Senior Analyst
hace 1 semana
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.
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 would solve these banking challenges and improve decision making with award-winning solutions.
What you will be doing 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.
- Bachelor’s degree in a relevant field (e.g., Mathematical Science, Financial Engineering, Statistics, Data Science, Econometrics, or other relevant degree).
- Proven experience (3+ years) within a Credit Risk, Capital Markets, or Market Risk model development or validation team.
- Proficiency in pertinent languages, such as Python, R, SQL, or SAS for data manipulation, analysis, and automation.
- Proficient with MS Office suite.
- Ability to conduct data analysis, derive valuable insights, and support decision-making.
- Good verbal and written English communication skills, with a proven ability to present model results to a non-technical audience.
- Prior experience in customer service roles, showcasing strong communication and problem-solving skills.
- Demonstrated ability to work collaboratively within cross-functional teams.
- Independently motivated, detail-oriented, and strong problem-solving ability.
Want to learn more about our culture and what it’s like to work with us? Write to us at
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