Assistant Manager – Analytics

Mashreq

Assistant Manager in AI & Machine Learning enhancing digital banking performance through advanced analytics solutions. Collaborating with business teams for insights and predictive models.

Posted 8/3/2026full-timeRemote • 🇮🇳 IndiaSeniorLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and deploying machine learning models for customer segmentation and campaign targeting, leveraging advanced analytics to enhance digital banking performance and customer engagement. Proficient in using data science toolkits and statistical model development techniques to drive insights and optimize marketing effectiveness.

Highest-signal resume keywords

Machine Learning Model DevelopmentSASPythonSQLStatistical Model Development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AnalyticsPredictive ModelingCustomer SegmentationChurn PredictionStatistical TestingDecision TreesLogistic RegressionNeural NetworksClusteringApplied Statistics

Soft Skills

Verbal Presentation SkillsPictorial Presentation Skills

Industry Keywords

FintechRetail BankingDigital MarketingCustomer EngagementDigital Campaign Performance

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

The Assistant Manager – AI & Machine Learning will support the development of advanced analytics and AI-driven solutions to enhance digital banking performance, customer engagement, and marketing effectiveness.
Leverage customer digital footprint data across digital channels to generate insights, develop predictive models, and optimize digital marketing campaigns and customer journeys.
Develop and deploy machine learning models for customer segmentation, churn prediction, and campaign targeting.
Support marketing teams in evaluating digital campaign performance using advanced analytics and AI-driven insights.
Work closely with teams to identify data-driven opportunities and present findings to stakeholders.

Requirements

What you’ll need

Overall 9.0 years of experience in analytics in a Fintech and/or Retail Banking environment
6+ years of hands on experience in liability portfolio management analytics
Experience with common data science toolkits like SAS, Python & R
Proficiency in using query languages such as SQL
Good applied statistics skills, such as distributions, statistical testing, regressing etc.
Strong experience with statistical model development techniques like decision trees, logistic regression, neural networks, clustering etc.
Good scripting and programming skills
Strong verbal and pictorial presentation skills preferred

Benefits

Comp & perks

Health insurance
401(k) matching
Flexible work hours
Paid time off
Remote work options