Do fintech startups have technical challenges?

Airbnb / Other Seasonal
Nov 24, 2018 8 Comments

Looking at Coinbase, Affirm, Robinhood, Stripe, Wealthfront, Plaid, Addepar, etc...

Does these companies actually have technical challenges? Seems like their engineering work is mostly centered around business logic and application development.

This is fine, but it’s a far cry from real technical challenges like distributed systems and AI.

Is it worth going to these “hot” startups if there aren’t hard engineering problems?

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TOP 8 Comments
  • Facebook Hello worl
    Finance/fitnech definitely have hard engineering problems.

    I've built distributed systems for multiple financial firms.

    Most AI is just regression. Financial math is certainly as hard or harder, and includes plenty of distributed regression.
    Nov 24, 2018 0
  • Square lahk41
    Risk analysis, secure transaction input, scale...
    Nov 24, 2018 0
  • Amazon freemonad
    Depends what space you get into. Payment technologies, especially those involving International markets tend to be heavy on business logic and compliance related drudgery.
    Nov 24, 2018 0
  • Microsoft vector3
    Matching both sides of a trade to maximize your arbitrage position
    Nov 24, 2018 0
  • Vertivco / Eng
    FastPapuan

    Vertivco Eng

    PRE
    YouTube, American Bureau of Shipping, Facebook
    FastPapuanmore
    Time zones, unit conversions, laws, governments, etc.
    Nov 24, 2018 0
  • Compass / Eng
    FUPayMe

    Compass Eng

    PRE
    Google
    FUPayMemore
    Depends on what they are trying to tackle. Fin tech is very broad. I’m currently starting a fintech company and we primarily will be handling business logic for the first 2 yrs then tackling more advanced problems with AI years 3+
    Nov 24, 2018 0
  • Addepar Kaisa
    Addepar’s had lots of really tough distributed/scaling problems to solve as they’ve signed more and more clients bringing in an enormous amount of data into the platform in a short period of time.
    Dec 12, 2018 0
  • Affirm sTNW87
    As evidenced by the fact that data engineering/ model performance is our biggest bottleneck right now, I’d say yes.

    Guess it matters what you hope to get out of coming to a “hot” startup, though .
    Dec 5, 2018 0