Ryan Van Slyke
AVP - Enterprise Data Analytics/Automation/AI Strategy @ State Street
About
Hi, I’m Ryan — an investor and strategist working at the intersection of capital, innovation, and impact. I’ve led and supported $14B+ in investments across venture, credit, and climate finance, with experience spanning fintech, structured bonds, ESG strategy, and global development. My work draws from a cross-sector foundation, including roles at State Street, Calvert Impact, the Duke University Endowment, and Booz Allen Hamilton. I’m most energized when translating complexity into action — whether shaping an investment thesis, aligning stakeholders around strategy, or building partnerships that deliver long-term value. I show up the same way in every room: curious, kind, collaborative, decisive, and accountable for outcomes. I care deeply about thoughtful capital allocation, inclusive decision-making, and scaling solutions that matter. I'm always learning and looking to grow alongside others committed to that same pursuit.
United States
Greater Boston
Financial Services
Artificial Intelligence (AI), Fixed-Income Investing, Financial Analysis, Sustainability, Leadership, Financial Modeling, Data Science, International Development, Policy Analysis, Impact Investing, Startups, Product Management, Finance, Cross-functional Team Leadership, Business Development, Climate Change Mitigation, Quantitative Research, Social Impact Measurement, ESG , Performance Management
Experience

AVP - Fixed Income Trading
Boston, Massachusetts, United States
Credit Portfolio Management: Co-managed $450M allocation within $13B global credit portfolio, spanning investment-grade corporates, structured finance, and credit instruments with focus on DV01 minimization and yield optimization

Engagement Manager
Impact Investment Leadership: Led cross-functional team of 6 colleagues in designing impact measurement capabilities for $400M Cut Carbon Note (Green Bond of CPACE loans), creating investment framework that effectively communicated decarbonization impact to institutional investors Alternative Credit Analysis: Analyzed underlying real estate, finance, and energy efficiency data to assess investment quality and environmental outcomes of CPACE loan portfolio backing the green bond Institutional Investor Relations: Developed investor communications and impact reporting aligned with ICMA/CBI Green Bond Principles to support institutional investor confidence and capital inflows

Associate - Analytics + Product + Growth Strategist
Washington DC-Baltimore Area
Strategic Advisory: Led cross-functional teams on $250M+ strategic initiatives, developing comprehensive risk management frameworks and data-driven decision support systems Business Development: Influenced C-suite executives across four large organizations to adopt transformation solutions, securing $195M in new business through strategic relationship building Risk Assessment: Evaluated program effectiveness and institutional risk for $8.4B organization, providing tailored recommendations for strategic implementation I regularly shared my technical expertise on climate analytics, data science for policy implementation, and sustainability careers at conferences and universities across the U.S. and Canada. Received Booz Allen's Values in Practice (VIP) Award, the firm's highest honor, in 2021.

Associate - ESG Strategy and Operations
Boston, Massachusetts, United States
ESG Investment Integration: Enhanced investment decision-making across $4.7T portfolio through climate risk assessment and ESG data integration, supporting capital allocation decisions for institutional clients Portfolio Risk Management: Implemented TCFD and UNPRI frameworks to identify climate-related investment risks and opportunities across global equity and fixed income portfolios

Equity Research Analyst
Raleigh-Durham-Chapel Hill Area
Equity Research: Conducted bottom-up fundamental analysis on industrials sector with focus on decarbonization themes, generating buy recommendation delivering 22% ROI Portfolio Construction: Contributed to ESG-integrated investment strategy and long-term capital allocation decisions for university endowment Investment Committee Support: Prepared detailed investment memos and presentations supporting portfolio construction decisions

Research Associate
Syracuse, New York, United States
I authored more than 10 published research pieces on entrepreneurship and public management, directly shaping the scaling of 18 coordinated care PPP networks that have served over 48,000 clients across the United States. I also played a key role in advising the U.S. Department of Labor, contributing to an update of federal veteran transition curriculum for new readiness preparation for over 200,000 servicemembers each year.

Strategy Consultant
UN Development Program - Asia Hub (Bangkok, Thailand), 2020: Advised UNDP on strategically allocating resources and coordinating with UN agencies in implementing the UN’s COVID-19 response in 24 Asia-Pacific countries using market and policy analysis and stakeholder engagement. UNICEF USA (Washington, D.C., USA), 2019: Led urgent pro-bono consulting for UNICEF USA, optimizing donor engagement amid the child migration crisis on the U.S.-Mexico border through developing segmentation strategies and offering recommendations for effective fundraising campaigns. UN University - MERIT (Maastricht, The Netherlands), 2016: Analyzed public health, migration, and public safety data using R, identifying challenges faced by Syrian and Lebanese refugees in Central Europe. This analysis contributed to original research presented to the European Parliament, informing policy implementation regarding social determinants of health with member nations.

Research Assistant
Moscow, Russia
I developed recommendations on anti-corruption efforts to the Russian Ministry of Finance with original research on social service delivery, education policy, public-private partnerships (PPPs), and government contracting best practices from OECD countries in collaboration with Syracuse University faculty.
Education

Data Science Fundamentals
Completed a 60-hour, 10-week course on Data Science and Machine learning. The course taught how to manipulate and analyze large data sets in Python and make predictions using model techniques ultimately to make better informed business decisions. Course syllabus included the following topics: classification, regression, clustering, neural networks, decision trees, recommendation systems, and text analytics.
Ryan Van Slyke's Contact Information
Phone
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