State Street-posted 12 days ago
$195,000 - $198,750/Yr
Full-time • Mid Level
Hybrid • Boston, MA
5,001-10,000 employees

The Platform Solutions Data Science Lead, VP will play a pivotal role in developing and delivering advanced quantitative data solutions that enhance transparency, intelligence, and execution for both clients and internal teams. This position centers on leveraging data science expertise to create impactful technology products for State Street’s client-facing financing platform. The ideal candidate will combine deep knowledge of financing and collateral markets with strong leadership abilities and a creative approach to problem-solving. Success in this role requires translating client needs into innovative data-driven solutions, collaborating cross-functionally, and applying quantitative methods to address complex business challenges. The team you will be joining is a part of State Street Markets (SSM). When owners and managers of institutional assets need research, trading, securities lending, and innovative portfolio strategies, they turn to SSM business units. As our investment research and trading arm, SSM’s number one goal is to enhance and preserve our clients’ portfolio values by applying technology, optimizing trading, and linking asset classes and markets across the world. Join us if making your mark in the capital markets industry from day one is a challenge you are up for.

  • Lead the design and implementation of advanced analytics and optimization frameworks for the Financing Hub platform.
  • Collaborate with internal technology teams, external vendors, and partners to ensure successful product deployment.
  • Prototype and iterate on innovative solutions, working with internal stakeholders and clients to deliver tailored products efficiently.
  • Engage directly with clients and prospects, conducting product demonstrations, managing proof of concepts, and serving as a subject matter expert.
  • Maintain high standards of governance and model risk management throughout the solution development process.
  • Represent State Street at industry conferences and events, showcasing platform capabilities and thought leadership.
  • Foster a collegial and professional team environment through collaboration and active engagement with colleagues.
  • Ability to deliver results under tight deadlines and manage multiple priorities effectively
  • Strong attention to detail, analytical mindset, and commitment to high-quality outcomes
  • Excellent communication, organization, and time management skills
  • Strategic thinking with the capacity to influence, collaborate, and engage across all organizational levels
  • Self-motivated, adaptable, and eager to tackle new challenges
  • Intellectual curiosity and a passion for continuous learning and development
  • Bachelor’s degree or higher required
  • At least 5 years of experience in data science or quantitative roles within financial services or technology sectors
  • Exceptional analytical skills and proficiency in Python programming
  • Proven experience leading and collaborating with Agile teams
  • Excellent written and verbal communication abilities, with strong interpersonal skills to effectively engage with business leaders and technical teams at all organizational levels
  • Preferred experience in securities financing (including securities lending/borrowing, repo, and collateral management)
  • Background in working with analytics and execution platforms
  • Employees are eligible to participate in State Street’s comprehensive benefits program, which includes: our retirement savings plan (401K) with company match; insurance coverage including basic life, medical, dental, vision, long-term disability, and other optional additional coverages; paid-time off including vacation, sick leave, short term disability, and family care responsibilities; access to our Employee Assistance Program; incentive compensation including eligibility for annual performance-based awards (excluding certain sales roles subject to sales incentive plans); and, eligibility for certain tax advantaged savings plans.
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