Our client is a multinational IT consulting company, with presence in more than 45 countries across five continents. They are currently seeking a Financial Predictive Modeler to join their team.
Mission:
The ideal candidate will have a strong background in data analytics, advancedprogramming, and process documentation. As a Financial Predictive Modeler, you will play akey role in developing, validating, and reviewing models for both Credit and Market Risk,ensuring they adhere to academic and industry best practices.

Main responsibilities/functions:

• Oversee and personally participate in the development, coding, implementation,maintenance, and validation of various Credit Risk, Capital Markets, and Market Riskmodels, 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 asresearch and test new technologies for risk mitigation.
• Partner with IT to create/improve and maintain structured data, perform datamaintenance and management on a daily basis, and consult on best practices for dataretention.
• Provide and present the results of analyses in the form of graphs, charts, and tables, in ahigh-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.

Requirements:

• Bachelors 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 modeldevelopment 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.

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• Oversee and personally participate in the development, coding, implementation,maintenance, and validation of various Credit Risk, Capital Markets, and Market Riskmodels, 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 asresearch and test new technologies for risk mitigation.
• Partner with IT to create/improve and maintain structured data, perform datamaintenance and management on a daily basis, and consult on best practices for dataretention.
• Provide and present the results of analyses in the form of graphs, charts, and tables, in ahigh-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