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We invest across the full spectrum of credit strategies, including leveraged loans, high-yield bonds, distressed debt, direct lending, structured products, non-performing loans, and equities. This entails designing and implementing a sophisticated data governance framework spanning across capabilities and tools such as data quality checks, defining/tracking KPI’s, data lineage and data structure and organization (e.g. organized data hierarchies, well-maintained data dictionary and report catalogue, as well as data and report certification.
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Responsibilities: Perform / lead independent review and model validation of wholesale credit risk and compliance risk models including PD, LGD, Loss forecasting, AML, Fair Lending, Fraud Detection, and other business or operational related models.
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As a Senior 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.
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Proficient knowledge of financial model design and visualization (using tools such as Advanced Microsoft Excel, Power BI, Tableau, PowerPoint, and Anaplan) and demonstrated ability for analyzing large data sets and building complex financial models.
$58,000 - $91,000 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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We provide investment servicing, data & analytics, investment research & trading and investment management to institutional clients. Working with credit instruments (senior secured loans and high yield bonds.
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The Brigham & Women’s Talent Acquisition Team (focused on Hospital Operations & Administration) invites applications for an intern seeking a 2024 Fall internship for course credit to gain exposure to the daily operations of Human Resources.
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Experience with statistical packages such as SAS, Matlab, Stata, Python, and R.Experience with database management, such as SQL.Experience with data visualization tools such as Microsoft Power BI, Tableau, QlikView.
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You will be joining the Analytics & Insights - Data Science team within FPAS that is focused on providing wide variety of ML and optimization solutions in Credit and Marketing Investments including Loan Decisions, Promotions and Pricing by applying advanced analytics techniques.
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Other perks include: unlimited PTO, recharge days, travel discounts on SuperTravel, Weekly UberEats credit. We are seeking a qualified Data Analyst to embed within our fintech cross-functional team, focusing on card product acquisitions and customer engagement.
$150RemoteExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Perform / lead independent review and model validation of wholesale credit risk and compliance risk models including PD, LGD, Loss forecasting, AML, Fair Lending, Fraud Detection, and other business or operational related models.
ExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Other support partners include FLU/CF business Data Management teams, Global Banking Operations/Credit Process teams, Enterprise Data Strategy and Governance, Global Compliance Risk, Audit, etc.
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Our investment ecosystem and scale allow alternative investors to partner with world class investment research experts across fundamental equity, credit, fiscal/monetary economics, derivatives, rates, risk, data science, climate, sustainability, and many others.
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Fidelity, through its broker dealers, is required to send significant amounts of detailed trading and customer account and identification data to various governmental and industry regulators such as FINRA, FINRA CAT, the SEC and MSRB. The Regulatory Reporting group, across several functions, is responsible for performing these duties on behalf of the broader firm.
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Thus, the Investment Analyst will be able to gain exposure to all asset classes, including public equities, hedge funds, private equity, venture capital, credit, and real assets. The Analyst plays a critical supporting role as a member of the investment team, helping to manage the endowment’s assets by collecting, organizing, and analyzing data and information to support portfolio management and Investment research efforts and decisions; managing and honing the systems, processes, and tools utilized by the team to manage the portfolio and day-to-day workflow; and supporting the preparation of investment reports, memos, and investment committee materials.
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In addition to your strong data architecture/coding expertise - gained in a Credit Asset Manager - you’ll need the soft skills to “sell” changes & articulate the impact of technology on the business.
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credit data jobs in Boston, Columbia, Missouri
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