Index Quantification Specialist

About Evalueserve

Evalueserve is a global leader in delivering innovative and sustainable solutions to a diverse range of clients, including over 30% of Fortune 500 companies.

With presence in more than 45 countries across five continents, we excel in leveraging state-of-the-art technology, artificial intelligence, and unparalleled subject matter expertise to elevate our clients' business impact and strategic decision-making.

We have 4,500+ talented professionals operating across 45 countries, including India, China, Chile, Romania, the US, and Canada. Our global network also extends to emerging markets such as Colombia, the Middle East, and the rest of Asia-Pacific.

Our Culture

Recognized by Great Place to Work in India, Chile, Romania, the US, and the UK, we offer a dynamic, growth-oriented, and open culture that prioritizes flexible work-life balance, diverse and inclusive teams, and equal opportunities for all.

About Risk and Quant Solutions (RQS)

Risk and Quant is one of the fastest growing practices at Evalueserve. As an RQS team member, you will address some of the world's largest financial needs with technology-proven solutions. You will solve these banking challenges and improve decision-making with award-winning solutions.

What You Will Be Doing

• Work directly with our clients, large multinational banks, as an Index Quantification Specialist.

• Collaborate with the QIS desks to support in developing and calculating indices across asset classes with a strong focus on options.

• Onboard new indices and maintain them in a Python environment, based on strategies rulebooks shared by the client.

• Work on automated reports and marketing investment strategies when relevant.

• Develop technical solutions that ensure efficient automation of back-testing tools and model pricing.

• Achieve the highest level of accuracy and timelines is critical, as support will be provided during EST time zone with specific timing during the day to verify and publish indices and its components, based on data from the market.