Elevate Your Impact Through Innovation and Learning 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.
Recognized by Great Place to Work in India, Chile, Romania, the US, and the UK in 2022, we offer a dynamic, growth-oriented, and open culture that prioritizes flexible work-life balance, diverse and inclusive teams, and equal opportunities for all.
We are looking for an experienced candidate with a financial programming background to support Investment banking clients in driving their QIS/Index business.
The candidate will be part of a challenging index development project and will be responsible for developing and implementing index strategies on the client platform.
The project requires a prominent level of quantitative skills and deep programming knowledge.
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 banking challenges and improve decision-making with award-winning solutions.
What you will be doing at Evalueserve Work closely with the QIS desks to support in developing and pricing indices across asset classes.
Develop and enhance the index platform for different index methodologies.
Develop technical solutions that ensure efficient automation of back-testing tools and model pricing.
Review index rulebooks and implement index models in Python.
Collaborate with database teams to implement logical and meaningful rules for data checks and controls to achieve the highest level of accuracy and timeliness.
What we're looking for BS/MS in Financial Mathematics, Engineering, Investment Finance, Computer Science, or equivalent work experience.
Advanced level of Python programming language; front-end experience desirable.
Strong quantitative, analytical, and critical thinking skills.
Prominent level in SQL or equivalent; KDB experience desirable.
Strong command of Excel and data manipulation.
Good understanding of Financial Markets; derivatives experience desirable.
Detail and quality-oriented.
Ability to work under pressure.
Strong collaboration skills.
#J-18808-Ljbffr