Job title: Head of Retail Risk - Credit Card Designation: DVP Experience: 15+ Years of relevant experience Location: Navi - Mumbai Must be from a banking/BFSI background only. Job Summary: This role will manage its own and manage risk policy for new customer acquisition for credit card product. This will involve policy formulation, evaluation and continuous monitoring and implementation in BRE. The person will also be responsible for having a thorough understanding of key risk indicators such as early month on books delinquency, marginal segments, vintage curves, acquisition scorecards and lead funneling. KEY DUTIES & RESPONSIBILITIES OF THE ROLE Owning and managing acquisition risk policy for credit cards Implementation of risk rules in BRE Monitoring early performance trends and taking proactive action MINIMUM REQUIREMENTS OF KNOWLEDGE & SKILLS Understanding of risk drivers - Bureau, Scorecards and Income models Familiarity with BRE system and UAT for policy testing Conversant with credit card product and regulatory landscape BRE system knowledge Data analysis Strong in Excel/Powerpoint/Documentation If interested please share your CV to sampanwikilabs@gmail.com Show more Show less

Job Title: Lead Portfolio Growth & Business Intelligence, Digital Banking. Location: Seawoods, Navi-Mumbai Experience: 8+ years Must be from a BFSI background Job Role Purpose & Objective : This position requires an experienced leader who can drive strategic initiatives leveraging data and analytics to enhance customer experience, optimize business performance, and ensure data-driven decision-making at all levels of the organization. The ideal candidate will have a strong background in banking, finance, and advanced analytics, with the ability to manage large, complex data sets and lead a high-performing team. KEY DUTIES & RESPONSIBILITIES OF THE ROLE: Responsible for: a. Decision Sciences (Modeling & Analytics) b. Business Intelligence (MIS Enablement / Data Visualisation; Reporting; Dashboards for Business, functions) c. Work with functional units to set up the data stack & for the bank d. Identify & implement the appropriate analytics stack for the Bank Detailed Note: - Develop and execute the data analytics strategy in alignment with the bank’s business goals and objectives. - Lead, mentor, and manage a high-performing team of data analysts, data scientists, and data engineers. - Establish best practices for data quality, data management, and reporting frameworks to ensure consistent, accurate, and accessible data. - Develop and implement advanced analytics models (predictive analytics, machine learning, etc.) to optimize key business functions such as credit scoring, risk management, marketing, and customer segmentation. Provide regular insights and actionable reports to senior leadership, highlighting trends, opportunities, and areas for improvement. - Utilize data visualization tools (e.g., Tableau, Power BI) to present findings in a clear and compelling manner. - Drive the creation and continuous improvement of business intelligence (BI) tools and dashboards for operational reporting, performance metrics, and decision-making. Support the bank in achieving its strategic goals by identifying key performance indicators (KPIs) and helping to define metrics that align with business objectives. - Identify opportunities for automation and process improvements within the data analytics ecosystem. - Stay updated on industry trends and emerging technologies in data science and analytics, ensuring the bank’s analytics capabilities remain cutting-edge Minimum Requirement of Knowledge & Skills: Expertise in managing large and complex datasets. Strong knowledge of data warehousing, data lakes, and data pipelines Strong ability to convey complex data insights to non-technical stakeholders, using clear and actionable language. Skilled in data visualization and making data-driven recommendations that resonate with diverse audiences. Expertise in using tools like R, Python, Tableau, and Power BI governance Educational Qualifications: B Tech / Master’s or equivalent degree in Computer Science, Mathematics, Econometrics, Statistics Total Experience: Min 8-12 years of experience in financial services – esp. unsecured lending, credit cards, consumer loans, with experience in driving business results; risk analytics Certifications (If any): Certifications in data analytics, data science, or machine learning (e.g., Google Data Analytics, AWS Certified Data Analytics) are a plus. If interested, share your CV to sampanwikilabs@gmail.com Show more Show less