Key Responsibilities
Model Development & Deployment
Develop and maintain credit risk assessment and lending decisions modules
Expertise for handling large financial databases and credit data manipulation
Design and implement credit-risk decisioning model solutions using API-based frameworks (e.g., Flask, FastAPI) or event-driven architecture (e.g., Kafka, Pub/Sub), along with other suitable technologies
Monitor model performance to ensure high accuracy and reliability in credit decisions
Data Analysis & Risk Assessment
Clean and preprocess financial datasets, particularly credit lending and risk data
Conduct advanced statistical analyses to support risk assessment and lending decisions
Required Qualifications
Technical Skills
Proficiency in Python, SQL, and machine learning libraries (TensorFlow, PyTorch, Scikit-Learn)
Experience with cloud platforms (AWS,GCP) for model deployment
Knowledge of statistical and machine learning techniques for risk modeling
Domain Expertise
Understanding of credit lending and risk assessment principles
Experience in financial data analysis within regulatory constraints
Proven track record in developing credit decision engines (optional)
Education & Experience
Bachelor’s degree or higher in Statistics, Computer Science, Mathematics, or related field
Minimum 3 years experience in retail lending or similar role
Additional Requirements
Strong communication skills for presenting complex findings and process flow to management
Experience with data visualization tools (Tableau, Power BI)
Ability to work collaboratively with cross-functional teams
Skills
Functions
Full-time
Company
42 active jobs
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