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Home / Jobs / BlackRock

Index Equity Technologist (Python), BlackRock Global Markets, Associate

BlackRock

Mumbai, IndiaPosted 25 days ago
BlackRock logo

Skill Required

PythonEngineeringR ProgramminganalyticalObservabilityData StructuresanalyticsdesignCI/CDAgileJavaUnityandCICDAIFulltime

Key highlights

  • 3+ years of relevant experience required
  • Hybrid work model: 4 days in office, 1 day remote
  • Comprehensive healthcare and retirement benefits
  • Flexible Time Off (FTO)

Role overview

The Index Equity Technology team within BlackRock’s Index Equity (IE) group seeks a Quantitative Developer to enhance business efficiency and scalability. This role involves collaborating with Portfolio Managers, the Index Equity team, and BlackRock’s technology teams to build and maintain a best-in-class index investment engine. The candidate will design, develop, and improve portfolio engineering algorithms supporting index portfolio construction, optimization, trading, and risk management, ensuring robust, scalable, and extensible solutions as the business grows.

Responsibilities

  • Implement an innovative platform, primarily in Python, for the development, deployment, maintenance and monitoring of portfolio engineering algorithms
  • Maintain the Algo ecosystem with Python engineering principles to keep it aligned with changes
  • Apply quantitative analysis, statistical techniques and large-scale data processing to improve portfolio management workflows, investment outcomes and operational efficiency
  • Identify, and implement, opportunities for improvement of operational processes using data analytics
  • Understand the BlackRock technology platform and integrate portfolio engineering algorithms into it
  • Work with BlackRock technology teams that support IE, to ensure that they understand our requirements and build well-suited tools

Requirements

  • 3+ years of relevant experience in Python programming/Algo engineering/Quantitative Development
  • Bachelor’s or Master’s Degree or equivalent experience in computer science/engineering/quantitative field with strong computing skills
  • Programming skills in Python (preferred) /Java with strong object-oriented skills
  • Experience with SDLC including agile development methodologies, writing tests before code, version control and CI/CD tools
  • Knowledge of Scientific Python stack, experience in dealing with large data sets and statistical processing
  • Experience in applying mathematics and statistical techniques to tackle complex problems
  • Excellent analytical, problem solving skills, attention to detail and an emphasis on precision
  • Great teammate with high level of self-motivation and inquisitiveness
  • Effective communication skills
  • High degree of professional integrity, discretion and judgement

Nice to have

  • Experience working in investment management, trading or finance related fields
  • Knowledge of equity risk models
  • Enthusiastic and ready to learn and use cutting edge tech like AI

Benefits

  • Strong retirement plan
  • Tuition reimbursement
  • Comprehensive healthcare
  • Support for working parents
  • Flexible Time Off (FTO)

Additional details

  • Business Unit Overview: BlackRock Global Markets and Index Investments (BGM) brings together BlackRock’s Index Investments, Cash Management, Global Trading, ETF Markets, Securities Lending, and Financing & Financial Resource Management businesses. Together, we provide clients with superior market access and index investment outcomes through world class talent, technology at the heart of our processes, and a focus on transforming markets.
  • About our team: BlackRock’s Index Equity (IE) team handles more than $7.5 trillion in global index equity assets across Global Developed Markets, Emerging Markets, Commodities and REITs. The group offers index equity investors one of the industry's broadest arrays of investment choices. Our clients include corporate pension plans, public pension plans, central banks, sovereign wealth funds and other institutional investors.
  • Our hybrid work model: BlackRock’s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities.
  • Guidance on AI use for candidates: At BlackRock, AI has long been part of how we work – enhancing decision-making, improving operations, and helping us deliver better outcomes for clients. We encourage candidates to use AI thoughtfully to learn, prepare, and work more effectively; but during our interview process, we want to focus on getting to know you through your own experiences, thinking, and judgment. To support you, we’ve provided guidance on when and how to use AI during our hiring process so you can approach each step with confidence and showcase your best self.
  • About BlackRock: At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being. Our clients, and the people they serve, are saving for retirement, paying for their children’s educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress. This mission would not be possible without our smartest investment – the one we make in our employees. It’s why we’re dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive.
  • BlackRock is proud to be an Equal Opportunity Employer. We evaluate qualified applicants without regard to age, disability, family status, gender identity, race, religion, sex, sexual orientation and other protected attributes at law.

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LocationMumbai, India
TypeFulltime
Posted8/13/2026
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