Data Scientist

Overview

We are seeking an 5 years experienced Data Scientist with deep expertise in banking transactions, credit risk modeling, and financial data analytics. The ideal candidate will develop and implement advanced machine learning models to analyze transactional data, detect fraud, and enhance credit scoring mechanisms.

Key Responsibilities:

• Banking Transaction Analysis & Modeling
• Develop machine learning models to analyze banking transactions, identify spending patterns, and assess financial behavior.
• Build alternative credit scoring models using transactional data and behavioral analytics.
• Detect fraudulent activities and financial anomalies using AI-driven techniques.
• Data Engineering & Infrastructure
• Work with structured and unstructured financial data from banking APIs, Open Banking frameworks, and credit bureaus.
• Design and optimize data pipelines for real-time analytics and credit decisioning.
• Implement data normalization and classification techniques for unstructured banking statements.
• Risk Assessment & Predictive Analytics
• Develop risk models that align with regulatory frameworks (e.g., AML, KYC, Basel II/III).
• Apply AI/ML-driven scoring methods to assess the creditworthiness of individuals and businesses.
• Leverage alternative data sources (e.g., mobile money transactions, digital footprints) for enhanced financial profiling.
• Regulatory Compliance & Explainable AI
• Ensure models meet regulatory standards and industry best practices for financial data usage.
• Develop explainable AI models for transparent credit decisioning.
• Collaborate with compliance and product teams to enhance data-driven lending solutions.

Required Qualifications:

• 5+ years of experience in data science, specializing in banking transactions, credit scoring, or financial modeling.
• Strong expertise in Python, R, SQL, and machine learning frameworks (e.g., TensorFlow, Scikit-Learn, XGBoost).
• Hands-on experience with big data tools (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Azure, GCP).
• Deep understanding of banking transactions, payment processing, and financial data structures.
• Experience working with Open Banking APIs, PSD2 compliance, and financial data aggregators.
• Strong knowledge of risk modeling, fraud detection, and credit analysis methodologies.

Preferred Skills:

• Experience with alternative credit scoring models using behavioral data.
• Knowledge of graph analytics for fraud detection and AML compliance.
• Experience integrating AI-driven financial solutions into banking ecosystems.

This role requires a proactive individual with a strong analytical mindset, capable of translating complex data into actionable insights to drive our financial products and services.

Job Type: Full-time

Pay: ₹40,000.00 - ₹65,000.00 per month

Benefits:

• Work from home

Schedule:

• Day shift

Work Location: Remote

Application Deadline: 15/03/2025
Expected Start Date: 24/03/2025