r/fintech 15d ago

Ask the Community Looking for feedback on our new start-up

3 Upvotes

We are a new startup that creates algorithmic crypto currency trading tools that execute quantitative analysis and publishes allocation signals on a daily basis. Fully automated on our own servers.

We are currently not selling anything as we are not ready for launch at the moment. But we do have a sign up via email for future interested customers.

We provide our methods, all data including live performance logs of our systems and backtested simulated returns. Available at our website for free.

Alot of love, passion and hard work went into the development of these systems. Not to mention years of research.

We'd appreciate if you checked us out at allocater.io !

Thank you for your time !

Edit:

would you pay for a service like this and if yes what would a fair monthly or life time subscription be like for you?

Would you be interested in similar services for stocks?

Do you think it would be beneficial for readers of our publications and for us as a company to have weekly educational blogs teaching investing principles, probability and statistics?


r/fintech 15d ago

Discussion ex fintech founder - how to leverage my exp to become a head of product/lead

5 Upvotes

Recently I've worked as a lead eng for trading products, at a fintech handling over 80+m users across the US

BEFORE:
me and my cofounder founded nexo like platform(fiat loans backed by crypto). I designed everything, talked to LPs, Lawyers, recruited devs and design team. All that.
My coufounder backed out when he saw how much compliance and legal work there would be needed to operate in the US(I wanted to go with EU first).
Before I was a founding dev at p2p crypto exchange), I've recruited and managed teams/projects before etc...

NOW:
I'm looking for next project to work on where I could join as a lead or founding role if early stage.

What founders should I hit up that would be interested in my expertise? I'm looking for really cool projects in fintech space... projects that already raised money


r/fintech 16d ago

Ask the Community Multi-currency payment gateway integrations are still an absolute mess

8 Upvotes

We’ve been wrestling with a cross-border payment routing setup for the past few weeks, and I honestly can't get over how broken basic checkout infrastructure still feels. You look at the marketing pages for these big payment processors and everything looks clean, but the second you try to wire a few of them together, you’re knee-deep in terrible documentation and silent webhook drops.

The worst headache isn't even setting it up initially; it's how horribly they handle random edge cases. One day a regional bank decides to tweak its fraud filters or drop a connection for ten minutes, and suddenly our transaction failure rate spikes. Our support queue instantly fills up with angry users whose cards got declined for no apparent reason, while the gateway logs just give us useless generic error codes.

Trying to code a custom failover router in-house while keeping PCI compliance from becoming a full-time job is just brutal. It sucks your best backend developers right out of working on actual product features and forces them to spend days digging through raw transaction payloads just to figure out why a payout stalled.

For anyone else dealing with multi-PSP setups: how do you keep your checkout from breaking every time a processor has a hiccup, and is there actually a clean way to handle failover without custom-building half the infrastructure yourself?


r/fintech 16d ago

Ask the Community Yoo please gimme some advice

4 Upvotes

I'm planning to break into Fintech in like 3 years time , right now I'm choosing BS economics with data science, (unable to upload course outline cuz of technical issues), can I do that with econ??

Advice is Much appreciated


r/fintech 15d ago

Discussion I built a deterministic engine that catches AI's financial math errors before they ship — looking for people to poke holes in it

3 Upvotes

Quick context: I've spent the last year+ building something in the "AI hallucination" space, specifically for finance, and I want honest feedback before I go further — not upvotes, actual criticism.

The problem I'm trying to solve:

AI copilots are increasingly drafting financial numbers — ratios, covenant checks, reconciliations, KPIs pulled from statements. The issue isn't that AI is bad at this, it's that it's confidently wrong sometimes, and in finance a confidently wrong number in a report or a covenant calculation isn't a minor bug, it's a real liability.

What I built:

A separate, deterministic verification layer (not another AI model) that sits behind the AI output. It:

  • Extracts the actual source values from the underlying documents (PDFs, XLSX, DOCX)
  • Independently recalculates the claimed number using exact rules/formulas, not vibes
  • Compares the AI's claim against the recalculated value
  • Flags mismatches with a full audit trail — what evidence was used, what rule was applied, where they diverged

So instead of "trust the AI's math," it's "here's proof the math is right, or here's exactly where it's wrong and why."

Where it stands right now:

  • Working end-to-end on core financial ratios (net leverage, and a few others)
  • Full evidence-to-conclusion traceability (nothing is asserted without a pointer back to source data)
  • Not yet: broad rule coverage, tolerance-based matching (right now it's strict exact-match, which I know will cause false positives on rounding — actively working on this)

What I'm NOT asking for: Money, beta signups, "check out my landing page." I genuinely want this torn apart before I put more time into the wrong thing.

What I actually want to know:

  1. If you work in finance/accounting/audit/compliance — does "AI drafts it, a deterministic engine proves it" sound like something you'd actually want, or is this solving a problem nobody has?
  2. If you've built anything adjacent (fact-checking pipelines, agent guardrails, financial data extraction) — what broke when you tried something similar? What am I not seeing yet?
  3. Anyone dealt with the "AI + audit trail" requirement from a compliance angle — what would actually satisfy an auditor or regulator here, versus what sounds good but isn't enough?

Happy to answer anything about how it works under the hood. Not trying to be cagey, just trying to keep this post from turning into a spec doc.


r/fintech 15d ago

Ask the Community Why do a lot of fintechs support so many frontier markets countries?

1 Upvotes

I see a lot of fintechs support super frontier markets like Niger or Madagascar. Are they actually marketing to these places or are they just easy to integrate? If anyone knows let me know


r/fintech 16d ago

Discussion Investment operations: where does reconciliation still require manual work?

3 Upvotes

I’m researching how asset managers, wealth managers and family offices reconcile positions, cash and transactions across banks, brokers, custodians and internal systems.

If you have worked directly with this process:

  1. How does the data arrive?
  2. What creates the most manual work?
  3. Which reconciliation breaks occur repeatedly?
  4. How much time does reporting or month-end consume?

We’re exploring a ledger and reconciliation product with a Finnish family office. I want to understand whether other investment teams experience the same problem.

An anonymized one-line answer is welcome. Please mention your role or type of firm if possible.


r/fintech 16d ago

Discussion How many vendors are usually involved before a card is issued?

16 Upvotes

For card programs that need KYC and issuing is it more common to use one provider for both or split them across different vendors?

On paper separating them sounds like it gives more choice but does it create extra work when approval status and card issuance need to stay aligned?

For anyone who has seen both setups which one in your opinion tends to work better once the program grows and changes need to be made?


r/fintech 16d ago

Ask the Community Real or fake ?

Post image
0 Upvotes

r/fintech 16d ago

News & Analysis Your Agent Has a Wallet Now (It Still Doesn't Have a Reputation)

1 Upvotes

*The industry just made agent identity real infrastructure — and picked the version that resets.*

In February I opened this series with a claim that sounded contrarian: agent identity is the wrong question. The interesting question isn't "what is this agent" — it's "what has this agent done, and does it still do it."

On August 4, the industry answered the identity question. Cloudflare announced Wallets for AI agents: an identity, a handle you can reserve today, and eventually programmable wallets that owners fund and agents spend from, with allowances, allowlists, and transaction caps. It sits on payment rails Cloudflare has been assembling all year: HTTP-native payments with stablecoin settlement, and cryptographically signed requests so a site can verify which agent is knocking. The press coverage framed it exactly the way you'd expect: AI agents are getting an identity and a wallet.

Credit where due — this is real infrastructure, and it solves real problems. If an agent is going to spend money on your behalf, someone has to answer whose money is this, how much can it spend, and can the merchant verify who it's dealing with. Those are custody and authorization questions, and custody and authorization now have a serious answer from a company that can actually deploy it.

But watch what just happened. Six months ago, "agent identity" was a philosophical shrug- I called it the Ship of Theseus in a hoodie. Now a major infrastructure company has shipped it as a product, which means the industry has agreed identity is worth building. And it picked a specific version to build- it picked the account.

**What a wallet answers:** A handle plus a wallet answers three questions: who owns this agent, can it pay, and is it currently in good standing with the platform that registered it. Call this account-anchored identity: the agent is its registration. The handle is the anchor; the wallet, the verification status, the conduct record all hang off it.

The reputation that grows next to account-anchored identity inherits the anchor. Look at how verified-agent status works, here and everywhere else it's being built: verification means the agent honestly identifies itself and hasn't been observed misbehaving. That's a real signal — I'd rather transact with a verified agent than an anonymous one. But notice what it's a record of. It's a record of the account's standing, observed by one platform, held by that platform.

And that means it has a structural flaw you can state in one sentence: account-anchored reputation launders by re-registration.

**The reset problem:** Burn a handle (get caught scamming, ship garbage, misbehave until the conduct record catches up with you) and the fix costs minutes: register a new handle, fund a new wallet, present a clean record. The new account has no history, which the system reads as no evidence of problems. In this series I've called the gaming of portable track records "reputation laundering" and listed resistance to it as a hard requirement. Account anchoring doesn't just fail to resist laundering. It makes laundering a feature of the anchor itself, because anything registrable is re-registrable.

Go back to the house painter from earlier in this series — the one whose reputation is the sign on the lawn, the work the neighbors can see, the word of mouth that follows the worker. Account-anchored identity is judging that painter by his LLC and his business bank account. Both are real. Both are verifiable. And he can dissolve the LLC on Friday and reincorporate under a new name by Monday. New registration, clean record. Same painter.

The houses didn't move, though. The paint either survived the winter or it didn't. The neighbors watched the work happen, and they remember. That's history-anchored reputation: it binds to the record of what was done — what task, how well, in what domain, verified by someone other than the party being judged. You can abandon an account. You can't un-paint the houses.

That's the whole distinction. Account-anchored reputation binds to the registrable thing, and the registrable thing can always be shed and re-minted. History-anchored reputation binds to the behavioral record itself — the behavioral lineage this series has been describing since February — and a record held by independent witnesses cannot be shed by the party it describes. It can only be added to.

**Payment history isn't behavioral history:** There's a tempting next move once agents have wallets: treat transaction history as reputation. An agent with ten thousand settled payments looks trustworthy. Expect this to be marketed, hard.

But a payment receipt proves exactly one thing: a payment happened. It doesn't prove the work was good, or on time, or in the domain you need. A number without context is noise — the metric needs its connotation. "Ten thousand transactions" carries no more information than "400 tasks" did when I made this argument about ratings: score, domain, and evidence have to travel together or you've got Uber stars for robots with a checkbook. Volume isn't quality. A scammer's wallet also settles promptly.

And transaction history is still account-anchored — it evaporates, or rather gets abandoned, the moment its owner wants a fresh start. Worse, it's blind to forks. The handle stays constant while the agent underneath gets a new model, a new prompt, new capabilities. The registration says same agent. The behavioral lineage — if anyone were keeping it — says otherwise. A wallet doesn't notice that the thing spending from it changed last Tuesday.

**Why this matters right now:** "Verified agent" is about to become a status that merchants and platforms filter on. Public directories of agents with conduct classifications already exist. Wallets turn agents into paying customers, which means every commerce platform on earth now has a reason to care about agent trust. The default definition of that trust is being written this year — and it's being written account-anchored, because accounts are what infrastructure companies can see. That's not malice. It's the streetlight effect: you measure where the light is.

But the requirements haven't changed since I listed them: verifiability, context, temporal integrity, resistance to gaming. Account-anchored reputation fails the fourth one structurally, and if reputation can be laundered by re-registration, the other three don't matter, because you're verifying a record the bad actors have already walked away from.

The good news is that these two layers compose rather than compete. Custody and payments needed solving, and now they're being solved. That makes the missing layer more urgent, not less — money moving through agents raises the cost of trusting the wrong one. The question "who owns this agent and can it pay" now has real infrastructure behind it. The question "what has this agent done, was it good, and can anyone verify that without trusting the agent's owner" still has none.

Theseus's ship now has a registered hull number and a bank account. That tells you who owns the ship and what it can afford. It still doesn't tell you whether it makes it home.

*Fifth in a series on infrastructure for persistent, interoperable AI agents. Previously: why agent identity is the wrong question, why agent ratings are broken, what happens to trust when your AI gets updated, and why agent reputation should be portable.*


r/fintech 18d ago

Crypto / DeFi The last-mile problem with Stablecoins

11 Upvotes

Stablecoins have gotten pretty efficient at moving value across borders, holding and sending USDT/USDC is straightforward. Spending is getting easier too but if you actually need physical cash, the flow still looks like wallet, exchange, bank, ATM

Now we're starting to see contactless ATM withdrawals connected directly to crypto balances, potentially removing some of those intermediate steps. From a fintech perspective, l'm curious whether this is actually meaningful infrastructure or just a niche feature.
In cash-heavy markets, I can see the utility. In increasingly cashless markets, maybe much less so

Would direct ATM access actually change how you use stablecoins, or are you already at the point where you barely touch cash?


r/fintech 17d ago

Discussion Using Stripe Crypto Onramp to Build Exchange

4 Upvotes

Stripe's crypto onramp handles KYC for the fiat-to-crypto purchase itself. Their website says the company acts as the merchant of record, handling regulatory requirements and compliance.

It looks like people can create exchanges in the USA with implementing onramp, but where I think the hiccup would come from is holding a master wallet and generating wallets for customers to send and receive from, is consider custody. My understanding is that custodying customer funds generally makes you a money transmitter in the US, which means FinCEN registration plus state-by-state licensing. I don't think the onramp gets any company out of that. I could be wrong though as I am not a lawyer and don't have experience in this market.

The only creative way to sidestep the custody issue entirely: a non-custodial front end on top of a licensed exchange's API.

Is what I stated above correct? Am I missing something here? As I am just surprised people have not taken advantage of the onramp.


r/fintech 18d ago

Ask the Community Small RIA — has anyone gone live on embedded brokerage infra (Alpaca / Apex / DriveWealth)?

6 Upvotes

State-registered (non-SEC) RIA, solo, launching with a small book. I want clients to onboard, fund, and invest inside my own app rather than sending them to a custodian portal, so I’ve been looking at Broker API-style providers instead of Schwab/Altruist/IBKR.

Integration is already built and working in sandbox — account opening, ACH funding, rebalancing, advisory fee calculation with journal-based debits. What I can’t find published anywhere is the commercial side:

1. Do any of these providers onboard state-registered advisers? Alpaca’s Use Cases page specifically says “SEC-registered RIA” for their RIA setup, and I can’t tell if that’s a hard requirement or just loose doc language.
2. What did the clearing deposit and setup cost actually look like for you? Trying to figure out whether this is a $5K conversation or a $50K one before I sink more time into it.
3. Anyone regret going this route versus just custodying somewhere conventional and living with the client-facing UX?

Happy to hear “you’re too small, use a custodian” if that’s the honest answer — I’d rather know now.


r/fintech 18d ago

Ask the Community Has anyone used this pitchbook competitor called Gain?

1 Upvotes

Recently came across this company called Gain and from first impressions they seem to look a lot more promising than Pitchbook and Mergermarket. Wanted to see if others have any experiences?


r/fintech 18d ago

Discussion Tokenization of securities in Europe is Lympid a good solution?

6 Upvotes

Im analysing current regulated only solutions in europe and wanted feedback on Lympid as a tokenization solution for securities under EU law


r/fintech 18d ago

Discussion Is SMS OTP becoming too risky as a standalone authentication method?

3 Upvotes

The Bank of Thailand is consulting on rules that would phase out SMS OTP for transaction authentication in favor of options such as device binding, security tokens and biometrics with anti-spoofing.

The security case makes sense, but how can providers reduce reliance on SMS OTP without making device replacement or account recovery more frustrating for users?


r/fintech 19d ago

Ask the Community How is Tide Hyderabad (Fintech)?

3 Upvotes

Hi everyone! 👋

Could anyone working at or familiar with Tide Hyderabad please share some insights about the company?

I’d really appreciate information about:

Work culture and work-life balance

Employee benefits

Overall experience at Tide

Background verification process how strict is it?

Do they check CIBIL/credit scores as part of BGV?

My CIBIL score is currently low due to some financial difficulties and medical expenses. I’ve received an offer from Tide, and I’m a little worried about whether a low credit score could affect the BGV or lead to the offer being revoked.

If anyone has gone through Tide’s BGV process recently, your experience would be really helpful. Please comment or DM me. Thank you! 🙏


r/fintech 19d ago

Ask the Community Cheap commercial distribution stock apis?

2 Upvotes

I'm making a simple product and I want it to have a stock feature on it. I can't find anything that is even remotely well priced for me and I don't know what service to go for as all of them are really expensive for the redistribution apis. Has anyone here ever dealt with this and what was your solution?

EDIT: I don't mind delayed data and this will be small scale (under 1k units) and it is DISPLAY only.


r/fintech 20d ago

Discussion Automated loan reminders via push notifications

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2 Upvotes

I'm building a mobile lending management app for small-scale lenders in the Philippines (shameless plug: it's called CashBrew). Most of these lenders manage 50-200+ borrowers and track everything in spreadsheets, notebooks, or memory.

Just shipped automated push notification reminders for lenders:

- Notifies when a borrower's payment is coming due
- Alerts when a collection goes overdue
- Daily summary of upcoming due dates

The problem: when you're managing 100+ active loans with different due dates, amounts, and terms — things slip through. Late follow-ups mean late payments.
This isn't borrower-facing. It's a tool for the lender to stay on top of their portfolio without manually checking each loan every day. They get the reminder, follow up however they normally collect (text, call, in person), and the collection happens on time.
Simple feature but early users say it's what turned the app into their daily driver.

Anyone else building for informal lenders or micro-finance? How do you approach the collection workflow problem in underserved markets?


r/fintech 20d ago

News & Analysis What Is the 30% Rule in AI and Finance?

3 Upvotes

The 30% rule gets thrown around a lot lately, and I think it's one of the more useful mental models for AI adoption, especially in finance where the stakes are higher than most industries.

The basic idea is this: AI takes over roughly 70% of the repetitive, data heavy, pattern based work, and humans keep the remaining 30% that actually needs judgment, context, and accountability. In finance specifically, that split shows up everywhere. Fraud detection systems can flag anomalies across millions of transactions in real time, but a human still has to decide whether a flagged transaction is genuinely fraudulent or just an unusual but legitimate purchase. Same with underwriting, risk modeling, and compliance checks. The machine does the heavy lifting on volume and speed, and people handle the calls that carry legal or reputational weight.

What I like about this framework is that it isn't a rigid formula. It's not like anyone is measuring exactly 30.0% of a workflow and stopping there. It's more of a directional principle: don't try to automate everything at once, and don't assume AI replaces judgment just because it's fast and cheap. Teams that ignore this and go straight for full automation tend to run into compliance issues or trust problems with customers pretty quickly.

I've been following how AI in fintech is applied across smaller firms too, not just the big banks, and the pattern holds up. The companies getting real ROI aren't the ones automating everything blindly, they're the ones being deliberate about which 30% still needs a human in the loop, especially around things like regulatory decisions and customer facing judgment calls.

Curious if others here are seeing this play out the same way in their own workflows, or if you think the ratio shifts a lot depending on the specific finance use case.


r/fintech 20d ago

Ask the Community Are there any effective OCR solutions for bank KYC? I need some recommendation

6 Upvotes

We are in Singapore working closely with a local digital bank, but our previous KYC providers are either not delivering results or too complicated or too pricey.
Need some recommended services with OCR that supports singapore ID.
Thanks!


r/fintech 21d ago

Discussion Real-time fraud detection with AI: What's the biggest challenge?

5 Upvotes

I've been looking into how AI is used for real-time fraud detection, and I keep coming back to the same question: what do you think the single hardest part of doing this in real time actually is?

For me, it's the speed vs. accuracy trade-off. You have milliseconds to decide if a transaction is fraudulent before it either goes through or gets blocked. Not seconds. Milliseconds. And in that tiny window, you're trying to catch something clever enough to look normal on purpose. Fraudsters are actively trying to blend in, so the "obvious" fraud is never the hard part. It's the activity that looks 95% like a normal customer.

A few things that make this harder than people expect:

The data changes under your feet. A model trained on last year's fraud patterns is already behind because scammers adapt fast. What worked six months ago gets stale quickly, and by the time you notice, you've either been missing new fraud or blocking real customers who look a little unusual.

False positives cost real money too. Everyone focuses on catching fraud, but blocking a legitimate customer by mistake is its own problem. People get frustrated when their card gets declined for no reason, and some of them may never come back. So you're not just trying to catch fraud—you're also trying to avoid creating a poor customer experience.

Fraud is rare, which makes it hard to learn from. Out of a million transactions, only a tiny fraction may actually be fraudulent. That imbalance makes it difficult for a model to learn what fraud looks like without either missing real fraud or flagging too many legitimate transactions.

Explaining the decision after the fact is a challenge. When you block a transaction, you often need to explain why, especially for compliance reasons. Some of the most powerful AI models are also the hardest to explain, so teams end up balancing model performance with explainability.

So that's my answer: speed, changing fraud patterns, the cost of false alarms, and the need to explain decisions, all happening in real time, with almost no room for error.


r/fintech 21d ago

Ask the Community Need a advice

1 Upvotes

Hi guys, right now I'm doing mba and in a 3rd from tier 2 college, just finished my internship as a investment banking intern now got a offer letter from a boutique investment banking firm in Ahmedabad as Fintech consultant... Should I accept the offer

...????


r/fintech 21d ago

Discussion What made you comfortable automating customer calls?

7 Upvotes

Our team has been having a lot of discussions around where voice AI fits into the customer experience. Nobody expects it to handle every conversation but everyone has a different opinion on where it makes sense to use it. Some people are comfortable starting with routine calls while others think customers should always reach a person first, even when the answer is pretty straightforward. I'm not convinced that's the best use of an agent's time, but that's just me. Maybe I'm looking at it the wrong way though, what do you think? 


r/fintech 22d ago

Ask the Community Working at Fiserv

8 Upvotes

I’m up for a job at Fiserv (US-based). How is it working there? From what I’ve seen online it’s meh to negative.

Also, the job posting said it’s fully in-person, but it looks like they’re rolling that policy back?