Main takeaways:
- Financial technology companies are very different from other software companies
- There are unique aspects of financial technology markets, organizations, and products, we’ll discuss the differences at each level,
- Followed by an Ask Me Anything session about Product Management in general
31. Summary
● Huge opportunity to make big difference in people’s lives
● Creativity required to differentiate a commoditized product
● Even more cross-functional role than being PM in other industries
● Regulatory oversight offers opportunities and challenges
● Very severe downside to manage when scaling
32. www.productschool.com
Part-time Product Management, Coding, Data Analytics, Digital
Marketing, UX Design and Product Leadership courses in San
Francisco, Silicon Valley, New York, Santa Monica, Los Angeles,
Austin, Boston, Boulder, Chicago, Denver, Orange County,
Seattle, Bellevue, Washington DC, Toronto, London and Online
Hinweis der Redaktion
Product leader for over 10 years
Led product teams for 12 person Series A startups to publicly traded companies
Primarily focused on high-engagement consumer software companies
HTML as middle school science project
Harvard computer lab
Websites for friends
Went to college for business school
Continued to learn to code with side projects
Began creating websites for businesses
Online lending company
Personal loans and student loans (both refinance and origination)
Did over $3B in originations last year
Own over 30% of SLR market
Fast Company named most innovative companies
No fees, ever (origination, extra payment, prepayment)
Flexible payment plan (whatever monthly amount you want, ability to skip a payment)
Consolidate multiple loans
Friendly, modern, mobile-first design
Earnest looks at:
Income
FICO score & credit history
Education
Employment
Retirement & investments
Saving and Spending Patterns
“Fintech” is a very broad term that encompasses a LOT
Includes everything from real estate to wealth management to crypto to accounting to payments to insurance to payroll to lending
250 companies across 19 categories
Doesn’t even include smaller players or larger incumbents
This discussion focuses on consumer lending
This talk will focus on Earnest, or what it’s like to be a PM at a consumer lending company
Absolutely massive
There is $14T outstanding consumer debt in the US
Most of that is mortgages, but there is $4T in non-housing consumer debt (student loans, auto loans, personal loans, etc.)
Alternative lending (non-bank) did $55B in transactions in 2018
Growing 35% YoY
Two sided market
Borrowers and capital markets
Have to sell innovation on both sides (does cap markets believe our pricing?)
Commoditized product
Money is epitome of commodity product
Have to come up with new ways to compete other than price
Because of commoditized product, little differentiation, and thin margins. Scale becomes key.
Complicated domain
Steep learning curve
Opportunity to take master’s class in finance industry
Huge dependency on many stakeholders
Lots of collaboration and hugely cross-functional role (credit ops, treasury ops, portfolio risk, etc.)
There’s also a lot for the company to get right to survive (growth, pricing, fraud, risk, capital markets)
Finance controls key levers
Pricing in lending company, portfolio composition in robo-advisors
Product can be as amazing as possible, but if financials are wrong, no one uses
Cultural tension between “fin” and “tech”
Finance side of company often wants high predictability, very conservative
Tech side of company wants to be loose and agile, greater appetite for risk
Huge capital requirements
In addition to equity financing for business, debt financing for balance sheet
This is made harder because you’re also competing with large incumbent banks who have access to much more, cheaper capital
Really make a difference in people’s lives
Save clients $30k on average
NPS in high 70’s
Must scale carefully
Typical software model is huge up-front cost, then negligible incremental cost
As lending products scale you have real downside - risk, fraud, money loss
Therefore, must be more conservative in approach to scaling
Different set of metrics
Less focus on engagement and retention (when you have 4bps of defaults)
Fewer, bigger clients, you can watch each one individually (Fullstory) but experimentation may take longer
Product changes can be delicate
Highly regulated industry, close scrutiny by legal
Very sensitive personal information
Careful about what data is being sent where, what teams have access to data,
“Faking” things can be tricky
Hard to dogfood a product, test on production, and perform competitive research