Credit Risk Modeler position within Risk and Quant Solutions (RQS) 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 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 key 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.
What we’re looking for
Bachelor’s degree in a relevant field (e.g., Mathematical Science, Financial Engineering, Statistics, Data Science, Econometrics, or other relevant degree).Proven experience (2+ years) within a Credit Risk, model development or validation team.Experience building PD (Probability of Default), LGD (Loss Given Default), and EAD (Exposure at Default) models and familiarity with Basel III, EBA Guidelines or IFRS 9 standards.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.Seniority level
Not ApplicableEmployment type
Full-timeJob function
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