Alexander Statnikov

Head of Machine Learning

Affirm

Mar 2026 - Current (6 months)

CEO & Co-Founder

Crosswise Risk Management

Aug 2024 - Current (2 years 1 month)

Building the AI for Risk & Compliance: www.crosswise.io

Co-founder & CEO

Crosswise Risk Management

Aug 2024 - Jun 2026 (1 year 11 months)

• Co-founded Crosswise, an AI risk & compliance platform in use by fintechs and banks (www.crosswise.io); took the company from inception to early product–market fit. • Completed a planned CEO transition; now serve as a non-operational Board Director.

Advisory Board Member

Bandwidth Inc

Nov 2022 - Mar 2024 (1 year 5 months)

Advisory Board Member (part-time; concurrent with Square)

Bandwidth Inc

Nov 2022 - Feb 2024 (1 year 4 months)

Advisory Board Member

Amplitude

Mar 2022 - Mar 2024 (2 years 1 month)

Advisory Board Member (part-time; concurrent with Square)

Amplitude

Mar 2022 - Feb 2024 (2 years)

General Manager, Head of AI & Growth Platform

Square

Apr 2020 - Mar 2024 (4 years)

• Built & led a 350+ cross-functional organization across engineering, data/AI, product, design, and marketing—owning Square’s AI/data applications and infrastructure, the Growth Platform that scaled AI-driven customer experiences and growth execution, and core customer experiences (Homepage, Onboarding, Square Dashboard, Back Office App). • Led end-to-end delivery of Square’s highest-traffic customer journeys, applying AI-driven personalization and decisioning to improve acquisition, activation, retention, and monetization. • Established modern data and AI foundations, including an in-house Customer Data Platform and integrated CRM, enabling a unified 360° customer view for targeting, measurement, and rapid iteration—including generative A

Head of Automation (AI & Data), Growth Platform

Square

Apr 2020 - Feb 2022 (1 year 11 months)

As the Head of Automation within the Growth Platform team, I took the lead in pioneering AI, automation, and the democratization of data, while directing a dynamic full-stack team. My work in developing critical innovations has been integral to enhancing Square's Growth Platform, reshaping the company's strategy towards AI, data, and automation, and significantly improving operational efficiency.

Global Head of Data Science and Machine Learning

SoFi

Jan 2018 - Dec 2020 (3 years)

• Built & led SoFi’s central AI & Data organization (100+) across data science, AI/ML, analytics, business insights, and data engineering; set the enterprise data/AI strategy and operating model as a member of the CEO’s Executive Staff. • Stood up next-generation cloud data + ML infrastructure: built an enterprise data lake from scratch, modernized pipelines and the data warehouse, and launched a core ML/analytics platform—foundational for SoFi’s banking charter and public-company readiness. • Delivered ~$50M in annual adjusted revenue impact through AI/ML across pricing, marketing efficiency, credit/fraud risk management, and customer operations.

Vice President, Head of Machine Learning Solutions

American Express

Jan 2014 - Dec 2018 (5 years)

• Led end-to-end AI/ML and big-data initiatives across risk management and marketing. • Shipped 20+ production ML models and decisioning solutions, delivering $200M+ incremental annual pre-tax income through improved risk outcomes and targeted marketing. • Built ML enablement capabilities across data creation, evaluation, feature engineering, and model development—adopted by 300+ data scientists and cutting modeling effort 50–90% while improving performance. • Re-architected and scaled the ML platform for terabyte-scale workloads; migrated modeling capabilities to AWS to increase scale, modeling speed, and agility in production. • Served as AI subject-matter expert for AmEx Ventures, supporting technical diligence, investment decisions, and

Vice President, Digital Modeling and Machine Learning

American Express

Jan 2014 - Dec 2016 (3 years)

Led teams to develop models and/or data science solutions for digital acquisition/response modeling/offer personalization, new accounts underwriting, credit risk management and fraud prevention. Oversaw the Machine Learning workgroup that conducts cutting-edge research and strengthens knowledge and education in machine learning and data science.

Co-Founder & Head of Data Science (part-time; concurrent with NYU)

Rational Intelligence

Jan 2012 - Dec 2014 (3 years)

• Co-founded the company and co-developed the core ML technology for predictive coding; built and led a 7-person data science team. • Delivered predictive coding and analytics solutions for ediscovery, governance, regulatory compliance, and document management to major law firms and Fortune 100 companies; closed contracts totaling $2M. • Led executive-facing technical sales, customer presentations, and solution design engagements.

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Co-Founder and Head of Data Science

Rational Healthcare Intelligence

Jan 2012 - Dec 2014 (3 years)

• Co-founded the company and co-developed core machine learning-based solutions for predicting outcomes in emergency rooms. • Built and led a data science team consisting of 5 members. • Interacted with major hospital leaders in the Tri-State Area, led technical sales conversations, and secured a contract worth $XM to build a solution for a major NY State hospital.

Co-Founder & Head of Data Science

Rational Intelligence

Jan 2012 - Dec 2014 (3 years)

• Co-founded the company and co-developed the core machine learning-based technology for predictive coding. Built and led a data science team consisting of 7 members. • Delivered predictive coding and data analytics solutions for eDiscovery, governance, regulatory compliance, and document management purposes to major law firms and Fortune 100 companies in the New York City area, with a total contract value of $XM. • Interacted with executive-level customers and led technical sales presentations.

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Co-Founder & Head of Data Science (part-time; concurrent with NYU)

Rational Healthcare Intelligence

Jan 2012 - Dec 2014 (3 years)

• Co-founded the company and co-developed machine learning solutions to predict emergency room outcomes; built & led a 5-person data science team. • Led hospital customer engagements across the Tri-State area, including technical sales and implementation planning; secured a $1M+ contract with a major NY hospital.

Professor of AI & Director of the Causal AI Lab

New York University

Jun 2009 - Aug 2014 (5 years 3 months)

• Founded, funded, and led the Causal AI Lab, building a research organization focused on causal AI and high-dimensional causal discovery. • Secured $35M in competitive research funding (NIH/NSF/VA) as PI/co-PI; delivered methods and systems applied across multiple research and operational projects. • Published 80 peer-reviewed papers and 6 books; mentored and trained the next generation of AI leaders. • Promoted to Associate Professor (2014).

Professor in AI & ML and Director of the Causal AI Lab

New York University

Jan 2009 - Dec 2014 (6 years)

• Served as a Professor at NYU, specializing in Artificial Intelligence and Machine Learning, with appointments across various academic departments and centers, including the Center for Health Informatics and Bioinformatics, the Department of Medicine, and the Center for Data Science. • Founded, funded and led the Causal AI Lab (Computational Causal Discovery Laboratory), focusing on developing methods and systems to decipher causality from high-dimensional data. • Held the role of Benchmarking Director at the Best Practices Integrative Informatics Consultation Service, responsible for benchmarking best practices in AI, ML, data science, and informatics. • Led and successfully completed dozens of research and operational projects in AI/ML,

Senior Data Scientist and Software Engineer

Vanderbilt University Medical Center

Jan 2002 - Dec 2009 (8 years)

• Designed and developed two software systems for automated development of supervised ML classification models from high-dimensional data. • Developed a software library implementing state-of-the-art causal discovery and variable/feature selection methods. This library had thousands of users world-wide. • Implemented from scratch, ported, and optimized 100+ machine learning, bioinformatics, and statistical algorithms using various software platforms and programming languages. • Executed large-scale computational causal discovery, feature/variable selection and supervised learning experiments on various high-dimensional datasets using high-performance computing systems.

Senior Data Scientist & Software Engineer

Vanderbilt University Medical Center

Jan 2002 - Dec 2009 (8 years)

• Designed and built two software systems that automated ML model development for high-dimensional data. • Developed and maintained a widely used software library for causal discovery and feature/variable selection, adopted by thousands of users worldwide. • Implemented, ported, and optimized 100+ machine learning, bioinformatics, and statistical algorithms across multiple platforms and programming languages. • Led large-scale causal discovery, feature selection, and supervised learning experiments on high-dimensional datasets using high-performance computing.

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Data Scientist

Zyxbio LLC

Jan 2001 - Dec 2002 (2 years)

• Developed neural-network models for drug absorption and contributed to the supporting software system. • Delivered professional services applying these models to a major use case for a leading pharmaceutical company.

Alexander Statnikov

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