Assistant Vice President - Data Analytics & Governance - FinTech

Responsibilities:

Data Strategy & Governance:

- Design and execute the company's data strategy and roadmap, including data governance, data quality, and data management to support business goals and competitive positioning.

- Establish and enforce data governance principles, practices, policies, and standards to ensure data quality, integrity, and compliance.

- Define and oversee the data lifecycle management process, ensuring effective management of data from creation to archiving or deletion.

Risk & Fraud Detection:

- Develop predictive models to identify potential credit risks, detect fraud, and optimize credit limit assignments.

Business Insights & Decision-Making:

- Collaborate with business stakeholders to identify data needs and drive data-driven decision-making.

- Establish a strong data-driven approach across the organization.

- Drive innovation through AI, ML, and predictive modeling, leveraging modeling techniques to analyze and present actionable data for business decisions.

- Oversee business intelligence (BI) and analytics initiatives to generate insights and enhance decision-making in risk management, marketing, and customer service.

- Utilize data analytics to optimize pricing strategies, balance sheet management, and profitability projections.

- Implement strategies to enhance customer lifetime value (CLV) through data-driven decision-making.

Customer & Market Insights:

- Develop and manage data analytics platforms and tools to gain insights into customer behavior, credit risk, and market trends to drive marketing campaigns, improve retention, and enhance customer experience.

- Leverage data for customer segmentation, targeting, and personalization to improve marketing and engagement.

Data Governance & Security:

- Lead the development and maintenance of a comprehensive data governance framework across the organization.

- Oversee data collection, storage, and maintenance, ensuring accuracy and accessibility.

- Drive data innovation and analytics initiatives to uncover business insights and opportunities.

- Lead data warehousing and integration efforts, consolidating data from multiple internal and external sources for comprehensive analysis.

- Mitigate risks related to data privacy and ensure ethical handling of customer data.

- Work closely with the Chief Information Security Officer (CISO) to ensure robust data security and protect against breaches or misuse.

Collaboration & Leadership:

- Work closely with Marketing and Product Development teams to utilize data insights for improving product offerings, pricing strategies, and customer acquisition efforts.

- Lead and manage data teams, including data analysts, data engineers, and data scientists.

- Stay updated on industry trends and emerging technologies to leverage data for competitive advantage.

Applicants Should Possess the Following Attributes:

- Expertise in developing risk models for fraud detection and credit risk mitigation.

- Proficiency in customer segmentation, behavioral analysis, and targeted marketing strategies.

- Strategic Thinking Ability to anticipate risks and align risk management strategies with long-term objectives.

- Leadership Skills Strong leadership to manage diverse teams and influence cross-functional stakeholders.

- Analytical Expertise High-level analytical capabilities to assess complex risk scenarios, conduct thorough analysis, and derive actionable insights.

- Regulatory Knowledge Deep understanding of industry regulations and risk management best practices to ensure compliance and governance.

- Decision-Making Strong data-driven decision-making skills to manage crises and recommend sound risk mitigation strategies.