Risk Manager II

🔥 1 hour ago

🏖️ New Jersey, Michigan – Remote

🏖️ New Jersey – Remote 🚗 Michigan – Remote

💵 $115.4k - $173.2k / year

⏰ Full Time

🟠 Senior

🔴 Lead

🎲 Risk

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TD

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1855

🏦 Banking

💸 Finance

🛡️ Insurance

💰 Grant on 2023-10

Banking • Finance • Insurance

TD is one of North America's biggest banks offering a wide range of banking services including personal and business banking, insurance, wealth management, and securities. TD is committed to sustainability, diversity, equity, and inclusion, ensuring a supportive and inclusive workplace where employees are empowered to grow. The bank provides various roles and career opportunities across different regions with a focus on community impact and professional development. TD's culture is defined by care and respect, aimed at benefiting their business performance, customers, and communities.

📋 Description

• Manage the creation, implementation, and validation of risk segmentation strategies, including adjudication, exposure management, risk segmentation, and financial return optimization • Integrate large, diverse datasets, apply feature engineering, and identify trends and patterns for model development and enhancement • Develop and enhance scorecards and models throughout the credit life cycle using statistical methodologies and machine learning techniques • Coordinate model deployment across FICO Decision Engine, Python, and related platforms • Partner with stakeholders on 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 • Communicate key findings to the management team • Act as primary regulatory interface on risk issues and requirements for a key business segment • Assess and provide direction for existing and new regulations • Interface cross-functionally with teams beyond risk • Represent the business on corporate initiatives and identify key risks and implications • Provide direction in complex situations • Perform occasional domestic travel and continuous sedentary, multitasking, office-equipment, concentration, reading, writing, and calculation activities

🎯 Requirements

• Bachelor's degree required; graduate degree preferred or progressive work experience in addition to the experience below • 10+ years' experience required • Auto lending experience • Strong statistical and mathematical background • 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 • Knowledge of feature engineering and attribute aggregation • Advanced proficiency in SAS, R, Python, and related analytical tools • Proficient PC skills in MS Office and PC-based analytical and reporting software • Experience with relational databases and ETL using SQL or SAS • Working knowledge of SAS Enterprise Miner, FICO Model Builder, or Angoss Knowledge Seeker • Strong analytical and problem-solving skills • Flexibility to adapt to changing requirements • Strong attention to detail and ability to prioritize tasks • Ability to develop and maintain productive business and peer relationships • Superb written and verbal communication skills • Experience developing and presenting recommendations to senior management • Ability to perform occasional domestic travel

🏖️ Benefits

• Base salary of $115,440 - $173,160 USD • Variable compensation/incentive awards, including eligibility for cash and/or equity incentive awards • 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 • Reward and recognition • Regular career, development, and performance conversations with manager • Online learning platform • Mentoring programs • Training and onboarding sessions • Competitive benefits plan • Respectful and inclusive workplace • Accommodation support for applicants with disabilities