1984915-Lead Assistant Manager

EXL; Gurugram District; On-site; INR 1,800,000 - 3,200,000; Full time

Benefits offered by this job

High-impact projects

Collaborative culture

Clear growth path

Competitive compensation

Job summary

EXL is seeking a Senior Analytics Consultant – Banking with 5+ years in credit risk, fraud detection, or marketing analytics to lead client engagements in banking. You will design and implement advanced models using Python, R, or SAS and translate insights into strategic recommendations.

This role requires strong communication for client-facing work, collaboration with stakeholders, and adherence to Basel II/III and AML regulatory standards. Gurgaon/Bangalore offices.

Qualifications

• Bachelor’s or Master’s degree in Statistics, Economics, Mathematics, Computer Science, or related quantitative discipline.
• 5+ years of hands-on banking analytics experience in credit risk, fraud detection, or marketing.
• Proficiency in SQL and at least one analytical language (Python, R, or SAS).
• Strong statistical modeling and machine learning knowledge.
• Experience with large datasets, data wrangling, feature engineering, and validation.
• Excellent client-facing communication and presentation skills.
• Solid understanding of banking regulatory environment.

Responsibilities

• Lead analytics projects in banking with a focus on credit risk, fraud analytics, or marketing analytics.
• Collaborate with clients to define problems, develop analytic frameworks, and deliver actionable solutions.
• Build and validate statistical and ML models using Python, R, or SAS.
• Translate analytical findings into clear business presentations and reports.
• Guide junior team members and contribute to knowledge sharing.
• Ensure compliance with Basel II/III, CCAR, AML in risk and fraud modelling.

Skills

SQL

Python

R

SAS

Statistical modeling

Machine learning

Communication

Client-facing

Education

Bachelor’s or Master’s degree in a quantitative field

Tools

SQL

Python

R

SAS

Job description

Job Description

Job Title: Senior Analytics Consultant – Banking (Risk/Fraud/Marketing Analytics)

Location: Bangalore/Gurgaon (WFO)

Job Type: Full-Time

Role Overview

We are looking for a Senior Analytics Consultant with over 5 years of experience in banking analytics , specifically in areas such as credit risk modeling, fraud detection, or marketing analytics . This is a client-facing role where you’ll lead analytics engagements, design and implement advanced models, and translate data insights into strategic recommendations for banking clients.

Key Responsibilities

• Lead and manage analytics projects in the banking sector with a focus on credit risk (e.g., scorecards, PD/LGD/EAD models), fraud analytics (e.g., real-time detection, anomaly detection), or marketing analytics (e.g., customer segmentation, CLTV, campaign targeting).
• Collaborate with clients to define business problems, develop analytic frameworks, and deliver actionable solutions.
• Build and validate statistical and machine learning models using Python, R, or SAS.
• Translate complex analytical findings into clear, business-friendly presentations and reports.
• Guide junior team members and contribute to knowledge sharing within the firm.
• Ensure compliance with regulatory standards (e.g., Basel II/III, CCAR, AML) in risk and fraud modeling.

Required Qualifications

• Bachelor’s or Master’s degree in Statistics, Economics, Mathematics, Computer Science, or a related quantitative discipline.
• 5+ years of hands‑on experience in banking analytics with a focus on one or more of the following: credit risk, fraud detection, or marketing.
• Proficiency in SQL and at least one analytical programming language (Python, R, or SAS).
• Strong understanding of statistical modeling techniques and machine learning algorithms.
• Experience working with large datasets and conducting data wrangling, feature engineering, and validation.
• Excellent communication and presentation skills, especially in client‑facing settings.
• Strong understanding of the banking regulatory environment.

Preferred Qualifications

• Prior experience in a consulting or professional services environment.
• Familiarity with cloud‑based analytics platforms (e.g., AWS, Azure) and big data tools (e.g., Hive, Spark).
• Experience with regulatory model validation or governance frameworks.
• Exposure to digital banking data sources and real‑time analytics.

What We Offer

• High-impact projects with top banking institutions.
• A collaborative and intellectually curious team culture.
• Clear paths for career growth and leadership.
• Competitive compensation