Ashwin Srinivasan

Credit Risk Management

• Senior team member in credit risk strategy - leading strategic acquisition and line assignment projects based on profitability and risk segmentation

Regulatory Modeling (Oct 2017 - Mar 2021)

• Led a 9 member project team across global locations to develop the Australia home loan Basel III AIRB model
• Developed PD, LGD and EAD model for home loan mortgage model
• Spearheaded robust documentation and submission to regulators (PRA & HKMA)
• Partnered with across department to implement newly developed AIRB model on novel data architect working closely with cross functional teams, including regional business stakeholders, model validation and governance teams
• Hands-on experience recalibrating Basel III models to adjust for model accuracy deterioration
• Setup novel reporting, monitoring and validation process for all new Basel model for secured and unsecured lending portfolio
• Building and managing effective relationships across Asia Pacific country and country teams, for Basel Model Management, implementation and Regulatory Analytics for Asia Pacific portfolios.

Marketing and Product Analytics (Oct 2013-May 2016)

• Redeveloped the predictive campaign acquisition scorecards and response model for unsecured loans and credit cards
• Responsible for analysis and implementation of all acquisition campaign strategies for credit card, loans and overdrafts
• Designed A/B testing approach for evaluating campaign performance
• Designed sustainable automated complex salary and customer relationship mapping

Customer and Channel Analytics (May 2016 - Oct 2017)

• Developed new segmentation strategy and contact strategy for private customers
• Designed BAU plan and tracking mechanism for migration of customer from core to private channel
• Identified quality prospects to be serviced through private channel based on their current holding and opportunity
• Developed novel fully-automated management-information processes and dashboard

Stores Performance Analytics

• SME in Target’s Healthcare and Compliance area.
• The work involved monitoring existing business practices, identifying weaknesses and then recommending solutions to business partners Developed predict model to identify risky stores and improve efficiency of stores Collaborated with US partners and research centers to evaluate the functioning of pharmacy and stores Used data driven analytical insights to influence and challenge stakeholders Suggested data based improvements in compliance area to assist the frontline at the stores Supervised and managed lateral hires on projects.