Assistant Manager

Latent View Analytics Limited; Chennai District; On-site; INR 3,000,000 - 6,000,000; Full time

Job summary

Latent View Analytics Limited in India is seeking a Risk Analytics Lead (Assistant Manager, L3) to drive end-to-end risk analytics for digital financial products.

The role combines hands-on data work with strategic stakeholder collaboration across Risk, Product, Operations, and Compliance, mentoring juniors while shaping reporting frameworks.

8+ years in financial services, fintech, or banking, with strong SQL, Power BI and risk knowledge, is required.

Qualifications

• 8+ years of experience in risk analytics within financial services, fintech or banking.
• Strong foundation in risk concepts and governance.

Responsibilities

• Execute end-to-end risk analytics, monitoring portfolio health and identifying risk drivers to optimize performance.
• Perform complex data analysis with SQL (joins, CTEs, window functions) to uncover trends and root causes.
• Design and maintain Power BI dashboards and automated reports for tracking KPIs and risk metrics.
• Deep-dive into transaction risk, onboarding, underwriting performance, fraud trends, and rule monitoring.
• Translate ambiguous business problems into analytical solutions and present data-backed recommendations to senior stakeholders.
• Mentor junior team members and ensure data accuracy and governance compliance.

Skills

SQL

Excel

Power BI

Risk domain

Analytical thinking

Communication

Stakeholder Management

Education

Bachelor’s degree in quantitative field

Job description

Risk Analytics Lead (Assistant Manager, L3) is a hands-on, strategic role requiring 8+ years of experience in financial services, fintech, or banking. The position focuses on leveraging advanced data analytics to support risk monitoring, strategy execution, and decision-making for digital financial products. The Lead will bridge the gap between complex datasets and actionable business insights by designing scalable reporting frameworks, mentoring junior team members, and collaborating with cross-functional partners in Risk, Product, Operations, and Compliance. Qualified candidates must hold a degree in a quantitative field (e.g., Statistics, Mathematics, Economics, Data Science, or Engineering) and possess a strong command of risk concepts, independent execution, and stakeholder management.

Responsibilities

Execute end-to-end risk analytics, including monitoring portfolio health, evaluating risk frameworks, and identifying drivers behind risk outcomes to optimize performance.

Perform complex data analysis using advanced SQL (joins, CTEs, window functions) to uncover trends, anomalies, and root causes.

Design and maintain Power BI dashboards and automated reports for tracking KPIs, risk metrics, and performance indicators.

Conduct deep dives into transaction risk, customer onboarding, underwriting performance, fraud trends, and rule monitoring.

Translate ambiguous business problems into structured analytical solutions and present clear, data-backed recommendations to senior stakeholders.

Mentor junior team members and ensure data accuracy and compliance with governance standards.

Required skills

SQL, Excel, Power BI, Risk Domain,Strong Analytical thinking, Communication, Stakeholder Management.