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Bachelor's or Master's degree in a quantitative field such as Mathematics, Statistics, Physics, Engineering, or related disciplines. I am currently partnering with a leading Energy Trading firm in the Connecticut area that is actively looking to expand their Power Trading desk by taking on a Quantitative Analyst to work directly alongside their Head of US Power.
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Education Doctorate or Masters’ degree in econometrics, statistics, data analytics, computer science or other STEM fields (, physics, math, engineering, etc.) The individual will collaborate with IT, Data Governance Team, Credit Risk, Finance, Model Risk Management, Auditors, Off-shore consultants, vendors, and LoB partners throughout the Bank. The scope includes working across one or more of our main subject areas: R&D, Quarterly CECL Production and Dual Risk Rating Underwriting models.
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One or more of the following credentials or certifications is required: CPA License, Level 3 of the CFA, JD, PhD, MBA or Master’s degree in Finance, Tax, Quantitative Statistics, Financial Engineering, Economics, Real Estate Finance or Hospitality A State Certified Appraiser License, Member of Appraisal Institute (MAI), Member of American Society of Appraisers (ASA) or achieve certification of CRE, CRI and/or CCIM, CHA, or PMP.
Full-timeExpandApply NowActive JobUpdated 27 days ago - UpvoteDownvoteShare Job
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EDUCATION: A master's or equivalent graduate degree or two full years of progressively higher-level graduate education leading to a master's or equivalent graduate degree in computer science, engineering, information science, information systems management, mathematics, statistics, operations research, engineering or technology management.
Full-timeExpandApply NowActive JobUpdated 19 days ago - UpvoteDownvoteShare Job
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Advanced degree in quantitative finance, financial engineering, mathematics, statistics, or a related field. Identify and quantify various sources of risk, such as credit risk, interest rate risk, and liquidity risk, and develop strategies to mitigate these risks.
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Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT. Who Should Apply Recent Computer science/Engineering /Mathematics/Statistics or Science Graduates or People looking to switch careers or who have had gaps in employment and looking to make their careers in the Tech Industry.
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To be considered for this opportunity you must have a Master's degree completed by start date and 7+ years of business analytics, statistics, data mining, applied mathematics, engineering, computer science or related field experience OR Bachelor’s degree and 12+ years of business analytics, statistics, data mining, applied mathematics, engineering, computer science or related field experience.
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Bachelor’s degree in statistics, actuarial science, mathematics, engineering or similar quantitative fields; or significant experience in advanced data analytics. Experience developing models in cloud-based tools in Azure such as Databricks, Snowflake, Github.
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Requires Bachelor’s degree in Finance, Financial Engineering, Information Engineering, or a related field of study, plus two (2) years of experience with conducting empirical research and analysis with large data sets; econometrics or statistics; and programming in MATLAB or Python to implement financial models and analyze complex datasets.
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PhD or Masters degree from a top university, with a major in computer science, mathematics, statistics, physics, engineering, or quantitative finance discipline. PhD or Masters degree from a top university, with a major in computer science, mathematics, statistics, physics, engineering, or quantitative finance discipline.
$150,000 - $200,000 a yearFull-timeExpandApply NowActive JobUpdated 6+ months ago - UpvoteDownvoteShare Job
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Strong mathematical and analytical capabilities; pursuing ACAS/FCAS designation or clear mathematical degree (engineering, mathematics, statistics, etc.) A Bachelor's degree from an accredited college.
$104,000 - $168,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Currently pursuing a degree in: Food Processing Engineering, Food Science, Microbiology, or Chemistry. Passion for leveraging data and creating meaningful insight leveraging key Data analytics techniques include those such as data/text mining, machine learning, pattern matching, visualization, and statistics.
$62,100 - $85,000 a yearFull-timeExpandApply NowActive JobUpdated 6+ months ago
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