domain

Investment Banking / Capital Markets

Preferred Background

Candidates with experience in Investment Banking, Capital Markets, Quantitative Development, Derivatives, or Structured Products are highly preferred.

Role Overview

We are seeking a highly skilled Python Quant Developer to support the migration of a legacy Quantitative Investment Strategies (QIS) platform into a modern, strategic architecture. This is a hands-on technical role focused on quantitative development, platform modernization, legacy migration, and production delivery rather than quantitative research.

The ideal candidate will possess strong Python development expertise, excellent quantitative aptitude, and experience building or supporting pricing, risk, or quantitative analytics platforms within investment banking or capital markets.

Key Responsibilities

Reverse engineer and analyze legacy quantitative models, pricing logic, and analytical calculations.

Migrate pricing engines, index calculation logic, and quantitative libraries to a modern strategic platform.

Support the consolidation of multiple QIS capabilities into a unified architecture.

Perform reconciliation, validation, regression testing, and production verification throughout the migration lifecycle.

Collaborate closely with Quantitative Analysts, Traders, Technology teams, and Business stakeholders.

Develop scalable, high-performance Python applications and APIs.

Enhance and maintain production-grade quantitative software.

Troubleshoot complex technical issues and optimize system performance.

Ensure accuracy, reliability, and consistency across migrated quantitative models.

Required Skills & Experience

5–8 years of experience in Investment Banking or Capital Markets Technology.

Expert-level proficiency in Python development.

Solid understanding of Derivatives, Structured Products, or Financial Markets.





Experience developing or maintaining

Pricing Engines

Risk Engines

Quantitative Libraries

Financial Analytics Platforms

Experience working on legacy platform modernization or migration projects.

Strong numerical and quantitative problem-solving skills.

Experience with

APIs

Distributed Systems

Production Software Development

Hands-on expertise in:

Reconciliation

Validation

Regression Testing

Ability to understand and interpret complex legacy codebases.

Strong communication and stakeholder collaboration skills.

Preferred Skills

Experience with QIS (Quantitative Investment Strategies) platforms.

Exposure to Index Calculation Platforms.

Knowledge of Commodities Analytics.

Familiarity with quantitative financial models and analytical frameworks.

Desired Candidate Profile The ideal candidate should demonstrate most of the following:

5–8 years of Investment Banking or Capital Markets technology experience.

Strong Python programming expertise.

Experience with Derivatives or Structured Products.

Built or maintained Pricing, Risk, or Quantitative Analytics platforms.

Worked on enterprise platform modernization or legacy migration initiatives.

Excellent quantitative reasoning and numerical aptitude.

Experience with APIs, distributed architectures, and enterprise-grade software.

Strong testing, validation, and reconciliation experience.

Comfortable collaborating with Quants, Traders, and Engineering teams.

Execution-focused with excellent analytical and problem-solving skills.

Preferred Companies

Candidates with relevant experience from organizations such as Goldman Sachs, JPMorgan Chase, Morgan Stanley, Barclays, Deutsche Bank, UBS, Bloomberg, MSCI, FactSet, LSEG, WorldQuant, Tower Research Capital, Quadeye, Graviton Research Capital, or Murex will be highly preferred.

Engagement Details

Position: Python Quant Developer (Legacy QIS Development)

Experience: 5–8 Years

Work Mode: Remote

Contract Duration: 1 Year

Domain: Investment Banking / Capital Markets

Priority: High-quality profiles with strong Python, Quant Development, Derivatives, and Pricing/Risk platform experience.

📌 Python Quant Developer (Legacy QIS Development) 5+ Years (India)
🏢 MindBrain
📍 India