Duties: 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 request; Appropriately account for the timeliness and quality of all assignments
Requirements: 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 proficiency in Python/SQL programming; minimum 2 years; Working knowledge of MS Office; including PowerPoint, Word, Excel and Outlook; Strong analytic thought process and ability to interpret findings

Duties: 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 market risk exposures of Citi’s trading book and calculating regulatory capital; Collaborate with other teams include Risk IT to implement new models, resolve production issues and enhance existing implementation; Calibrate model parameters, perform variance analysis to explain the changes in model output due to parameter updates; Perform ongoing analysis of models, including backtesting and profit attribution analysis (PAA); On a regular basis, engage market risk managers and the businesses on analytics-related matters; Develop and maintain technical documentation
Requirements: 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 and/or certifications such as a PhD, a second Master’s degree, CPA or CFA; Strong technical skills, proficiency in a computational language such as Python or R is required; familiarity with SQL and UNIX is a plus; Experience with analyzing large and complex data sets; Good verbal and written communication skills

Duties: 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 development; Implement and optimize state-of-the-art algorithms in distributed environments; Develop an understanding of Epsilon PeopleCloud Digital Media Solutions personalization platform and proprietary datasets; Participate fully in our collaborative approach to research and applications projects
Requirements: 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, computer science, machine learning, artificial intelligence, statistics, or graph algorithms