Model development-Model Risk Management

Anaptyss; Gurugram District; On-site; INR 3,500,000 - 6,200,000; Full time

Job summary

Anaptyss seeks 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, engagement and marketing decision-making.

The ideal candidate will have 6–10 years of predictive modeling experience, hands-on Python, SAS and SQL, and the ability to independently manage end-to-end model development while collaborating with US-based stakeholders.

Qualifications

• 6–10 years of predictive modeling or data science experience.
• Proficiency in Python, SAS and SQL.
• Strong knowledge of regression, classification and model evaluation.
• Experience handling large datasets and feature engineering.
• Ability to manage end-to-end model development independently.

Responsibilities

• Develop and enhance models for customer acquisition, propensity, cross-sell and campaign response.
• Prepare and maintain Model Development Reports (MDRs) with methodology and performance.
• Perform EDA, feature engineering, variable selection on large datasets.
• Apply statistical and ML techniques including regression, classification, and trees.
• Conduct model performance evaluation, back-testing, monitoring and recalibration.
• Develop model documentation covering methodology, validation and limitations.
• Collaborate with marketing and business stakeholders to translate requirements.
• Present modeling results and insights to US-based stakeholders.

Skills

Python

SAS

SQL

Statistical modeling

Data science

Feature engineering

Hypothesis testing

Model evaluation

Stakeholder communication

Job description

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.