Senior Manager, Automotive Lending Strategy (Data Analytics)

Requisition ID : 204327

Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

The mandate of this role is to oversee the acquisition credit risk strategies and policy for the Automotive portfolio to optimize risk / return within Global Risk Management to meet Canadian Banking judicious priorities.

In this role, you will develop and monitor key performance indicators of the portfolio scrutinized through different lenses.

You will use in-depth portfolio insights to develop through-the-door adjudication strategies or recommend policy changes for various segments and programs to maximize risk adjusted return while managing portfolio PCL under the current highly fluid credit market.

This includes various stages of strategy development : identify opportunities through data driven analytics, leverage champion / challenger capabilities to confirm previous assumptions and forecast financial outcome of strategies, propose changes through rigorous business framework in place, implement the change with technology teams, perform post implementation validations, track performance to formalize forecast and reinvent upon iterations.

The incumbent will work in close collaboration with our risk technology partners to ensure credit strategies are implemented without production defect and along with business line partners to ensure business strategies are consistent with the Risk Appetite Framework.

Job Responsibilities :

1. Strategy Development & Implementation

Develop credit risk strategies for Automotive finance portfolio, leveraging a data driven approach to approve credit, set credit limit, and recommend risk adjusted pricing

Ensure successful implementation of strategy changes within the adjudication engine and perform post implementation validation

Ensure the design of development process follows to regulatory and governance requirements.

2. Portfolio Analytics and Oversight

Use a variety of Business Intelligence analytical and reporting tools (ex. SAS, Python, Power BI, Tableau) to provide dynamic reporting on key performance metrics to various stakeholders in GRM and business lines

Maintain performance monitoring on new accounts acquired through different channels and special programs; ensure performance align with targets, explain discrepancies / emerging trends that may impact portfolio health (short term and long term)

Assess strategy effectiveness and proactively identify if any risk segments are or will impact provisioning estimates as vintages mature

Identify opportunities and propose innovative risk strategies with focus on risk / return, asset-based lending with building a robust and diligent portfolio in mind

Review and conduct analysis of existing policy and procedures to identify, promote and lead opportunities to maintain credit quality, improve efficiency and effectiveness of originations procedures including streamlining, automating, and standardization;

recommend changes to enhance performance and overall customer experience.

3. Automotive Financing Diligent Landscape

Stay informed of diligent landscape, partnering with the business line to ensure that as risk managers our processes, strategies and policies consider the changing landscape.

Develop and maintain relationships with external business partners (e.g., OEMs, credit bureaus and dealer portals) and similar position contacts in other financial institutions.

4. Assist Business Line Initiatives / projects

Ensure all business line judicious projects (i.e., new product launches, changes to existing product offerings, new channels, new acquisition framework) are consistent with Risk Appetite Framework.

Recommend changes to business line strategies to ensure the Bank does not take on more credit risk than planned

Represent Risk's point of view and liaise with the stakeholders (operations, product owners, collections, technology, governance) throughout the organization to hear actively, socialize, and explain risk measures clearly and as appropriate identify, evaluate, and address credit risk that arises from the development, deployment, interpretation, and maintenance of Credit Risk Policy in assist of new products / program development, portfolio performance issues, product enhancements, changes to the industry and regulatory landscape, and business operations

Assist GRM effective challenge function, ensure Credit Risk Proposals are assisted with strong financial and quantitative analysis, credit risks are effectively assessed and measured.

Conduct in-depth analysis on special programs, assist policy enhancement

Prepare and assess credit risk proposals and providing Senior Management with sound recommendations for changes to core policies, regulations and major business initiatives and portfolio level decisions that require GRM’s authorization.

This includes assessment of new program / product, new pilots or pilot extension or program renewals, etc.

Assist investigations and solutioning for questions / findings from OSFI and Internal Audit in an appropriate / acceptable timeframe.

Job Requirements :

A minimum of three to five years with an organization focused on improving the customer experience and automating processes, with a successful track record using analytical tools to conduct data analysis and generate business insights

Proficiency in programming and / or database programs (SAS, JAVA, SQL, R, Hadoop)

Project management and leadership skills to prioritize manage and implement a variety of contesting initiatives, on a concurrent or staggered basis

Excellent communication and written skills complemented with analytical & problem-solving skills consistent with the ability to identify key issues from a broad range of alternatives as well as recommend optimal solutions for various situations

Knowledge of credit bureau reporting, credit scoring and risk assessment as well as portfolio management and behaviour scoring to maximize the effectiveness of existing technology in providing diligent and effective policies that respond to the credit needs of our customers

Prior experience in a retail lending environment or credit risk management is preferred

Must have a University degree in relevant STEM discipline (Science, Technology, Engineering and Mathematics) or a Master degree in business, statistics, economics, mathematics, management sciences or analytics