This role is for one of the Weekday's clients
Min Experience: 6 years
JobType: full time
This role is responsible for leading a team of 6–8 data analysts to deliver high-quality descriptive and diagnostic analytics across multiple product lines and business functions. The position involves generating timely insights, supporting analytical decision-making, and driving automation for recurring reporting and stakeholder requirements. It also plays a key part in strengthening risk models and enhancing analytical capabilities across the organization.
Key Responsibilities
Lead a team of data analysts to produce accurate MIS reports, variance analyses, and actionable insights within defined timelines.
Conduct descriptive and diagnostic analytics across product portfolios and business verticals including acquisitions, cross-sell, customer service, and collections.
Support stakeholders with data extraction, data manipulation, and operational analytics needs.
Identify reporting gaps and recurring analytical requirements to automate dashboards in Tableau.
Replicate and scale insights and reporting processes across different products and functions.




Collaborate with business teams and modelling teams to provide analytical inputs that sharpen and improve ML model performance and usage.
Drive the design, development, and deployment of ML/DL models supporting underwriting, portfolio management, and risk assessment.
Monitor and enhance credit risk frameworks including Expected Credit Loss (ECL), vintage analysis, delinquency analysis, and other risk measurement methodologies.
Required Skills & Qualifications
Experience:
Minimum 8 years of experience in descriptive and diagnostic analytics within NBFC / BFSI or FinTech.
Education:
M.Tech / B.E / B.Tech / M.Sc in Computer Science, Statistics, Mathematics, or related field.
Technical Expertise:
Solid hands-on experience in SQL and Python.
Proficiency in Tableau and Excel for dashboards, automation, and business insights.
Experience with ML/DL model development and deployment.
Risk Analytics Expertise:
Credit risk modelling, portfolio monitoring, operational risk, and Expected Credit Loss (ECL).
Time series forecasting, vintage and stress testing, simulations, and design of experiments.
Delinquency analysis and On-Us / Off-Us analysis using credit bureau data.
Industry Exposure
BFSI (Banking, Financial Services & Insurance)
FinTech

📌 Data Scientist Risk Analyst Chennai
🏢 Weekday AI
📍 Chennai