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Qualifications: MS degree in Applied Mathematics, Financial Engineering, Econometrics, Statistics, Finance, Physics, or Business preferred. C#, Matlab, R, Python Experience in structured finance and cash flow modelling a strong plus Working knowledge of Moody's Structured Finance Workstation (SFW) strongly preferred Hard working, prudent, easy to work with, and willingness to learn new technologies The Department / Team Credit Strategy & Standards / Modelling & Quantitative Analytics / Model Verification Team For US-based roles only: the anticipated hiring base salary range for this position is.
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Advanced degree in a quantitative discipline (e.g., Statistics, Operations Research, Economics, Computational Biology, Computer Science, Mathematics, Physics, Finance) or equivalent practical experience.
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E, biology, history, chemistry, economics, physics, English, mathematics, engineering) We work tirelessly every day to ensure each child in NYC has access to a fun, rigorous, whole-child education regardless of zip code or economic status.
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A Ph. D. in computer science, statistics, engineering, physics and econometrics or other quantitative science; and professional experience at a hedge fund, prop trading firm or investment bank focused on quantitative analysis, trading system development or algorithmic execution.
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PhD in Physical Chemistry, Computational Chemistry, Quantum Chemistry, Materials Science, Engineering, Physics, or a related scientific discipline. As a member of our growing Materials Science Discovery team, you'll focus on developing data-driven models using physics and machine learning to provide predictive solutions for optimizing catalyst materials and associated processes with a strong commercialization focus.
$120,000 - $170,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Masters degree in a quantitative field (e.g., Statistics, Engineering, Physics, Mathematics and Economics) or PhD is required. 20 weeks paid parental leave for all parents, regardless of gender, offered for pregnancy, adoption or surrogacy.
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Basic Qualifications:Bachelor's Degree complete or in progress preferably in applied mathematics, statistics, computer science, data science, electrical engineering, physics, or closely related fieldA minimum of (9) nine years of overall experienceFamiliar with JavaSrcriptExperience with JSON parsing and YAMLExperience interacting with RESTful APIsExperience with scripting languages like Python, Bash, and PowerShellExperience with TLS/SSL to secure data in transit.
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Currently, we are seeking a motivated, career and team-oriented Senior Data Ingest Platform Engineer in support of the U.S. Department of Homeland Security (DHS) Cybersecurity and Infrastructure Security Agency (CISA) Continuous Diagnostic & Mitigation (CDM) Data Services Program.
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Requirements:-Bachelor's, Master's, or PhD degree from a top-tier university in a quantitative field such as Mathematics, Statistics, Computer Science, Engineering, Physics, or a related discipline.
Starting at $250,000 - $400,000 a year (bonuses)ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Outstanding records of academic achievement and a technical degree from a top-tier world-class math, statistics, physics, engineering, computer science or other technical or quantitative programs.
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QualificationsYou have: - MSc. or PhD in mathematical finance, mathematics, physics, statistics, engineering, computer science, informatics or similar quantitative area. QualificationsYou have: - MSc. or PhD in mathematical finance, mathematics, physics, statistics, engineering, computer science, informatics or similar quantitative area.
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Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more.
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Strong engineering background, preferably in fields such as Computer Science, Mathematics, Software Engineering, Physics, or Data Science. Location: Hybrid in the New York City, DC or Denver area OR fully remote working within the EST time zone.
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Applied Physics is seeking a seasoned strategist with extensive experience to lead our financial operations. If you are a talented, motivated, and empathetic individual who shares our passion for making a difference, we encourage you to apply for this exciting opportunity to work with our team at Applied Physics.
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Graduate degree in quantitative discipline, such as physics, finance, math, statistics, or other analytical discipline with outstanding academic record. Knowledge of Bloomberg, BlackRock Aladdin and Clearwater Analytics is a plus.
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physics job Company: New York City Police Department in Newark, NJ
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