Vice President, Data Management and Quantitative Analysis I

Reposted 15 Hours Ago
Be an Early Applicant
Boston, MA, USA
In-Office
165K-185K Annually
Senior level
Fintech • Financial Services
The Role
Lead data management and quantitative analysis for finance: build statistical, financial, and econometric models (asset performance, securities, derivatives, risk), extract and transform data using SQL and macros, program/configure systems, write model validation tests, serve as Agile Scrum Master for projects, interpret results, and communicate findings to leadership and nontechnical audiences.
Summary Generated by Built In

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 https://bnymellon.eightfold.ai/careers 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.

About the Team

At BNY, our culture speaks for itself, check out the latest BNY news at: BNY Newsroom & BNY LinkedIn

 Here’s a few of our recent awards:

  • America’s Most Innovative Companies, Fortune, 2025
  • World’s Most Admired Companies, Fortune 2025
  • “Most Just Companies”, Just Capital and CNBC, 2025

Our Benefits and Rewards:

BNY offers highly competitive compensation, benefits, and wellbeing programs rooted in a strong culture of excellence and our pay-for-performance philosophy. We provide access to flexible global resources and tools for your life’s journey. Focus on your health, foster your personal resilience, and reach your financial goals as a valued member of our team, along with generous paid leaves, including paid volunteer time, that can support you and your family through moments that matter.

BNY is an Equal Employment Opportunity/Affirmative Action Employer - Underrepresented racial and ethnic groups/Females/Individuals with Disabilities/Protected Veterans.

Skills Required

  • Bachelor's degree in Statistics, Mathematics, Mathematical Finance, or related field (or foreign equivalent)
  • Five years of progressively responsible quantitative experience in the financial industry
  • Handling internal and external datasets and client reference data
  • Developing statistical, financial, and econometric models for asset performance, securities, derivative pricing, and risk exposure
  • Applying SQL and querying to extract data for populating models
  • Macro development (Excel macros/VBA) to deliver model results to business users
  • Programming or system configuration to set up sophisticated models or algorithms
  • Writing automated testing plans for model validation
  • Coordinating projects as Agile team Scrum Master (specify, prioritize, plan implementation and integration)
  • Interpreting findings, preparing standard and ad-hoc reports, and translating complex analyses to nontechnical audiences

BNY Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about BNY and has not been reviewed or approved by BNY.

  • Healthcare Strength Health coverage includes comprehensive options with a $0‑premium plan for eligible lower earners, expanded mental‑health support with personalized therapy, and strong income protection through short‑ and long‑term disability. These features have been recently enhanced and are paired with dental and vision coverage.
  • Parental & Family Support Parental leave provides 16 weeks of fully paid time for all parents, with added support such as adoption assistance. This breadth offers strong coverage for major family events.
  • Retirement Support The 401(k) program includes a company match and Roth options to support long‑term savings. Additional financial programs like tuition assistance and savings vehicles complement retirement readiness.

BNY Insights

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The Company
HQ: New York, NY
41,739 Employees

What We Do

We help make money work for the world — managing it, moving it and keeping it safe. As a leading global financial services company at the center of the world’s financial system, we touch nearly 20% of the world’s investable assets. Today we help over 90% of Fortune 100 companies and nearly all the top 100 banks globally access the money they need. For 240 years we have partnered alongside our clients to create solutions that benefit businesses, communities and people everywhere.

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