Description:
As the Head of Data Science, you will be responsible for defining our data strategy, leading a high-performing team of data scientists, AI/ML Engineers and Credit Risk analysts. Collaborating cross-functionally with Product, Engineering, Risk, and Business teams.
Key Responsibilities:
Leadership & Strategy:
- Build, mentor, and lead a multidisciplinary team of data scientists, AI/ML engineers, and credit risk analysts.
- Develop frameworks and best practices for data experimentation, modeling, and deployment.
- Champion a data-driven culture across the organization.
Model Development & Innovation:
Lead the development of predictive and prescriptive models in areas such as:
a. Credit scoring and risk assessment
b. Fraud detection and prevention
c. Customer segmentation and lifetime value modeling
d. Personalization and recommendation systems
e. Pricing optimization and product analytics
- Ensure scalability, interpretability, and regulatory compliance of all models.
Data Infrastructure & Governance:
- Collaborate with data engineering to ensure robust data pipelines, architecture, and quality.
- Establish standards for data governance, security, and ethical AI practices.
- Drive the integration of data science solutions into production systems.
Cross-Functional Collaboration:
- Partner with Product and Engineering to integrate ML models into fintech applications and workflows.
- Work with Risk and Compliance to align analytical models with regulatory frameworks (e.g., AML, KYC,
GDPR).
- Provide actionable insights to Executive Leadership for strategic business decisions.
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