A financial services firm in Mumbai is seeking candidates to build and deploy machine learning models for credit risk and fraud detection. The role involves analyzing large datasets, collaborating with various teams, and presenting insights to senior stakeholders. Candidates should have a graduate degree and 5 to 8 years of experience in relevant fields. This position offers significant responsibility in improving data-driven decision-making and ensures compliance with regulatory standards.
Qualifications
A graduate degree is required.
5 to 8 years of experience in relevant fields is necessary.
Responsibilities
Build and deploy machine learning models for credit risk and fraud detection.
Analyze large datasets for actionable business insights.
Collaborate with teams to solve data-driven problems.
Education
Graduate
Job description
Job Description
Key Responsibilities:
Build and deploy machine learning models for credit risk, fraud detection, and customer analytics
Analyze large datasets to generate actionable business insights
Develop scorecards, risk models, and predictive models for lending decisions
Work closely with business, risk, and product teams to solve data-driven problems
Design and implement data pipelines and model deployment frameworks
Improve underwriting, collections, and customer acquisition strategies using data
Monitor model performance and ensure continuous improvement
Ensure compliance with regulatory and data governance standards
Collaborate with engineering teams for system integration and scalability
Present insights and recommendations to senior stakeholders
Short Info
Posted: 4 day(s) ago
Qualifications: Graduate
Experience: 5 Years - 0 Months to 8 Years - 0 Months