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As an Associate in our Risk Analytics and Modeling team, you’ll have the opportunity to apply your quantitative, modeling and analytical skills in a real world environment to develop or validate statistical, financial engineering, and AI/machine learning models in the areas of credit risk, market risk, assets and liabilities management, fraud detection, anti money laundering and other functional modeling and analytics area.
Full-timeExpandApply NowActive JobUpdated 21 days ago - UpvoteDownvoteShare Job
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Assess risk of transactions through reviews of quantitative models, portfolio analysis, stress testing, and other methods. Assess the credit and financial strength of the firm's hedge fund, mutual fund and private equity fund counterparts by performing fundamental credit analysis of counterparties using both quantitative and qualitative factors.
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Risk Engineering is a multidisciplinary group of quantitative experts who are the authoritative producers of independent risk & capital metrics for the firm. A&R has a unique vantage point in the firm’s risk data flows that, when coupled with a deep understanding of client and market activities, allows it to build scalable workflows, processes and procedures to deliver actionable risk insights.
ExpandApply NowActive JobUpdated 22 days ago - UpvoteDownvoteShare Job
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Prior curriculum in statistics, economics, quantitative finance, Applied or Computational Mathematics, data analytics or management, machine learning, Within this program, you will be introduced to many functional areas such as credit, risk management, finance and commercial-specialty banking.
Full-timeExpandApply NowActive JobUpdated 2 months ago - UpvoteDownvoteShare Job
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This process allows for you to further analyze a company’s financial, operational, and management strengths and weaknesses to identify potential capital, balance sheet and reputational risks while proactively identifying credit issues or challenges early on in the underwriting process and recommending ways to further mitigate risk.
Full-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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Education: Bachelor's degree or higher in a quantitative field such as applied math, statistics, engineering, physics, accounting, finance, economics, econometrics, computer sciences, or business/social and behavioral sciences with a quantitative emphasis and 4+ years of experience in one or a combination of the following: reporting, analytics, or modeling.
Full-timeExpandApply NowActive JobUpdated 22 days ago - UpvoteDownvoteShare Job
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Domain experience in one of the following areas: financial services, business banking, product analytics, marketing, developer ecosystem, or risk analytics. Domain expertise in one of the following areas: financial services, business banking, product analytics, marketing, developer ecosystem, or risk analytics.
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SummaryUnder the supervision of the Model Risk Manager, the Model Risk Analyst II - Credit will use quantitative expertise, critical thinking, problem solving, and analytical skills in the bank's Model Risk Management (MRM) program to ensure compliance with model risk governance policy and regulatory expectations.
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The Staff Risk Analyst will contribute to the performance analysis of SoFi products using empirical measurements, use quantitative and machine learning models to forecast losses and provide insights on the drivers for losses will also collaborate with the Business Unit, Finance, Accounting, Credit & Fraud Risk groups.
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The Data Scientist will contribute to the performance analysis of SoFi products using empirical measurements, develop quantitative and machine learning models to forecast losses and provide insights on the drivers for losses.
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