Level

TD Bank

Risk Manager II (US)

TD Bank is hiring a Risk Manager II (US) for a remote role open to applicants in United States. It pays $115k-$173k a year and Level rates it ; you can apply on TD Bank.

Level's read on this job

  • Level rates this role Works on AI ●●●○: the daily work is on AI products, without building the model.
  • The posting lists this role as remote.
  • Tools and skills the posting cites include Python, R and SAS.
  • Level lists 1,700+ other open roles at TD Bank.
  • The role was posted within the past week.

AI in this role

Develop risk segmentation strategies, scorecards, and machine learning models for credit lifecycle management.

pythonrsasfico-decision-engine
statistical-modelinglogistic-regressionfeature-engineeringrisk-management

Work Location:

Southfield, Michigan, United States of America

Hours:

40

Pay Details:

$115,440 - $173,160 USD

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.

Line of Business:

Risk Management

Job Description:

The Risk Manager II manages the creation, implementation and validation of various risk segmentation strategies including, but not limited to: adjudication, exposure management, risk segmentation, and financial return optimization.
The position requires:
-    Strong statistical and mathematical background with auto lending experience; expertise in logistic regression, decision trees, clustering, survival analysis, GLM, gradient boosting, scorecard development, reject inference, PD/LGD loss prediction and machine learning.
-    Hands-on analytics experience with bureau and alternative data sources, and knowledge of feature engineering and attribute aggregation.
-    Advanced proficiency in SAS, R, Python, and related analytical tools.
The position is expected to:
-    Integrate large, diverse datasets, apply feature engineering, and identify trends and patterns to support model development and enhancement.
-    Develop and enhance scorecards and models throughout credit life cycle using statistical methodologies and machine learning techniques.
-    Coordinate model deployment across FICO Decision Engine, Python, and related platforms.
-    Partner with stakeholders to support Model Risk Management due diligence and timely issue resolution.
-    Leverage statistical models and vendor data platforms,  to improve acquisition and portfolio performance.
-    Support downstream use of models, consolidate business impact analyses related to model or strategy changes, and communicate key findings to the management team.

Depth & Scope:

  • Performs functions noted for Risk Manager I
  • Generally an expert at the enterprise or group business level
  • Acts as the primary regulatory interface on risk issues and requirements for a key business segment of the Bank and assesses and provides direction for existing and new regulations
  • Interfaces with teams beyond risk in a cross-functional manner
  • Represents business on corporate initiatives and identifies key risks and implications and provides direction in complex situations


Education & Experience:

  • Bachelor's degree required; Graduate degree preferred or progressive work experience in addition to experience below
  • 10+ years' experience required
  • Proficient PC skills in MS Office and a variety of PC-based analytical and reporting software packages
  • Experience with the use of Relational Databases and the process of Extract Transform Load (ETL) using common languages such as SQL or SAS
  • Working knowledge of SAS Enterprise Miner, FICO Model Builder or Angoss Knowledge Seeker
  • Strong analytical and problem solving skills are required to interpret data and draw conclusions
  • Flexibility to adapt to rapidly changing requirements
  • Extremely strong attention to detail with ability to manage a range of tasks and prioritize
  • Proven ability to develop and maintain productive business/peer relationships
  • Superb written and verbal communication skills
  • Experienced in developing and presenting recommendations to Senior Management

Physical Requirements:

Never: 0%; Occasional: 1-33%; Frequent: 34-66%; Continuous: 67-100%

  • Domestic Travel – Occasional
  • International Travel – Never
  • Performing sedentary work – Continuous
  • Performing multiple tasks – Continuous
  • Operating standard office equipment - Continuous
  • Responding quickly to sounds – Occasional
  • Sitting – Continuous
  • Standing – Occasional
  • Walking – Occasional
  • Moving safely in confined spaces – Occasional
  • Lifting/Carrying (under 25 lbs.) – Occasional
  • Lifting/Carrying (over 25 lbs.) – Never
  • Squatting – Occasional
  • Bending – Occasional
  • Kneeling – Never
  • Crawling – Never
  • Climbing – Never
  • Reaching overhead – Never
  • Reaching forward – Occasional
  • Pushing – Never
  • Pulling – Never
  • Twisting – Never
  • Concentrating for long periods of time – Continuous
  • Applying common sense to deal with problems involving standardized situations – Continuous
  • Reading, writing and comprehending instructions – Continuous
  • Adding, subtracting, multiplying and dividing – Continuous

The above statements are intended to describe the general nature and level of work being performed by people assigned to this job. They are not intended to be an exhaustive list of all responsibilities, duties and skills required. The listed or specified responsibilities & duties are considered essential functions for ADA purposes.

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 strive to make every interaction, product, and experience remarkably human and refreshingly simple for 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 foster deeper relationships, ensure disciplined execution, and build a simpler, faster banking experience. TD is deeply committed to being a leader in client experience, that is why we believe that all colleagues, no matter where they work, are client facing. Together, we are reimagining what banking can be for our clients, colleagues and communities.

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 base salary and variable compensation/incentive awards (e.g., eligibility for cash and/or equity incentive awards, generally through participation in an incentive plan) and several other key plans such as health and well-being benefits, savings and retirement programs, paid time off (including Vacation PTO, Flex PTO, and Holiday PTO), banking benefits and discounts, career development, and reward and recognition. 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.

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.

 

If you’re passionate about helping clients and building deep, lasting relationships, TD offers diverse career paths where you can grow your expertise and make a meaningful impact.  

We're committed to your success and foster a respectful workplace where diverse perspectives are valued, everyone has fair opportunities to grow, and you can unlock your full potential to achieve your career goals. Here at TD, we hire and develop the best.

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

TD Bank is an equal opportunity employer.  All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, status as a protected veteran or any other characteristic protected under applicable federal, state, or local law.

If you are an applicant with a disability and need accommodations to complete the application process, please email TD Bank US Workplace Accommodations Program at USWAPTDO@td.com.  Include your full name, best way to reach you and the accommodation needed to assist you with the applicant process.

How we rate this

Risk Manager II (US) at TD Bank rates 75 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Statistical ModelingLogistic RegressionFeature EngineeringRisk ManagementPythonRSASFico Decision Engine

Questions you could be asked

  1. Tell me about a project where statistical modeling was part of your work. What did you do?
  2. Tell me about a project where logistic regression was part of your work. What did you do?
  3. Tell me about a project where feature engineering was part of your work. What did you do?
  4. Tell me about a project where risk management was part of your work. What did you do?
  5. Walk me through how you've used Python in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: Statistical Modeling, Logistic Regression, Feature Engineering, Risk Management, and Python. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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