Vice President, Data Management and Quantitative Analysis I

hackajob is collaborating with BNY to connect them with exceptional professionals for this role. Job Description XBK, LLC seeks Vice President, Data Management and Quantitative Analysis I in Boston, MA, to work with internal and external datasets and client reference data and participate in the development of statistical, financial and/or econometric models for analyzing asset performance, securities data, derivative pricing, risk exposure or other sophisticated concepts. Provide analytical project management support for assigned area. Support assigned area with advanced, complex statistical, and quantitative analyses. Contribute to the development of the techniques and methodologies to be used for each type of activity/analysis. Lead data modeling and quantitative analysis projects. Use technology tools to conduct analyses. Applies techniques such as SQL and querying and macro development to extract data for populating models. Perform programming or system configuration in order set up sophisticated models or algorithms. Understand the relevant processes and products in assigned area and which analyses, methodologies and approaches best support assessment of performance, risk, or valuation. Begin to lead complex projects in support of new or evolving processes/products. Interpret findings, prepare standard and ad-hoc reports and deliver results to management and/or other leaders. Provide recommendations for addressing observed outcomes. Translate complex technical concepts and analyses to non-technical audiences. Remote work may be permitted within a commutable distance from the worksite. REQUIREMENTS: Bachelor’s degree, or foreign equivalent, in Statistics, Mathematics, Mathematical Finance, or a related field, and five (5) years of progressively responsible experience in the job offered or in a related quantitative occupation in the financial industry. Five (5) years of progressively responsible experience must include: Handling internal and external datasets and client reference data, and participating in the development of statistical, financial, and econometric models for analyzing asset performance, securities data, derivative pricing, and risk exposure; Applying techniques including SQL, querying, and macro development to extract data for populating models, and performing programming and system configuration in order set up sophisticated models or algorithms; Writing automated testing plan for model validation, and creating macro to deliver model results in a concise and clear manner for non-technical business users; Coordinating projects as Agile team Scrum Master to specify, prioritize, and plan the implementation, integration and launch of platform features and services; and Interpreting findings, preparing standard and ad-hoc reports, and delivering results to management and other leaders, and translating complex technical concepts and analyses to nontechnical audiences. Qualified applicants please apply online at and utilize reference code 76646. Please indicate “referral source – advertisement – WEB.” BNY assesses market data to ensure a competitive compensation package for our employees. The base salary/range for this position is expected to be $165,000.00 - $185,000.00 per year at the commencement of employment. Base salary if hired will be determined on an individualized basis, including as to experience and market location, and is only part of the BNY total compensation package, which, depending on the position, may also include commission earnings, discretionary bonuses, short and long-term incentive packages, and Company-sponsored benefit programs. This position is at-will, and the Company reserves the right to modify the base salary (as well as any other discretionary payment or compensation) at any time, including for reasons related to individual performance, change in geographic location, Company or individual department/team performance, and market factors. BNY is an Equal Employment Opportunity/Affirmative Action Employer. Minorities/Females/Individuals with Disabilities/Protected Veterans.aa415a4b-8b21-40fc-a65c-70d2b25ca29a