Senior Analyst - Financial Predictive Modeler

at  Evalueserve

ELEVATE YOUR IMPACT THROUGH INNOVATION AND LEARNING

Evalueserve is a leading global company that develops innovative and sustainable solutions for a wide range of clients, including more than 30% of the Fortune 500 companies. With a presence in more than 45 countries across five continents, we excel in leveraging state-of-the-art technology, domain-specific AI solutions, and deep subject matter expertise to elevate our clients’ strategic decision-making and business impact. Our clients include Amazon, Deutsche Bank, Johnson & Johnson, McDonald’s, Microsoft, Morgan Stanley, Nestlé, Novo Nordisk, and Procter & Gamble.
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, we offer a dynamic, growth-oriented, and open culture that prioritizes flexible work-life balance, diverse and inclusive teams, and equal opportunities for all.
Watch this video to understand what it means to Elevate Your Impact at Evalueserve!

• Oversee and personally participate in the development, coding, implementation, maintenance, and validation of various Credit Risk, Capital Markets, and Market Risk models, adhering to academic and industry best practices.
• Manage the overall ongoing maintenance and quarterly monitoring of all active models, identifying opportunities for future improvements.
• Perform ad hoc analyses of business situations, data issues, and problems, as well as research and test new technologies for risk mitigation.
• Partner with IT to create/improve and maintain structured data, perform data maintenance and management on a daily basis, and consult on best practices for data retention.
• Provide and present the results of analyses in the form of graphs, charts, and tables, in a high-quality fashion and acceptable format, for management, peer, and audit reviews.
• Create and maintain comprehensive documentation of end-to-end processes, highlighting key data touchpoints and critical milestones.
• Utilize programming skills in Python, R, SQL, or SAS for data and model management.
• Communicate findings and insights effectively through written and verbal English skills.
• Ensure the security and confidentiality of sensitive financial information.