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Company

TD · 8 hours ago

Credit Risk Senior Manager - First Party Fraud & Credit Abuse

Wilmington, DE

Full-time

Remote

Senior Level, Lead/Staff

$111K/yr - $179K/yr

10+ years exp

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Responsibilities

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.

Provides critical information, interpretative, and detailed analysis, and deploys critical credit risk rational strategies that ensures the decisions are made within the TD risk appetite and adhere to all governmental requirements and guidelines.

Investigates, creates, implements and validates various risk segmentation strategies and policies using complex data including cohort time series analysis of PCL, Marketing Investments, Decision Expense, Risk Adjusted Revenue, Risk Adjusted Margin, NPV, ROE, etc. with the limited guidance from the manager.

Designs, develops, implements, and validates various First Party Fraud & Credit Abuse strategies.

Provides essential information, interpretative and detailed analysis, and assists in implementing key fraud strategies to ensure decisions are made within the TD risk appetite framework, adhere to fraud standards, and comply with all regulatory requirements and guidelines.

Conducts cohort time series analysis of fraud, Risk Adjusted Margin, ROE, and other metrics, under guidance, to optimize false-positives and key fraud performance Indicators.

Reviews fraud attacks/ emerging threats to understand & address coverage gaps within strategies, policies, procedures, and prioritizations to deliver on fraud loss plans.

Interfaces with teams beyond risk in a cross-functional manner and represents business on corporate initiatives.

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.

Qualification

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Risk ManagementFirst Party Fraud StrategiesCredit Risk ManagementData AnalysisSQLSASPythonRMATLABTableauETL Processes

Required

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

Preferred

Bachelor's degree required; master's degree preferred (e.g., Mathematics, Statistics Physics, Economics, Operations Research, Engineering, Business Administration, Finance or Computer Science)

10+ years of experience in First party fraud or credit risk management within the credit card sector of financial services.

Understanding of payment risk, fraud life cycle management, including emerging fraud risks and trends is desired.

Extensive experience working with SAS, SQL, Python, R, MATLAB, Tableau etc.

Working knowledge of empirical scoring systems including CHAID, SAS Enterprise Miner, FICO Model Builder, Angoss Knowledge Seeker.

Exceptional quantitative and analytical skills, with ability to identify patterns, trends, and insights; Conduct risk/reward trade-off analysis.

Synthesize data to draw meaningful conclusions. Strong critical thinking skills required for interpreting results.

Proficient PC skills including a strong competency in MS Excel and PowerPoint.

Demonstrated interpersonal and organizational skills with strong diligence in a fast-paced matrixed environment.

Experienced in developing and presenting recommendations to Senior Management