Senior Credit Risk Analyst (ATH 2051)

Work Location:

Toronto, Ontario, Canada

Hours:

37.5

Line of Business:

Risk Management

Pay Details:

$76,800 - $115,200 CAD

TD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at TD. Our compensation policies and practices have been designed to allow colleagues to progress through the salary range over time as they progress in their role. The base pay actually offered may vary based upon the candidate's skills and experience, job-related knowledge, geographic location, and other specific business and organizational needs.

As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role.

Job Description:

Department Overview

The TD Credit Card and Personal Lending Retail Risk Management (CC/PL RRM) team is responsible for the development and execution of CC and PL automated risk decisions and credit adjudication initiatives that assist our product partners to achieve growth and profitability targets while maintaining the overall credit risk quality of CC and PL lending portfolio and ensuring portfolio performance remains within risk appetite. Accountabilities include providing effective challenge on CC and PL Portfolio, as well as designing, implementing and monitoring credit risk strategies.

Job Description

This is an exciting opportunity reporting to the Senior Manager, Credit Card and Personal Lending, Retail Risk Management. The successful candidate will be a part of a dynamic and innovative team that is responsible for monitoring and challenging credit risk activities including providing data-driven insights and analyses of risk trends across the portfolio.

Specific responsibilities include:

• As a senior risk analyst, you will leverage your understanding of consumer credit behaviour to investigate, create, implement and validate various strategies, scorecards and policies using complex data including cohort time series analysis, develop business cases, perform post implementation monitoring and reporting to ensure targets are achieved.

• Through advanced analytics and data mining, translate insights into knowledge to assess and provide effective challenge on the health of the Cards and Personal Lending portfolio. Support Risk Management Points of View to inform Management of increasing and emerging risks.

• Monitor portfolio performance and strategies, using all appropriate quantitative methods and reporting tools, provide insight on variances and make recommendations to further the achievement of business objectives, while controlling delinquency and losses within risk appetite.

• Work collaboratively with stakeholders and partners to design and recommend solutions - including new decision tools and segmentation - that improve the understanding and quantification of risk. Play an active role in supporting engagement of senior management in socializing and gaining formal approval of recommendations.

• Determine impacts of proposed solutions on credit strategies and risk performance of retail credit portfolios and strategies. Ensure proposals are balanced and comprehensive, considering customer and risk impacts. Solutions must support management of risk and enable business growth within satisfactory risk parameters.

• Gain a deep understanding over complex automated credit decision systems and strategy engines. Translate data driven insights into technology solutions that give the ability to operate and control retail credit strategies to manage credit risk. Solutions must be implemented into existing credit systems in a cost and time effective manner.

• Support the ongoing evaluation and use of predictive models in credit strategies to ensure effective use and application of various available models.

• Provide a broad range of risk analysis, reporting, monitoring and support to business requests and acting as a specialist/expert in providing guidance and advice on a range of risk related matters within assigned or own area of specialization.

• Collaborate with a variety of cross-functional stakeholders including: Credit Cards and Personal Lending Product team, related Retail Risk teams, TD partner analytics support teams, Technology, and other Control functions.

Job Requirements

This role requires a combination of technical skills, analytical expertise, project management, business knowledge, interpersonal and communication skills:

Technical and Analytical Skills:

• Superior understanding of data structures and platforms. Proficiency in SQL and/or Python.

• Knowledge of Microsoft Azure and Databricks is an asset.

• Background in analytics and data driven insights and strategy design

• Ability to produce impactful data visualizations using complex data

• Exposure to credit models and basic understanding of regression and machine learning modeling techniques and applications

• Understanding of bank technology platforms and credit systems. Exposure to application interface software used in cross-environment data transfer connections is an asset.

• Acute attention to detail to solve problems and overcome challenges

Business Knowledge:

• Credit Risk Management experience in a financial institution or similar is a strong asset

• Understanding of retail credit products, policies and processes

• Demonstrated analytical, reporting and problem-solving skills

Interpersonal and Communication Skills:

• Strong ownership mentality and can-do attitude

• Excellent relationship management skills

• Flexibility and resilience to execute in an agile environment, including the ability to manage multiple tasks concurrently

• Excellent presentation and communication skills and strong business acumen with ability to engage senior audiences

• Excellent writing and story-telling skills with ability to synthetize complex data-driven insights into compelling and comprehensive recommendations to inform executive decisions

• Strong interpersonal skills able to influence and manage a very broad and diverse set of partners and stakeholders

Education and Accreditation

• Graduate degree in a quantitative field: MSc Statistical Science, Masters of Data Science, MSc in Management Business Analytics, Masters of Business Analytics, Masters of Management Analytics, or similar. 2+ years relevant experience is an asset.

• Undergraduate degree in a quantitative field: Math, Statistics, Computer Science, Engineering, Applied Science, or similar. 5+ years relevant experience is an asset.

Who We Are:

TD is one of the world's leading global financial institutions and is the fifth largest bank in North America by branches/stores. Every day, we deliver legendary customer experiences to over 27 million households and businesses in Canada, the United States and around the world. More than 95,000 TD colleagues bring their skills, talent, and creativity to the Bank, those we serve, and the economies we support. We are guided by our vision to Be the Better Bank and our purpose to enrich the lives of our customers, communities and colleagues.

TD is deeply committed to being a leader in customer experience, that is why we believe that all colleagues, no matter where they work, are customer facing. As we build our business and deliver on our strategy, we are innovating to enhance the customer experience and build capabilities to shape the future of banking. Whether you’ve got years of banking experience or are just starting your career in financial services, we can help you realize your potential. Through regular leadership and development conversations to mentorship and training programs, we’re here to support you towards your goals. As an organization, we keep growing – and so will you.

Our Total Rewards Package
Our Total Rewards package reflects the investments we make in our colleagues to help them and their families achieve their financial, physical, and mental well-being goals. Total Rewards at TD includes a base salary, variable compensation, and several other key plans such as health and well-being benefits, savings and retirement programs, paid time off, banking benefits and discounts, career development, and reward and recognition programs. Learn more

Additional Information:
We’re delighted that you’re considering building a career with TD. Through regular development conversations, training programs, and a competitive benefits plan, we’re committed to providing the support our colleagues need to thrive both at work and at home.

Please be advised that this job opportunity is subject to provincial regulation for employment purposes. It is imperative to acknowledge that each province or territory within the jurisdiction of Canada may have its own set of regulations, requirements.

Colleague Development
If you’re interested in a specific career path or are looking to build certain skills, we want to help you succeed. You’ll have regular career, development, and performance conversations with your manager, as well as access to an online learning platform and a variety of mentoring programs to help you unlock future opportunities. Whether you have a passion for helping customers and want to expand your experience, or you want to coach and inspire your colleagues, there are many different career paths within our organization at TD – and we’re committed to helping you identify opportunities that support your goals.
 

Training & Onboarding
We will provide training and onboarding sessions to ensure that you’ve got everything you need to succeed in your new role.

Interview Process 
We’ll reach out to candidates of interest to schedule an interview. We do our best to communicate outcomes to all applicants by email or phone call.

Accommodation
Your accessibility is important to us. Please let us know if you’d like accommodations (including accessible meeting rooms, captioning for virtual interviews, etc.) to help us remove barriers so that you can participate throughout the interview process.

We look forward to hearing from you!

Language Requirement (Quebec only):

Sans Objet