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Quantitative Analyst

Invesco

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225 open quantitative roles across 40 companies are on ApplySarthi right now, most of them in Mumbai (6), Delhi NCR (5), Hyderabad (2).

What quantitative roles keep asking for: Python (60%), Machine learning (33%), C++ (25%), SQL (24%), R (17%) — counted across their open postings here.

Data modelling jobs · Python jobs · SQL jobs

Invesco has 234 open roles listed here.

Counted across 14 company job boards, updated as roles open and close.

Preparing for this interview

Interviews for quantitative roles keep coming back to Python, Machine learning, C++, SQL. Practise those questions before you sit with Invesco.

Questions you are likely to be asked

  1. Why do you want to join Invesco?
  2. What is your experience with Data modelling? Tell me one thing you learned the hard way.
  3. Tell me about an analysis that changed a decision. What did you find?
  4. How do you check that your numbers are right before you share them?
  5. Walk me through a dashboard or report you built. Who used it, and for what?

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About Invesco As one of the world’s leading independent global investment firms, Invesco is dedicated to rethinking possibilities for our clients. By delivering the combined power of our distinctive investment management capabilities, we provide a wide range of investment strategies and vehicles to our clients around the world. If you're looking for challenging work, intelligent colleagues, and exposure across a global footprint, come explore your potential at Invesco. What's in it for you? As an organization we support personal needs, diverse backgrounds and provide internal networks, as well as opportunities to get involved in the community and in the world. Our benefit policy includes but not limited to: Competitive Compensation Flexible, Hybrid Work 30 days’ Annual Leave + Public Holidays Life Insurance Retirement Planning Group Personal Accident Insurance Medical Insurance for Employee and Family Annual Health Check-up 26 weeks Maternity Leave Paternal Leave Adoption Leave Near site Childcare Facility Employee Assistance Program Study Support Employee Stock Purchase Plan ESG Commitments and Goals Business Resource Groups Career Development Programs Mentoring Programs Invesco Cares Job Description Who we are As one of the world’s leading independent global investment firms, Invesco is dedicated to rethinking possibilities for our clients. By delivering the combined power of our distinctive investment management capabilities, we provide a wide range of investment strategies and vehicles to our clients around the world. If you're looking for challenging work, intelligent colleagues, and exposure across a global footprint, come explore your potential at Invesco. Your Team Based in Hyderabad, you will be part of Invesco Quantitative Strategies (IQS), the systematic equities team within Invesco Solutions & Custom Strategies. IQS brings together investment professionals across the world managing over $50 billion on the strength of more than 40 years of factor-investing heritage. Organised across Research, Portfolio Management and Investment Technology, the team runs proprietary multi-factor return and risk models spanning multi-factor core, ESG and market-neutral strategies. Your Role Design, develop, and test software solutions to support product and platform evolution. Support and maintain daily alpha and risk forecasts for single and multi-asset class solutions. Collaborate with cross-functional teams to ensure seamless integration of research, portfolio management, and IT initiatives. Design and automate production workflows and controls to improve accuracy, efficiency, and scalability. Own daily production processes, including exception investigation, results validation, and timely delivery. Analyse portfolio, transaction, benchmark, performance, and tax-lot data to identify trends and explain results. Partner with investment, product, and technology teams to translate business requirements into production-ready analytical solutions. Apply disciplined testing, documentation, code-review, and change-management practices. The Experience You Bring 4+ years of experience in investment management, quantitative analytics, financial services, or a comparable data-intensive environment. Strong proficiency in Python and SQL, with experience in relational data modelling and production data pipelines. Experience implementing data-quality controls, exception monitoring, and automated workflows. Proven ability to investigate complex data issues, communicate findings clearly, and deliver accurately within time-sensitive deadlines. Knowledge on Quantitative strategies of equities is preferred. Academic requirements Bachelor’s degree or equivalent practical experience in Computer Science, Mathematics, Statistics, Engineering, Finance, Economics, or another quantitative discipline. Full Time / Part Time Full time Worker Type Employee Job Exempt (Yes / No) Yes Workplace Model At Invesco, our workplace model supports our culture and meets the needs of our clients while providing flexibility our employees value. As a full-time employee, compliance with the workplace policy means working with your direct manager to create a schedule where you will work in your designated office at least four days a week, with one day working outside an Invesco office. Grow Your Career with Us Build the skills and experiences that help you thrive in a constantly evolving business environment. Our AI-enabled learning platform provides personalized learning opportunities based on your role and interests, while development programs and leadership training help support continuous career growth. To know more about us: About Invesco: https://www.invesco.com/corporate/en/home.html About our Culture: https://www.invesco.com/corporate/en/about-us/our-culture.html About our D&I policy: https://www.invesco.com/corporate/en/our-commitments/diversity-and-inclusion.html About our CR program: https://www.invesco.com/corporate/en/our-commitments/corporate-responsibility.html Apply for the role @ Invesco Careers : https://careers.invesco.com/india/

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Listed on workday · posted 2026-10-16. ApplySarthi collects openings and links to application pages; the role is advertised by Invesco, not by us.