Job Description

Lead Assistant ManagerEXL/LAM/1356934


ServicesGurgaon
Posted On
23 May 2025
End Date
07 Jul 2025
Required Experience
5 - 15 Years



Basic Section
Number Of Positions


5


Band


B2


Band Name


Lead Assistant Manager


Cost Code


D009074


Campus/Non Campus


NON CAMPUS


Employment Type


Permanent


Requisition Type


New


Max CTC


500000.0000 - 2000000.0000


Complexity Level


Not Applicable


Work Type


Hybrid - Working Partly From Home And Partly From Office


Organisational
Group


Analytics


Sub Group


Analytics - UK & Europe


Organization


Services


LOB


Services


SBU


Analytics


Country


India


City


Gurgaon


Center


EXL Gurgaon Center 39-B




Skills
Skill


SQL


SAS


TABLEAU


EXCEL


Minimum Qualification


BBA


Certification


No data available

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

Workflow
Workflow Type


L&S-DA-Consulting