NLB Services
Senior Model Developer
Skills
1 month ago
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Important information
Contract type:
Permanent
Salary:
₹2,000,000 – ₹3,000,000 / year
Location:
Gurugram, Haryana, India
Work mode:
Onsite
Published on:
25 September 2026
What they need
We are seeking experienced Senior Model Developers to support the Marketing Analytics function of a leading US-based bank. The role involves developing, enhancing and monitoring predictive models to support customer acquisition, cross-selling, customer engagement and marketing decision-making.
The ideal candidate should possess strong statistical modeling expertise, hands-on programming skills and the ability to independently manage modeling assignments while collaborating with US-based stakeholders.
Key responsibilities
- Develop and enhance statistical and machine learning models for customer acquisition, propensity, cross-sell and campaign response.
- Prepare and maintain comprehensive Model Development Reports (MDRs), documenting model methodology, data preparation, variable selection, assumptions, performance evaluation, limitations and implementation considerations.
- Perform exploratory data analysis, feature engineering, variable selection and model development using large customer and transactional datasets.
- Apply appropriate statistical and machine learning techniques, including regression, classification and tree-based algorithms.
- Conduct model performance evaluation, back-testing, monitoring and recalibration.
- Develop comprehensive model documentation covering methodology, assumptions, validation results and limitations.
- Collaborate with marketing and business stakeholders to translate business requirements into analytical solutions.
- Present modeling results, business insights and recommendations to US-based stakeholders.
Required skills and experience
- 6-10 years of relevant experience in predictive modeling, statistical analytics or data science.
- Strong hands-on proficiency in Python, SAS and SQL, with advanced expertise in at least one statistical programming language.
- Strong understanding of statistical modeling, hypothesis testing, regression, classification and model evaluation.
- Experience working with large datasets, data preparation and feature engineering.
- Ability to independently manage end-to-end model development assignments.
- Strong analytical, problem-solving, documentation and stakeholder communication skills.
Preferred qualifications
- Experience in banking or financial services, particularly marketing analytics.
- Experience developing customer propensity, acquisition, cross-sell, retention or campaign response models.
- Familiarity with model governance, monitoring and documentation requirements.
- Experience working with US-based business stakeholders.
If interested Kindly share your resume at [email protected]
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