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EXL Services
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Lead Assistant Manager

Lead Assistant Manager

EXL Services

1 - 8 years

5 - 25 Lacs

Gurgaon

Posted:4 days ago| Platform: GlassDoor logo

Apply

Skills Required

risk management sql python data analyze transactions regression correlation analysis segmentation reporting dashboard analytics clustering tableau aws sagemaker lending statistics workflow

Work Mode

On-site

Job Type

Part Time

Job Description

Lead Assistant Manager

EXL/LAM/1429335

ServicesGurgaon

Posted On

22 Jul 2025

End Date

05 Sep 2025

Required Experience

1 - 8 Years

Basic Section

Number Of Positions

Band

Band Name

Lead Assistant Manager

Cost Code

D010803

Campus/Non Campus

NON CAMPUS

Employment Type

Permanent

Requisition Type

New

Max CTC

500000.0000 - 2500000.0000

Complexity Level

Not Applicable

Work Type

Hybrid – Working Partly From Home And Partly From Office

Organisational

Group

Analytics

Sub Group

Banking & Financial Services

Organization

Services

LOB

Banking & Financial Services

SBU

Analytics

Country

India

City

Gurgaon

Center

Gurgaon-SEZ BPO Solutions

Skills

Skill

FRAUD AND RISK MANAGEMENT

SQL

PYTHON

Minimum Qualification

B TECH

Certification

No data available

Job Description

The Senior Statistical Data Analyst is responsible for designing unique analytic approaches to detect, assess, and recommend the optimal customer treatment to reduce frictions and enhance experience while properly managing fraud risk with data driven and statistical methods. You will analyze large amounts of account and transaction data to build customer level insights to derive the recommendations and methods to reduce friction and enhance experience on fund availability, transaction/fund hold time and more, and models while managing the customer

experience. This role requires critical thinking and analytical savviness to work in a fast-paced environment but can be a rewarding opportunity to help bring a great banking experience and empower the customers to achieve their financial goals.

Responsibilities:

Analyze large amounts of data/transactions to derive business insights and create innovative solutions/models/strategies.
Aggregate and analyze internal and external risk datasets to understand performance of fraud risk at customer level.
Analyze customer's banking/transaction behaviors, and be able to build predictive models (simple ones like logistic regression, linear regression) to predict churns or negative outcomes or running correlation analysis to understand the correlation.
Develop personalized segmentations and micro-segmentation to identify customers based on their fraud risk, banking behaviorals, and value.
Conduct analysis for data driven recommendations with reporting dashboard to optimize customer treatment regarding friction reduction and fund availability across the entire banking journey.

Skillset:

Analytics professional preferably with experience in Fraud analytics.
Minimum 2 years of experience in relevant domain - Data Analysis and building models/strategies.
Strong knowledge and working experience in SQL and Python is a must.
Experience analyzing data with statistical approaches with python (e.g. in Jupyter notebook): for example, clustering analysis, decision trees, linear regression, logistic regression, correlation analysis
Knowledge of Tableau and BI tools
Hands-on use of AWS (e.g. S3, EC2, EMR, Athena, SageMaker and more) is a plus
Strong communication and interpersonal skills
Strong knowledge of financial products, including debit cards, credit cards, lending products, and deposit accounts is a plus.
Experience working at a FinTech or start-up is a plus.
Notice period: Max 60 days. immediate joiners preferred.

Education:

Bachelors or Masters in Quantitative field such as Economics, Statistics, Mathematics
BTech/MTech/MBA from Tier 1 colleges (IIT, NIT, IIM)

Workflow

Workflow Type

L&S-DA-Consulting

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Lead Assistant Manager