Assistant/Deputy Manager - Data Science Risk & Collection - Financial Services (8-10 yrs)

Assistant/Deputy Manager - Data Science Risk & collection - Financial Services

Skills & Requirements:

Advanced Problem Solving & Analytical Expertise:

- Demonstrate strong problem-solving abilities and effectively translate complex business challenges into statistical questions.

- Select optimal modeling and analysis techniques to deliver actionable insights and algorithmic solutions for the business.

Model Development & Strategic Analysis:

- Profiling and Analysis: Utilize comprehensive business knowledge, data visualization, cross tabulation, statistical testing, and data mining to identify customer/prospect needs, behavior patterns, product preferences, and opportunities for up-selling, cross-selling, and retention.

- Model Development: Employ both standard and advanced techniques (statistical modeling, data mining, predictive analytics, machine learning, optimization) to determine drivers of key business metrics (e.g., campaign response, customer attrition, buying propensity, multi-channel marketing). Evaluate and validate models to identify the most effective solution.

Communication, Coordination, & Presentation:

- Adopt a consultative approach to gather and understand requirements from growth/marketing stakeholders and collaborate with team members to define clear objectives.

- Identify and propose the best problem-solving methodologies and secure approval from stakeholders.

- Collaborate with technical teams to address data, infrastructure, or implementation challenges.

- Work closely with other professionals within the team to ensure proper application and integration of models.

- Present analysis results and model findings in a clear, concise, and actionable manner to marketing stakeholders.

- When necessary, manage and oversee contractors for specific projects.

Experience and Qualifications:

- Preferably Master in Statistics/Management science/Econometrics/ Operations Research/Economics/Biostatistics/Finance/Marketing/Business analysis with at least 1 years of relevant experience, or MS/MA/MBA in Statistics/Management science/ Econometrics/Operations Research/ Economics/ Biostatistics/ Finance/ Marketing science/Business analysis with 8-10 years of relevant experience.

Skills/Knowledge:

- Data mining / predictive analytics / machine learning techniques.

- Advanced statistics.

- PYTHON/PYSPARK.

- Familiarity with Excel and Access.

- Knowledge of banking/financial services business.

- Marketing (including direct marketing) experience.