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We are seeking a Quantitative Crypto Analyst to join the Fidelity Digital Asset Management business and report directly to the Head of Research. The team will work closely with Research, Investment Operations, Data Science and Risk across topics such as portfolio construction, rebalancing, collateral management, technology infrastructure and automating processes.
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Minimum qualifications: Bachelor’s degree in a quantitative discipline (e.g., Statistics, Operations Research, Bioinformatics, Economics, Computational Biology, Computer Science, Mathematics, Physics, Electrical Engineering, Industrial Engineering) or equivalent practical experience.
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Extensive experience in quantitative modeling using interactive computational platforms such as Python, R, MATLAB, or similar, using modern data structures, analysis, and visualization tools in production Windows and/or Linux environments is required.
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Relevant certifications such as FRM (Financial Risk Manager) or CFA (Chartered Financial Analyst) are a plus. Develop and implement quantitative risk models and methodologies specific to structured credit instruments such as residential mortgage-backed securities (RMBS), asset-backed securities (ABS), and collateralized loan obligations (CLOs.
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Knowledge of data mining and analytic methods such as Clustering / Cluster Analysis, Factor Analysis, Regression Models, Logistic Regression, Predictive Modeling, optimization models, etc.
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Or, alternatively: Bachelor's degree in Mathematics, Statistics, Operations Research, Economics or other quantitative discipline (willing to accept foreign education equivalent) and five (5) years of experience as a Quantitative Analyst (or closely related profession) performing model validation or model development in the banking, insurance or consulting industry.
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Experience with NX/Nastran, Abaqus, ADAMS, LS-Dyna, Matlab, Mathcad and CREO. Perform loads development (primary structure and component level), shock and vibration environments determination and component and system level testing and data evaluation.
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The Wholesale Credit and Climate Risk (WCCR) group within Citi Data, Analytics, Risk, Technology (DART) is looking to add an experienced quantitative analyst at Assistant Vice President (AVP) level to join the Loss Forecasting and Analytics team in Tampa, Florida.
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For further inquiries regarding the following opportunity, please contact one of our Talent Specialist Sony | (630) 847 1417 Dipankar | (224) 507 1264 Title: Microelectronics Data Analyst (Remote) Duration: 1 to 2 months Location: Remote (Work from home) Position Overview: Our client, a company specializing in government contracts in the microelectronics sector, is seeking a skilled Microelectronics Data Analyst to join their team on a remote basis.
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The Senior Quantitative Financial Analyst will contribute to the Corporate Audit function’s coverage of various types of models used for anti-money Laundering (AML) transaction monitoring, economic sanctions and fraud detections.
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The Analyst, Research and Portfolio Management position will lay the data-driven groundwork to help execute a comprehensive campaign that will support the Naval Academy's Strategic Plan 2030.
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Bonus: Experience with research in a quantitative field like CS, physics, EE, computational biology (Phd, Masters or other projects) Use techniques like LIME, SHAP, recent temporal pattern mining (RTP) to develop explainable machine learning models.
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Must Have: Excellent quantitative modeling, analytical, research, and programming skills such as Python, Matlab, or R; Strong communication skills both verbal and written; Proven solid project management skills, with the ability to work independently on multiple tasks and/or projects; and Solid knowledge of financial markets and products particularly including asset allocation, equity market & products, fixed income market and products, ETF markets, and liquidity.
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The Operations Research Systems Analyst (ORSA) designs, develops, and applies a variety of decision analytics, mathematical and statistical techniques, data mining, modeling and simulation, and other analytic methods combined with military and / or IC judgment to address operational and planning challenges to facilitate senior leadership decisions.
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The Sr. Quantitative Portfolio Analyst will be responsible for supervision and implementation of quantitative portfolio management for retirement management account and non-discretionary model portfolios.
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