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us: Quantitative Risk, Model Developer - Market Risk Analytics - VP

             
Apr
24
Citigroup Inc.; Irving, Texas, United States
Support market risk analytics projects in multiple areas, including FRTB (Fundamental Review of the Trading Book, the next generation of market risk regulatory framework) CCAR (Comprehensive Review of the Trading Book), and LIBOR transition; Develop market risk models critical for quantifying the ma...      Master’s Degree or equivalent in STEM or other quantitative fields required (Mathematics, Statistics, Financial Engineering, Quantitative Finance etc.) with 6+ years of Quantitative experience; Fewer years of relevant experience will be considered for candidates with higher academic qualifications...

us: Ph.D Data Scientist

             
Apr
23
Epsilon Data Management, LLC; Irving, United States
Individually contribute to data science and machine learning R&D projects; Use your data science, machine learning, and/or computer science skills to conduct research and contribute to solutions to technology and business problems; Contribute to projects from early-stage research through develop...      Ph.D. in a computational, mathematical, engineering, or scientific field; Fluency in computer programming, data structures, and algorithm design; Proven analytic and modeling skills; Proven ability to conduct research projects; Research experience in a computational area such as data science, comput...

us: Senior Data Analyst

             
Mar
29
Epsilon Data Management, LLC; Irving, Texas, United States
Analyze and interpret complex datasets using Python/SQL and other analytical tools; Develop and maintain data hygiene processes to ensure data quality and results accuracy; Deliver results and insights using different data sources; Utilize Python/SQL to automate recurring projects as well as Ad Hoc ...      Bachelor’s degree in a quantitative discipline (e.g., statistics, economics, mathematics, marketing analytics) or significant relevant coursework; 1; 3 years’ professional experience with data mining, segmentation, and/or predictive modeling using large, marketing databases; Demonstrated profici...
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