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Senior Manager - Credit Strategy
Experience in solving credit risk or data-driven problems in a consumer lending environment Proven ability to drive strategy within a consumer lending context Strong grounding in NPV-driven decision making Proficient in SQL Company familiarity with Python
Vice President of Pricing
., Excel, SQL, SAS, Python)
Revenue Programs Manager
experience in sales enablement, sales operations, or related roles Comfortable using analytics to measure effectiveness and drive improvements Advanced technical skills, including proficiency in Excel, SalesLoft, 6Sense, Salesforce, Confluence, and SQL/Python
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Senior Credit Manager
7+ years of related experience in consumer lending or credit cards Experience in the credit strategy analytical life cycle, including strategy development and implementation Proficient in data exploration and credit modeling using Excel, SQL, and Python
Senior Model Risk Program Manager
., Python, SAS) Good understanding of federal guidance related to model risk management (SR 11-7)
California Licensed Lead Actuary
preferred 7+ years of actuarial experience Associate of the Casualty Actuarial Society (ACAS) Credential Advanced skills in actuarial, mathematical, and statistical techniques Proficiency in data analysis tools and programming languages such as Python
Risk Analytics Manager
findings through formal reports and verbal presentations to stakeholders Required Qualifications: Master's degree in Statistics, Mathematics, Financial Engineering, Management Information Systems, or related field Experience with SAS, R, MATLAB, or Python
Data Analyst, Capital Markets
securities (RMBS) Collaborate with engineering teams to develop solutions and communicate insights to clients Required Qualifications Experience with financial data, particularly loan-level servicing data and securitizations Proficiency in SQL, Python
Senior Vendor Manager
strategic objectives Ensure agency partners deliver a personalized and seamless borrower experience Required Qualifications MBA from a top-tier business school with consulting experience Strong quantitative and modeling skills; familiarity with SQL, Python
Credit Risk Strategy Manager
Econometrics, Statistics, Operations Research, or a related field Three years of credit risk management experience in the financial services industry Understanding of the credit lifecycle Proficiency in analyzing large datasets using SAS, SQL, R, or Python
