Senior Manager

4 days ago

India Gurgaon GurgaonSEZ BPO Solutions Analytics Full time ₹ 12,00,000 - ₹ 36,00,000 per year

About the Role:

We are looking for an experienced Marketing Modeling Specialist to join our dynamic team. The ideal candidate will have a strong background in banking analytics, preferably working with APAC banks or fintechs, and will play a key role in transforming data into actionable marketing strategies to drive customer acquisition, engagement, and retention.

Key Responsibilities:

  • Analyze customer and product data from banking portfolios to generate actionable marketing insights.
  • Design, implement, and track marketing campaigns targeted to retail and commercial banking customers.
  • Develop segmentation strategies/models to identify high-potential customer segments and cross-sell opportunities.
  • Collaborate with marketing, product, and data teams to design experiments and measure campaign effectiveness (e.g., A/B testing, holdout groups).
  • Present analytical findings and recommendations to stakeholders to guide marketing strategy and investment decisions.
  • Monitor and report on key marketing KPIs, campaign ROI, and customer behavior trends.
  • Leverage advanced analytics tools (SQL, Python, R, Tableau, etc.) to automate reporting and build dashboards.
  • Use Machine Learning to build sophisticated models predicting customer churn, propensity to buy, next best action etc.

Requirements:

  • Minimum 2+ years of experience in marketing analytics, preferably in the banking or financial services domain.
  • Strong understanding of credit products, customer lifecycle, and marketing strategies within APAC banks or fintechs.
  • Proven experience in data extraction, data wrangling, statistical analysis, model development & documentation, including securing approvals with legal and model governance teams.
  • Proficiency in SQL and at least one statistical programming language (Python or R).
  • Experience with BI tools (e.g., Tableau, Power BI) to visualize and communicate insights.
  • Strong business acumen and ability to translate data insights into strategic recommendations.
  • Excellent communication and stakeholder management skills.

Education:

  • Bachelors or Masters in quantitative field such as Economics, Statistics, Finance, Mathematics

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