Share

Fintech Impact
Emerging Trends in Fintech with Dr. Stephen Taylor | E187
Ep. 187
•
In today’s episode, Jason Pereira talks to Dr. Stephen Taylor - Assistant Professor of Finance at New Jersey Institute of Technology. He has worked in the financial services industry at Bloomberg, MIT Lincoln Laboratory, Morgan Stanley, and Tudor Investment Corporation. In this podcast, they will discuss a couple of emerging trends, specifically in fintech and fintech education.
Episode Highlights:
- 00.35: Steven is in the line of teaching for the past four years. He is from a bit of an orthodox ethnic background. He has gained a lot of practical experience in the past while working with Morgan Stanley, Bloomberg etc.
- 1.09 Jason curiously asks Steven, “What led you to teaching?”
- 1.29: Steven talks about his career journey and shares about his knack for academia from a very early stage in life.
- 1.57: Jason says, “Today we are going to talk about emerging fintech trends.” He asks Steven to share the three big emerging fintech trends.
- 2.11: Steven shares his insightful views of the big trends in the fintech trends.
- 2.43: He says peer-to-peer insurance is an area that’s just starting to expand; second on his list is asset management. Third, in his list is digital sharing of training strategies through various platforms.
- 3.10: Steven says his views are more from theoretical design aspects; he does not know much about the regulation side.
- 3.15: While giving an example, Steven says, “Suppose within your immediate family you implicitly insure yourself. You have an accident, and your father might help you out with $200. This approach is a lot more cost-effective rather than going through the claims process where there are half a dozen people involved and overhead costs.” He shares his concern that “How do you formalize the insurance in a way that it is more than just family and friends’ agreement?”
- 4.06: Jason says, “People are often shocked and amazed by the size of the insurance industry in general. When you think about how many people are employed, by how many people specifically on the distribution side is the actual underwriting, and eventually called reinsurance space.”
- 4.38: Jason further adds, “Reinsurance space isn’t that big really, but this is a distribution onerous.” He says that “I could see there is a tremendous amount of overhead.”
- 4.40: Jason asks Steven, “In the theoretical context, how does peer to peer software that is just solely through digital distribution and lack of need for sales agents? and how would this product be discovered and basically applied or opted into by both sides of the transaction?”
- 5.00: Steven says he might like ideal visualization because it won’t manifest itself for decades to come or anything remotely close to it is. He says, “I would like to see it go to more of a setting where you get matched with people, you have similar risk profiles as yourself, and this could be done like pulling out a questionnaire survey.”
- 7.48: Talking about the digital investment side, Jason says, “We have the big waves of the Robo advisors coming in, threatening too deep to destroy the traditional models.”
- 10.14: Steven says, “I would like to see what institutional hedge fund investor is five years ago to the day where there are certain limitations, but now you’re going to have hundreds of different opportunities to get into eventually, and it’s going to be a better space for everyone.”
- 11.13 Jason inquires, “We are talking about a pile of stock because of XYZ and do the short squeeze. But you’re talking about something far more sophisticated, right? You’re talking about like no is sharing the quantitative algorithms, and what not for trading is that the uppercase?”
- 11.34: Steven affirms, “I think the prototype for this right now is a platform called QuantConnect. they provide data infrastructure they provide back testing infrastructure, and you basically just cut up your algorithm in Python, and they’ll give you performance measures.”
- 12.28: Steven shares the challenges and competition faced by students in the Fintech industry. He says, “By the time you finish school, you should be able to code; knowing excel is just not enough.”
- 15.07: While providing an explanation for what programming is, Steven says, “If you learn to program well, you can automate basically all the tedious aspects of your job and then focus on the ones that really require human and electrical thoughts.”
- 17.18: Steven says the biggest challenge in terms of getting a job for a student is to convince your hiring manager that you’re able to take a deeper dive into ideas, and you’re able to take on projects and ownership around them.
3 Key Points:
- Jason and Steven are going to talk about emerging fintech trends.
- While talking about the challenges in the Fintech industry, Jason inquires, “How is educating people in finance changed in light of the proliferation of fintech?
- Steven talks in detail about the one thing that he would like to change in the Fintech industry; that is simpler regulation.
Tweetable Quotes:
- “The more transparency you add to any system, the better the overall costs go down.” - Stephen Taylor
- “Technology and software are eating the world, and they’re slowly starting to eat the world of financial education as well.” - Jason Pereira
- “I always love people concept of proficiency, and my favorite question in the interview is give me an example of the most complex macro we’ve ever built. I always get a blank stare.” - Jason Pereira
Resources Mentioned:
- Facebook – Jason Pereira’s Facebook
- LinkedIn – Jason Pereira’s LinkedIn
- Woodgate.com – Sponsor
- LinkedIn – Jason Pereira’s LinkedIn
- Stephen Taylor: Website
- Podcast Editing
More episodes
View all episodes

446. DeepVest with Toby Wade | E446
25:23||Ep. 446In this episode of FinTech Impact, Jason Pereira sits down with Dr. Toby Wade, CEO of DeepVest, to explore how wealth management firms can leverage AI without worrying about false information or incorrect math. Wade explains how DeepVest’s "hallucination-free" AI stack uses pre-coded, deterministic calculations for structured financial data, ensuring the system returns exact portfolio analytics and refuses to guess unsupported numbers. Listeners will learn how DeepVest evolved from natural-language backtesting into a complete advisor platform that accelerates proposal generation, portfolio stress-testing, and meeting prep. By integrating directly with existing CRMs and custodians, the platform helps advisors win new business and scale AUM without taking on the role of a custodian or trading desk. Give this episode a listen to discover how deterministic AI is giving wealth managers institutional-grade analytics without the risk of hallucinations.Episode Highlights:00:00 Welcome to Fintech Impact00:37 What DeepVest Does00:57 Origin Story and Focus01:56 Deterministic Analytics Engine04:25 Why LLMs Hallucinate07:04 Expanding Into Proposals08:41 All In One Advisor Platform10:15 Data Context and Guardrails14:34 Real World Advisor Wins18:33 Future Butler Service Vision19:59 Where DeepVest Wont Play21:20 Rapid Tech Adoption Wish23:23 Startup Challenges and Wrap24:39 Closing and Sponsor MessageResources:Facebook – Jason Pereira's FacebookLinkedIn – Jason Pereira's LinkedInWoodgate.com – SponsorDeepVestLinkedIn - Toby Wade’s LinkedIn
445. Launch Lemonade with Cien Solon | E445
30:55||Ep. 445In this episode of FinTech Impact, Jason Pereira sits down with Cien Solon, founder of Launch Lemonade, to explore how domain experts can build custom AI tools without writing code. Solon explains how the platform acts as an AI marketplace, allowing industry experts to package their knowledge into specialized AI "agents" that businesses can safely deploy.The conversation highlights how Launch Lemonade solves low corporate AI adoption by providing a secure, audit-friendly environment that supports over 100 language models. By combining flexible model options with natural-language workflow tools, the platform allows regulated businesses to automate complex tasks while ensuring complete data privacy and compliance.Be sure to give this episode a listen to discover how custom AI agents are helping experts monetize their knowledge and giving businesses a safer way to adopt AI.Episode Highlights:00:00 Welcome and Guest Intro00:30 What Launch Lemonade Does01:12 Origin Story and Branding02:24 Why Generic AI Fails04:15 Expert Built Agents and Security05:50 Defining Agents and Harnesses08:38 Multi Model Strategy and Costs16:13 Building and Running Workflows18:41 Customers and Use Cases21:46 Roadmap Payments and Collaboration25:00 Founder Q and A Wrap Up29:55 Final Thoughts and OutroResources:Facebook – Jason Pereira's FacebookLinkedIn – Jason Pereira's LinkedInWoodgate.com – SponsorLaunch LemonadeLinkedIn - Cien Solon’s LinkedIn
444. Investcloud with Boris Rankov | E444
26:30||Ep. 444Connecting fragmented advisor data into a unified, AI-driven workflow is the central theme of this episode, as Jason Pereira sits down with Boris Rankov, Head of AI for Wealth at InvestCloud. Rankov breaks down how InvestCloud—a wealthtech giant supporting $8 trillion in assets—is evolving its SMART AI and PM Plus capabilities to make wealth management more accessible and efficient.Listeners will get an inside look at how InvestCloud builds secure, enterprise-grade AI using semantic layers, guardrails, and deterministic tools to guarantee accuracy in regulated markets. Rankov highlights how these agent-orchestrated workflows simplify advisor operations by surfacing real-time insights, automating meeting prep and CRM follow-ups, and expanding research access—all while keeping human advisors firmly in the loop to maintain client trust.Be sure to give this episode a listen to discover how enterprise AI is reshaping advisor workflows and laying the groundwork to democratize wealth management.Episode Highlights:00:00 Welcome to Fintech Impact00:36 Meet InvestCloud01:18 SMART Platform Flywheel02:37 Adapting to GenAI04:52 Semantic Layer and Data05:27 Reliability and Eval Harness07:42 Agent Orchestration Explained10:47 Validation and Release Testing17:51 Advisor Wins and Workflow20:05 Client Portal and Trust21:35 Rapid Fire Questions25:36 Closing and SponsorResources:Facebook – Jason Pereira's FacebookLinkedIn – Jason Pereira's LinkedInWoodgate.com – SponsorInvestCloudLinkedIn - Boris Rankov’s LinkedIn
443. Aegis AI & Analytics with Bruno Texeira | E443
27:20||Ep. 443Host Jason Pereira interviews Bruno Teixeira, founder of Aegis AI Analytics, about helping mid-sized firms strategize and implement AI in workflows. Teixeira, with 20 years in analytics across banks in Brazil and Canada and experience on CPP Investments’ gen AI team, explains that smaller firms can adopt AI faster due to less bureaucracy but must avoid treating AI like a “genie” or automating broken processes. He emphasizes change management, hands-on enablement (hackathons, office hours, champions), and aligning workflow and incentives rather than simply distributing tools like Copilot. Success should be measured by meaningful productivity and output gains, not prompt counts, using team-appropriate metrics and incremental automation targets (e.g., reducing validation work hours). He advises not to wait for new frontier models and to improve outcomes through clearer context and reverse-engineering desired outputs.Episode Highlights:00:00 Welcome and Guest Intro00:31 Bruno’s Background in AI02:28 Why Mid-Sized Firms Struggle04:21 Picking the Right Use Case06:09 AI and the Workforce Reality08:47 Adoption Programs That Work10:10 Hands-On Training and Champions12:45 Deployment Checklist and Measurement14:39 KPIs and Automation ROI16:44 Common Pitfalls and Prompting21:58 Getting Started and Final Q&A26:33 Wrap-Up and Sponsor MessageResources:Facebook – Jason Pereira's FacebookLinkedIn – Jason Pereira's LinkedInWoodgate.com – SponsorAegis AI & AnalyticsLinkedIn - Bruno Texeira’s LinkedIn
442. Flourish with Max Lane | E442
27:41||Ep. 442Host Jason Pereira interviews Max Lane, CEO of Flourish, a wealth tech platform aiming to bring private bank-like banking and lending experiences to independent RIAs. Lane explains Flourish’s origins in 2017 out of a New York asset manager serving RIAs, launching Flourish Cash in 2018 and recently Flourish Lending for residential mortgages and refinancing. He describes how advisors use Flourish Cash to bring held-away client cash into view, offering a single 3.25% APY, elevated FDIC pass-through insurance via 40+ program banks (up to $7.5M individual, $15M joint), and advisor tools like “Notable Transfers” for planning opportunities. Flourish Lending provides advisor-centric origination, rate scanning, dedicated loan officers, and refi monitoring alerts to help retain clients and compete with private banks’ relationship pricing; monetization comes from cash spread and mortgage commissions.Episode Highlights:00:00 Welcome and Guest Intro00:19 What Flourish Does00:50 Origin Story and Products02:35 Why Advisors Need Banking03:47 Cash and Lending Value07:53 Cash Balances Reality Check09:44 Flourish Cash Workflow13:50 Flourish Lending Workflow18:24 How Flourish Makes Money20:38 FDIC Coverage Explained22:54 Three Closing Questions26:38 Wrap Up and Call to ActionResources:Facebook – Jason Pereira's FacebookLinkedIn – Jason Pereira's LinkedInWoodgate.com – SponsorFlourishLinkedIn - Max Lane’s LinkedIn
441. Dispatch with Rob Nance | E441
25:54||Ep. 441Eliminating repetitive paperwork is the driving force behind Dispatch, a platform acting as a neutral data translation layer—a "Plaid for wealth management." CEO Rob Nance explains how Dispatch solves the industry's biggest operational headache by automatically syncing client data across CRMs, custodians, and financial planning software without requiring firms to replace their existing tech stack.By building a standardized data connection, the platform streamlines "revenue-critical" moments like digital account opening and advisor transitions—highlighted by a recent case where a firm migrated $500 million and 3,300 accounts in just 2.5 weeks. As Dispatch expands its deep integrations and opens its API to other fintechs, it aims to eliminate redundant data entry, reduce form errors, and help wealth management practices unify their operations.Give this episode a listen to discover how modern data layers are eliminating redundant data entry and unifying wealth management practices.Episode Highlights:00:00 Welcome and Guest Intro00:34 Dispatch Origin Story01:06 Revenue Critical Data Moments03:37 Client Data Focus and Planning05:06 Plaid for Wealth Management06:34 Standardization and Translation Layer09:28 Network Effects and Deep Integrations13:55 Neutral Pipes in an AI OS Race18:03 Next Frontier Advisor Transitions19:44 Transition Complexity and Case Study22:06 Rapid Fire Closing Questions25:07 Wrap Up and Sponsor MessageResources:Facebook – Jason Pereira's FacebookLinkedIn – Jason Pereira's LinkedInWoodgate.com – SponsorDispatchLinkedIn - Rob Nance’s LinkedIn
440. Avantos with Bassam Chaptini | E440
22:03||Ep. 440What happens after a client signs on the dotted line? In this episode, Jason Pereira sits down with Bassam Chaptini, co-founder of Avantos, to dive into an AI platform tackling the messy administrative gap of wealth management—from onboarding to daily servicing. Using a "knowledge graph" to map relationships across multiple systems, Avantos deploys smart AI agents to fill out custodian paperwork and execute routine tasks, keeping human advisors firmly in control for final approvals.Instead of forcing firms through painful data migrations, Avantos syncs with existing software and pushes live updates everywhere at once. Backed by heavyweights like Vanguard, SEI, and Mercer Advisors, the platform is standardizing custodian workflows and preparing to bring its time-saving automation to insurance and banking next.If you’re a wealth management leader looking to kill post-onboarding paperwork and streamline your operations, you'll want to add this conversation to your queue.Episode Highlights:00:00 Welcome and Guest Intro00:31 What Avantos Does01:37 Why Client Onboarding Is Hard04:02 Knowledge Graph Approach05:13 No Migration and Unified Onboarding07:58 Traction and Design Partners09:22 Agentic AI With Context13:18 Relationship Intelligence Layer15:47 Servicing Platform Integrations17:44 Roadmap Multi-Product Future20:32 Closing Thoughts and Wrap Up21:15 Outro and Sponsor MessageResources:Facebook – Jason Pereira's FacebookLinkedIn – Jason Pereira's LinkedInWoodgate.com – SponsorAvantosLinkedIn - Bassam Chaptini’s LinkedIn
439. NARSSA with Martha Shedden & Ted Rosedale | E439
29:59||Ep. 439Host Jason Pereira sits down with Martha Shedden and Ted Rosedale from the National Association of Registered Social Security Analysts (NARSSA) to explain why generic online Social Security calculators often fall short. They break down why Social Security optimization is a complex, high-stakes decision—especially for couples, widows, and divorcees—where simple estimates miss key variables like spousal benefits, taxation, and life expectancy.To solve this, NARSSA pairs accredited advisor education with its RSSA Roadmap software, a tool that directly imports official earnings records to build personalized, visual reports. The platform models complex interactions like survivor benefits and required minimum distributions (RMDs), helping advisors ensure their clients don't leave tens of thousands of dollars unclaimed.This episode is a must-listen for financial advisors and retirement planners looking to master Social Security optimization and uncover hidden value for their clients.Episode Highlights:00:00 Welcome and Guests00:35 What NRSSA Does01:35 How NRSSA Started02:51 Why Social Security Matters04:17 Beyond Simple Calculators06:14 Where SSA Estimates Fail07:10 Key Claiming Decisions09:12 Longevity and Timing11:23 Handling Early Claim Fears13:40 Survivor Benefit Strategies17:27 Holistic Planning Impacts19:13 Roadmap Software Walkthrough21:07 Specialist vs General Tools22:49 Rapid Fire Closing Questions29:09 Wrap Up and SponsorResources:Facebook – Jason Pereira's FacebookLinkedIn – Jason Pereira's LinkedInWoodgate.com – SponsorNARSSALinkedIn - Martha Shedden’s LinkedInLinkedIn - Ted Rosedale’s LinkedIn
438. Capgemini with Dominic Benson and Charles Dally | E438
28:47||Ep. 438Host Jason Pereira sits down with Capgemini’s Charles Dally and Dominic Benson to break down the GENIUS Act, the landmark federal law establishing the first regulatory framework for U.S. stablecoins. Unlike traditional cryptocurrencies, stablecoins are digital dollars pegged 1:1 to fiat currency. By forcing issuers to back their tokens 1:1 with high-quality liquid reserves and pass regular audits, this legislation clears up massive regulatory uncertainty and opens the door for mainstream, institutional adoption. The conversation explores how stablecoins will shift from a niche crypto asset into an "invisible" infrastructure layer driving 24/7 real-time global payments. Dally and Benson explain how this digital money movement bypasses traditional banking bottlenecks, cutting cross-border fees and paving the way for AI-driven automated operations. While banks face new competition and infrastructure costs, the ultimate shift will likely mean faster, cheaper, and more inclusive financial services for regular consumers.This episode is a must-listen for fintech professionals, bank executives, and corporate treasury leaders who want to understand how newly legalized digital dollars will fundamentally change global payments.Episode Highlights:00:00 Welcome and Guests00:39 Capgemini Overview02:16 What Are Stablecoins04:27 Genius Act Explained08:12 Bank Impacts and Use Cases11:38 Efficiency and Cross-Border Effects13:58 Adoption and Implementation Challenges20:06 Compliance Costs and Regulation Outlook21:14 Ten-Year Predictions24:51 Blue Sky Wishes and Inclusion27:47 Wrap Up and SponsorResources:Facebook – Jason Pereira's FacebookLinkedIn – Jason Pereira's LinkedInWoodgate.com – SponsorCapgeminiLinkedIn - Dominic Benson’s LinkedInLinkedIn - Charles Dally’s LinkedIn