Manager-Business Analysis-Business Analyst

EXL Talent Acquisition Team; Gurugram District; On-site; INR 900,000 - 1,400,000; Full time

Job summary

EXL Talent Acquisition Team seeks a Manager-Business Analysis-Business Analyst to lead analytics initiatives in fraud detection and risk profiling. The role focuses on developing and validating ML models, applying advanced analytics, and translating insights for leadership and stakeholders.

Responsibilities include collaboration with fraud strategy and operations teams, performing EDA, and ensuring monitoring of models with KPIs.

Qualifications

• 3-5+ years of experience in analytics preferably in Banking and Financial Services.
• At least 3 years hands-on experience monitoring/validating ML models.
• Solid understanding of banking products, fraud types, and transaction systems.
• Knowledge of statistical techniques (regression, ML models, KS, PSI, CSI, MAPE, Confusion metrics).
• Excellent problem-solving and analytical skills.
• Proficiency in Python and ML libraries.
• Experience with large-scale data processing and distributed computing frameworks.
• Strong communication skills, both written and verbal, with stakeholders.

Responsibilities

• Evaluate and optimize ML models for performance, scalability, and explainability.
• Apply deep learning and advanced analytics for behavior analysis and risk profiling.
• Analyze transaction data to identify patterns, anomalies, and fraud trends.
• Perform exploratory data analysis (EDA) to understand customer behavior and potential fraud vulnerabilities.
• Translate data-driven insights into actionable recommendations for leadership and stakeholders.
• Collaborate with fraud strategy and operations teams to enhance fraud prevention frameworks.
• Validate and monitor predictive models for real-time fraud detection systems.

Skills

Analytics

ML models

Python

Statistical techniques

Fraud types

Communication

Big data

Distributed computing

Tools

ML libraries

Job description

Manager-Business Analysis-Business Analyst

Trending

Job Info

• Job Identification 5686
• Posting Date 03/10/2026, 07:23 AM
• Job Role Business Analysis-Business Analyst
• Experience (In Years) 3-6

Job Description

Develop strategies, manage resources, lead team meetings, and monitor performance metrics.

Responsibilities

• Evaluate and optimize existing ML models for performance, scalability, and explainability.
• Apply deep learning and advanced analytics for behavior analysis and risk profiling.
• Analyze transaction data to identify patterns, anomalies, and fraud trends.
• Perform exploratory data analysis (EDA) to understand customer behavior and potential fraud vulnerabilities.
• Translate data-driven insights into actionable recommendations for leadership and stakeholders.
• Collaborate with fraud strategy and operations teams to enhance fraud prevention frameworks.
• Validate and monitor predictive models for real-time fraud detection systems using valid monitoring metrics/KPI’s.
• Prepare technical documents related to fraud models and model validation. Validate the models using various techniques and KPIs, out of time validation etc.
• Set up monthly/quarterly and annual monitoring for the models using valid monitoring metrics/KPI’s.
• Perform Root Cause Analysis in case of deterioration of model performance/data issues.
• Evaluate and optimize existing ML models for performance, scalability, and explainability.
• Apply deep learning and advanced analytics for behavior analysis and risk profiling as part of
• Analyze transaction data to identify patterns, anomalies, and fraud trends.
• Perform exploratory data analysis (EDA) to understand customer behavior and potential fraud.
• Translate data-driven insights into actionable recommendations for leadership and stakeholders.
• Collaborate with other teams like fraud strategy to enhance fraud prevention frameworks.

Qualifications

• 3-5+ years of experience in analytics preferably in Banking and Financial Services
• A minimum of 3 years of hands-on experience working on monitoring and validation of Machine Learning models to solve analytical use cases.
• Solid understanding of banking products, fraud types (e.g., account takeover, synthetic fraud, identity theft), and transaction systems.
• Knowledge of various statistical techniques used in analytics (regression, ML Models, Monitoring Metrics like KS, PSI, CSI, MAPE, Confusion Metrics etc.)
• Excellent problem-solving and analytical skills, with the ability to work on complex projects and deliver high-quality results.
• Proficiency in programming languages such as Python, and experience with ML related libraries.
• Experience with large-scale data processing and distributed computing frameworks is a plus.
• Strong communication skills, both written and verbal, with the ability to convey complex ideas to diverse stakeholders.