State Street-posted 5 days ago
Full-time • Mid Level
Boston, MA
5,001-10,000 employees

State Street’s Financing Solutions organization helps institutional clients generate income, facilitate short sales, and obtain secured financing through three core businesses—Agency Lending, Prime Services, and Secured Financing/Repo. The Portfolio Finance team optimizes financial resources across these products, with remit spanning portfolio pricing, balance sheet optimization, analytics and risk management. The role will have close proximity to the Prime Services product while supporting decision-making across the broader Financing Solutions franchise. We are seeking a quantitatively strong, market-savvy strategist to build and scale the analytics that power pricing, balance sheet usage, and risk optimization across Financing Solutions. You will design the models, data pipelines, and decision frameworks that inform how we deploy capital and liquidity, manage inventory and financing, and set client- and product-level pricing—partnering closely with Trading, Client Management, Technology, Operations, Risk, and Business Development. This role blends hands-on modeling and programming with product thinking, and rewards an entrepreneurial mindset that is comfortable with ambiguity, moves quickly from hypothesis to evidence, and communicates clearly to both business and technical audiences.

  • Portfolio Finance & Resource Optimization Develop quantitative models that optimize capital, liquidity, and balance sheet usage across the Prime Services (physical & synthetic) client base
  • Incorporate capital, leverage, and liquidity considerations and translate model outputs into pricing frameworks and client/product profitability analytics.
  • Build resource calculators and “what-if” tools (e.g., RWA/Liquidity actuals vs. forecasts) to support scenario planning, revenue forecasts, and allocation decisions.
  • Analytics & Market Intelligence Design and maintain asset- and portfolio-level analytics and benchmarking methodologies reflecting market conditions, asset/client mix, and counterparty behavior.
  • Construct dashboards and insights that provide timely, trusted views on key business metrics, including utilization, inventory, P&L/attribution, financing spreads, client/product ROC and pipeline.
  • Source, normalize, and integrate market and peer data to identify opportunities/risks, and inform product strategy and client engagement.
  • Data, Tooling & Infrastructure Define data requirements and work with Engineering/DA teams to build robust ETL/ELT processes, canonical data sets, and centralized metrics
  • Implement model governance practices (performance monitoring, periodic recalibration, etc).
  • Cross-Functional Collaboration & Delivery Collaborate with Client Management and Trading to design and develop portfolio analytics and optimization tools that inform pricing and inventory decisions.
  • Serve as a subject matter expert for the technical aspects of Portfolio Finance analytics and trading
  • Research & Innovation Partner with internal research groups (e.g., State Street Associates) to apply machine learning and advanced analytics to financing use cases: demand forecasting, pricing elasticity, anomaly detection, and optimization heuristics.
  • Prototype new data-driven decision aids and assess the ROI of techniques; champion a test‑and‑learn culture with rigorous measurement.
  • Deep quantitative orientation with demonstrated experience in financial resource optimization (capital, liquidity, funding) and portfolio/pricing analytics within a front-office markets context.
  • Hands-on programming skills—Python (preferred) and comfort working with large datasets and performance‑sensitive code.
  • Relational database fluency (e.g., Sybase, Oracle, SQL) and practical data engineering hygiene (schemas, indexing, query optimization).
  • Experience analyzing, merging, and interrogating large datasets to uncover relationships and drive decisions
  • Statistical modeling and backtesting experience (time series methods, classical statistics, validation, diagnostics).
  • Experience with cloud computing (AWS, Databricks) for operationalizing models/workflows (containerization, orchestration, CI/CD for analytics).
  • Exceptional communication (written & verbal): able to explain complex models in accessible terms and influence senior stakeholders.
  • A “do‑anything” owner’s mindset; creative, pragmatic, and willing to challenge current paradigms.
  • Undergraduate or Masters in Mathematics, Engineering, Computer Science, or related quantitative field; or equivalent practical track record.
  • 5+ years in financial services in quantitative/technical roles with measurable impact on pricing, resource optimization, or product profitability.
  • Strong market literacy across securities financing products (Agency Lending, Prime Brokerage—physical & synthetic, Repo/Secured Financing)
  • 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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