Senior Manager, Credit Risk Modeling - Data Science

Key Skills

Java Programming, Analytical and Problem solving, Management, Python Programming, SQL, Aartificial intelligence, Machine learning techniques, A/B Testing, MATLAB Programming, Data Modeling, Tableau, R Programming, SAS, SPSS Statistics, Mathematics, Spotfire, Data Analysis

Job Description

Under the direction of the Director, Credit Risk Modeling – Decision Science, this role is accountable for leading the specialized credit risk analysis, risk rating systems, and introducing new data science techniques and methodologies to support credit risk management activities for P&C Canada consumer and small business portfolios.

The Senior Manager provides advanced analytical expertise to manage the development, validation, monitoring, reporting and documentation of the origination, portfolio risk management and collection models and strategies.

• Credit Risk Model Development for P&C Canada consumer and business banking portfolios
• Credit Risk Analytics for P&C Canada consumer and business banking portfolios
• Project Management and Coaching and Mentoring

Supports the research and development of quantitative risk modeling methodologies and related strategies in support of the management of risks arising from business/group portfolios and products. Applies knowledge of analytics algorithms and technologies to develop forward looking models and analytic solutions that ensure risks are properly identified, understood and risk related strategies are enabled. Summarizes statistical findings, draws business conclusions, and presents actionable business recommendations used in the management of risks and related activities e.g. associated internal controls; enterprise-wide stress testing and scenario analysis; capital modelling; valuations. Drives innovation through the development of data products that can be leveraged across the organization and establishes best practices as well influences data governance guidelines and policies. May specialize in one or more risk categories e.g. Credit Risk, Market Risk, Interest Rate Risk, etc.

• Fosters a culture aligned to BMO purpose, values and strategy and role models BMO values and behaviours in all that they do.
• Ensures alignment between values and behaviour that fosters diversity and inclusion.
• Regularly connects work to BMO's purpose, sets inspirational goals, defines clear expected outcomes, and ensures clear accountability for follow through.
• Builds interdependent teams that collaborate across functional and operating groups to create the highest value for all stakeholders.
• Attracts, retains, and enables the career development of top talent.
• Improves team performance, recognizes and rewards performance, coaches employees, supports their development, and manages poor performance.
• Provides strategic input into business decisions as a trusted advisor.
• Makes recommendations to senior leaders on strategy and new initiatives, based on an in-depth understanding of the business/group.
• Acts as a subject matter expert on relevant regulations and policies.
• May network with industry contacts to gain competitive insights and best practices.
• Acts as a subject matter expert on relevant regulations and policies.
• Oversees the development and delivery of tools and training reporting tools and self-serve analytics by non-analytical end users.
• Influences and negotiates to achieve business objectives.
• Identifies emerging issues and trends to inform decision-making.
• Manages resources and leads the execution of strategic initiatives to deliver on business and financial goals.
• Recommends business priorities, advises on resource requirements and develops roadmap for strategic execution.
• Develops and manages comprehensive information management systems; designs and/or leads initiatives to improve processes, analysis and reporting.
• Conducts independent analysis and assessment to resolve strategic issues.
• Identifies emerging issues and trends to inform decision-making.
• Acts as the prime subject matter expert for internal/external stakeholders.
• Ensures alignment between stakeholders.
• Builds effective relationships with internal/external stakeholders.
• Makes recommendations to senior leaders on strategy and new initiatives, based on an in-depth understanding of the business/group.
• Defines business requirements for analytics & reporting to ensure data insights inform business decision making.
• Develops and applies the framework for databases; oversees database management in adherence with data governance standards.
• Monitors and tracks performance, and addresses any issues.
• Leads the execution of ad-hoc analytics and reporting solutions and cyclical programs; assesses and adapts as needed to ensure quality of execution (8,9).
• Leads change management programs of varying scope and type, including readiness assessments, planning, stakeholder management, execution, evaluation and sustainment of initiatives.
• Leads the development of the communication strategy focusing on positively influencing or changing behaviour.
• Collaborates across BMO to develop communications strategies and ensure consistency of messaging, in order to positively influence or change behaviour.
• Leads the execution of operational programs; assesses and adapts as needed to ensure quality of execution.
• Develops analytical solutions and makes recommendations based on an understanding of the business strategy and stakeholder needs.
• Provides advice and guidance to assigned business/group on implementation of analytical solutions.
• Works with stakeholders to identify the business requirements, understand the distinct problems, and the expected outcome and models and frames business scenarios which impact critical business processes and/or decisions.
• Works with various data owners to discover and select available data sources from internal sources and external vendors (e.g. lending system, payment system, external credit rating system) to fulfill analytical needs.
• Applies scripting/programming skills to assemble various types of source data (unstructured, semi-structured, and structured) into well-prepared datasets with multiple levels of granularities (e.g., demographics, customers, products, transactions).
• Develops agreed analytical solution by applying suitable statistical techniques (e.g., A/B testing, prototype solutions, mathematical models, algorithms, machine learning, artificial intelligence) to test, verify, refine hypotheses.
• Summarizes statistical findings and draws conclusions and presents actionable business recommendations. Presents findings & recommendations in a simple, clear way to drive action.
• Documents data flow, systems and processes in data collection to improve efficiency and apply use cases.
• Performs experimental design approaches to validate finding or test hypotheses.
• Uses the appropriate algorithms to discover patterns.
• Builds effective relationships with internal/external stakeholders. Ensures alignment between stakeholders.
• Supports development of tools and delivers training for data and analytics.
• Supports development and execution of strategic initiatives in collaboration with internal and external stakeholders.
• Leads/participates in the design, implementation and management of core business/group processes.
• Operates at a group/enterprise-wide level and serves as a specialist resource to senior leaders and stakeholders.
• Applies expertise and thinks creatively to address unique or ambiguous situations and to find solutions to problems that can be complex and non-routine.
• Implements changes in response to shifting trends.
• Broader work or accountabilities may be assigned as needed.

Qualifications:

• Typically 5+ years previous work experience in an analytical role developing data science and data engineering solutions.
• At least Master’s degree in Statistics, Mathematics, Actuarial Science, Engineering, Operations Research, Economics, Computer Science or another highly quantitative field
• Expert knowledge of sound practices in scorecard as well as PD, EAD, and LGD model development, validation, deployment, documentation and on-going compliance coupled with deep understanding of modeling theory and methodologies combined with practical application.
• Thorough understanding of Consumer and Business Banking origination, account management and collection systems and polices. (i.e. origination, portfolio management, collection, and provision systems) and policies.
• Data preparation, data analysis, and statistical tool sets including but not limited to Spotfire, Tableau, SQL, SAS, R, Python, MATLAB, SPSS.
• Relevant experience in risk, capital, and/or treasury management is preferred.
• A professional designation in Finance or Risk management is preferred.
• Seasoned professional with a combination of education, experience and industry knowledge.
• Verbal & written communication skills - In-depth / Expert.
• Analytical and problem solving skills - In-depth / Expert.
• Influence skills - In-depth / Expert.
• Collaboration & team skills; with a focus on cross-group collaboration - In-depth / Expert.
• Able to manage ambiguity.
• Data driven decision making - In-depth / Expert.