Leveraging Data Science – From Fintech to TradFi with Christine Hurtubise

Tribe

About this event

From startups to traditional financial institutions, what are the biggest challenges in fintech and where is data science most impactful? Join VP of Product and Data Science at FIS Christine Hurtubise – formerly at fintech startups Orum and Stash – in conversation with Jaclyn Rice Nelson, co-founder of Tribe AI.

This talk will cover

  • An overview of data science trends across the fintech landscape
  • Challenges and learnings for data scientists – from working in fintech startups to large financial institutions
  • Building data science solutions to maximize impact
  • The most exciting places to apply data science – from risk management to financial modeling

Speakers

Jaclyn Rice Nelson, Co-founder @ Tribe AI


Jaclyn Rice Nelson spent the majority of her career at Google partnering with enterprise companies and incubating new products. She was a founding member of the growth team at CapitalG, Alphabet’s growth equity firm, where she advised growth-stage tech companies like Airbnb and Stripe on scaling their technical infrastructure, data security, and leveraging machine learning for growth. In 2019, Jackie and Noah Gale founded Tribe AI to make AI more accessible to companies of all sizes and industries, while also building a new type of career path for top technical talent that emphasizes specialization and freedom. (Read more about it here.) Now, Tribe AI is a highly selective community of 150 machine learning engineers, researchers, and data scientists from industry leaders like Google, Tesla, and Netflix, helping companies solve their toughest business problems using ML.

Christine Hurtubise, VP of Product Management and Data Science @ FIS


Christine Hurtubise is currently VP of Product Management and Data Science at FIS, a multinational corporation offering financial technology solutions in three segments: Merchant, Banking, and Capital Markets. She previously led and started the Data Science departments at Stash Invest, a series G personal finance app and Orum.io, a series B payments infrastructure platform. Christine also held leadership roles in the Risk department at OnDeck Capital, where the team used machine learning for automated SMB lending, portfolio management, and allowance setting. She holds a degree in Mathematics from the University of Pennsylvania, magna cum laude.

About the Tribe + Scale Applied AI Series

Want more insights? Join Tribe AI and Scale AI for Applied AI: a series of conversations around how ML is accelerating change across industries. You’ll hear from technical experts at top companies on how they’re using data to drive impact, operationalizing ML solutions, and accelerating adoption across fintech, healthcare, investing, media, and more.

Related Stories

Applied AI

AI Consulting in Healthcare: The Complete Guide

Applied AI

No labels are all you need – how to build NLP models using little to no annotated data

Applied AI

AI for Cybersecurity: How Online Safety is Enhanced by Artificial Intelligence

Applied AI

AI and Predictive Analytics in the Cryptocurrency Market

Applied AI

An Actionable Guide to Conversational AI for Customer Service

Applied AI

AI Consulting in Finance: Benefits, Types, and What to Consider

Applied AI

How data science drives value for private equity from deal sourcing to post-investment data assets

Applied AI

How the U.S. can accelerate AI adoption: Tribe AI + U.S. Department of State

Applied AI

Advanced AI Analytics: Strategies, Types and Best Practices

Applied AI

Thoughts from AWS re:Invent

Applied AI

AI in Private Equity: A Guide to Smarter Investing

Applied AI

How to Evaluate Generative AI Opportunities – A Framework for VCs

Applied AI

How 3 Companies Automated Manual Processes Using NLP

Applied AI

How to Measure ROI on AI Investments

Applied AI

Key Generative AI Use Cases From 10 Industries

Applied AI

Scalability in AI Projects: Strategies, Types & Challenges

Applied AI

Welcome to Tribe House New York 👋

Applied AI

AI and Predictive Analytics in Investment

Applied AI

8 Prerequisites for AI Transformation in Insurance Industry

Applied AI

Machine Learning in Healthcare: 7 real-world use cases

Applied AI

Using data to drive private equity with Drew Conway

Applied AI

AI Implementation: Ultimate Guide for Any Industry

Applied AI

AI Consulting in Insurance Industry: Key Considerations for 2024 and Beyond

Applied AI

A Deep Dive Into Machine Learning Consulting: Case Studies and FAQs

Applied AI

How to build a highly effective data science program

Applied AI

7 Prerequisites for AI Tranformation in Healthcare Industry

Applied AI

What our community of 200+ ML engineers and data scientist is reading now

Applied AI

AI in Customer Relationship Management

Applied AI

Understanding MLOps: Key Components, Benefits, and Risks

Applied AI

Tribe's First Fundraise

Applied AI

Tribe welcomes data science legend Drew Conway as first advisor 🎉

Applied AI

Announcing Tribe AI’s new CRO!

Applied AI

5 machine learning engineers predict the future of self-driving

Applied AI

Write Smarter, Not Harder: AI-Powered Prompts for Every Product Manager

Applied AI

Making the moonshot real – what we can learn from a CTO using ML to transform drug discovery

Applied AI

10 ways to succeed at ML according to the data superstars

Applied AI

A Guide to AI in Insurance: Use Cases, Examples, and Statistics

Applied AI

What the OpenAI Drama Taught us About Enterprise AI

Applied AI

3 things we learned building Tribe and why project-based work will change AI

Applied AI

How AI for Fraud Detection in Finance Bolsters Trust in Fintech Products

Applied AI

AI in Construction: How to Optimize Project Management and Reducing Costs

Applied AI

AI-Driven Digital Transformation

Applied AI

Everything you need to know about generative AI

Applied AI

AI Diagnostics in Healthcare: How Artificial Intelligence Streamlines Patient Care

Applied AI

A primer on generative models for music production

Applied AI

8 Ways AI for Healthcare Is Revolutionizing the Industry

Applied AI

AI in Banking and Finance: Is It Worth The Risk? (TL;DR: Yes.)

Applied AI

Self-Hosting Llama 3.1 405B (FP8): Bringing Superintelligence In-House

Applied AI

Navigating the Generative AI Landscape: Opportunities and Challenges for Investors

Applied AI

The Secret to Successful Enterprise RAG Solutions

Applied AI

AI in Construction in 2023: Use Cases and Benefits

Applied AI

Why do businesses fail at machine learning?

Applied AI

How to Build a Data-Driven Culture With AI in 6 Steps

Applied AI

Key Takeaways from Tribe AI’s LLM Hackathon

Applied AI

AI Security: How to Use AI to Ensure Data Privacy in Finance Sector

Applied AI

How to Enhance Data Privacy with AI

Get started with Tribe

Companies

Find the right AI experts for you

Talent

Join the top AI talent network

Close
Tribe