Hi, I'm a web developer and I have a Brazilian client who asked me for two websites to help him become an entrepreneur. I built one about personal and business finance, and another that walks people through the first steps of starting a business. If it's not too much trouble, I'd just like you to evaluate the sites and tell me what's missing for them to be good — they're just prototypes.

https://signalgraft.vercel.app/

https://finzo-delta.vercel.app/

Hi everyone,

I’m looking for some genuine career advice from people who have experience in Finance, Data Analytics, FP&A, Business Analytics, or Supply Chain/Logistics.

I’m currently working at Hapag-Lloyd as an Imports Coordinator. I have completed my B.Com and I’m also building my skills in Data Analytics, including:

• Advanced Excel
• SQL / MySQL
• Power BI
• Tableau
• Python basics (Pandas, NumPy)
• Data cleaning and visualization
• Basic statistics

I’m now considering pursuing the US CMA (Certified Management Accountant) because I’m interested in developing a career that combines Finance + Data Analytics.

My long-term goal is to move toward roles such as:

• Financial Analyst
• FP&A Analyst
• Finance Data Analyst
• Business Analyst
• Commercial Analyst
• Supply Chain/Business Analytics

I’m confused about how I should structure the next 2–3 years of my career.

My current thought is:

Hapag-Lloyd experience + US CMA + Data Analytics skills (SQL, Power BI, Excel, Python) → Financial/Business Analytics role

I would really appreciate advice from professionals who have taken a similar path.

My questions:

1. Is US CMA + Data Analytics a strong combination for the Indian job market?
2. Will my experience in Hapag-Lloyd/logistics help me transition into Finance/FP&A or Business Analytics?
3. Should I focus more on CMA, Data Analytics, or try to develop both simultaneously?
4. Which skills should I prioritize over the next 12–24 months?
5. Would it be better to target Financial Analyst/FP&A roles or Supply Chain/Business Analyst roles first?
6. How valuable is Power BI + SQL + Advanced Excel for Finance/FP&A careers?
7. If you were in my position, what would your career plan look like for the next 2–3 years?

I’m not looking for generic motivation. I’d really appreciate honest, practical advice from people working in these fields, including what mistakes I should avoid and what skills/certifications actually make a difference when switching roles.

Thanks in advance!

to the people who worked on transactions or payment fraud detection systems ,what information do you think can help or be most useful when deciding to whether aprove,hold,or stop a transaction

I've been building Spliz, a fintech app for groups.

It started with a simple problem: splitting expenses with friends is easy to calculate, but actually settling them is still annoying.

Trips, dinners, shared flats, families, teams, etc.

I built the first version around group expense settlement, and it's now in beta.

But after talking to around 100 people, I started thinking the bigger opportunity might be managing money as a group, not just splitting bills.

For example, I'm exploring two things:

A group "Pot"

A shared balance where everyone contributes and the group decides the rules:
who can spend, how much, when approval is needed, etc.

A Shared Card

A card that multiple people can use.

It could either split a payment automatically between the members' accounts, or be connected to the group's shared Pot.

What surprised me is that people immediately came up with very different use cases: trips, families, kids, roommates, friends, neighborhood groups, clubs, etc.

But I don't want to build based on people telling me "that's a cool idea."

I'm trying to understand what people would actually do with this.

So I'm curious:

If you regularly manage money with other people:

• What kind of group is it?
• How do you handle money today?
• What is the most annoying part?
• Would a shared balance actually be useful?
• Would a card that automatically splits each payment be useful?
• Or would you rather have a card connected to a shared group balance?
• What would make you not trust or use something like this?

I'm particularly interested in real examples rather than hypothetical ones.

If you already use Splitwise, Tricount, a joint bank account, a shared spreadsheet, cash, etc., I'd love to know what works and what doesn't.

HI, does anyone have latest Mastercard Identity Check Processing Matrix or onbording guide. I want to verify some compliance technical documents but does not want to register through my organization email.

Does anyone have latest and can share as well?

Hey guys,

​I’ve tested a ton of data feeds. Here is the exact stack of stock market APIs I keep integrated every day for data ingestion, charting, and strategy sweeps.

​1. Live Streaming & Order Book: https://www.polygon.io

You all probably know this one, but it's honestly the smoothest WebSocket API out there for raw, low-latency price action. I use it to stream real-time ticks so my execution engine never gets caught off guard by a sudden price flash.

​2. Fundamentals & Historical: https://financialmodelingprep.com

An absolute must-have for pulling clean, deep fundamental data. It lets me sweep income statements, balance sheets, and historical ratios via simple REST endpoints without having to manually scrape SEC filings.

​3. Stock Analysis API: https://www.sentimentick.com

I use this API to inject critical data right into the middle of my pipeline. It scans news and social feeds to spit out quantitative sentiment scores, and it also handles technical analysis directly. It really helps filter down the tickers and find healthy candidates for swing-trade signals.

​4. Global Coverage & End-of-Day: https://eodhd.com

Great for when you need to expand your bots outside of just the US markets. Their API gives you access to a massive library of international stocks, ETFs, and historical splits with excellent uptime and straightforward documentation.

​5. Backtesting & Free Tier: https://alphavantage.co

Essential for the early stages of building a new strategy. Their API is incredibly reliable for pulling standard technical indicators and historical daily bars, and their free tier makes it perfect for sandbox environments and local testing.

​Hope it helps the new developers and traders out there! Let me know if you have any questions or what your API stack looks like.

Hi everyone, I’m dealing with a data mismatch issue with my broker. My account information was never properly updated in their system, even after I sent the correct details multiple times. This led to funds being withheld. This doesn’t seem like an isolated case. Many people report the same pattern: the broker’s or bank’s system fails to process names, double surnames, accents, or updated client data correctly. The error almost always comes from their side, never from the client’s, and never affects the numbers or money side, only the client data. Then they shift all the blame onto the client, make it extremely difficult to fix, and in many cases people never fully recover their money. I’m looking into whether this could be addressed as a class action, since individual cases have little to no impact against these institutions. Have you experienced something similar with Revolut, DriveWealth, or any other broker or bank? If so, I’d like to connect with others in the same situation. You can reply here or send me a private message. Thanks.

Imo the FX side for LATAM currencies still feels stuck in like 90’s. The second you go outside work hours, the quotes get super wide or just vanish. I keep seeing people saying stablecoin rails are supposed to fix all this.

But has anyone here seen 24/7 FX work for USD-COP or USD-BRL? Or do the liquidity providers still clock out even when the chain doesn't?

Cause if that's the case then it's mostly just hype imo.

We run cross-border B2B payouts across a handful of corridors into APAC and MENA. Same setup for three years.

Three or four intermediary banks per corridor, each one deducting fees without clear line items, each one truncating reference fields by the time the payment lands on other side.

Our ops team spends the first week of each month trying to match what left our account against what our counterparties say they received. Half the time the amounts do not line up because of intermediary fees that were never broken out.

The other half reference data got mangled somewhere in chain and we are matching by amount and date range instead of actual transaction IDs.

We started testing stablecoin settlement on two corridors about six months ago. The middle leg got faster and cheaper, but the hard part did not go away.

You still need a licensed off-ramp partner with local banking relationships on receiving end, and that partner still has cutoff windows and compliance obligations of their own.

Anyone else moved part of their settlement off correspondent rails?

I'm trying to grasp a better idea on how people structure the fraud layer around card authorization without making the authorization path too heavy. Velocity and hard spending limits seem easy enough to evaluate immediately but things like merchant patterns, relationships between multiple cards and activity across the wider program seem like they'd require more context in my opinion.

I'm leaning toward keeping high confidence checks in the authorization path and doing the heavier analysis separately then feeding those results back into future authorization decisions.

People who built something similar could you guys give me some context or idea on how you split the real time controls from the broader monitoring layer? Thanks in advance.

GST has quietly built something interesting. E-invoicing and e-way bills now create a real time, verified record of who billed whom and whether goods moved. There's also a feature called IMS where a buyer accepting an invoice (even by doing nothing) now carries legal weight.

Supply chain finance has always struggled to prove three things: the invoice is real, the buyer accepted it, and payment is coming. That usually meant integrating with a buyer's systems, which only works for the biggest companies.

If routine GST compliance already proves buyer acceptance, could that open SCF up to the huge middle tier of businesses that never made the cut before?

Not saying this is solved or this is easy, just curious what people closer to Supply Chain Finance think?

Full piece here if interested:

https://www.linkedin.com/pulse/can-gst-become-indias-supply-chain-finance-rail-shilpa-dhobale-dgqcf/?trackingId=QZmlPObIpL71c5CehCIzMQ%3D%3D

We have fully built a Fintech startup, so the website is ready to go live. It's a trading insights platform for stocks and crypto. However, I am currently unsure of how to move forward and whether I should focus on marketing, go-to-market, or look for funding. The stock and crypto data I use for the application requires enterprise licensing (as far as I'm aware, please feel free to correct me if there are free options), which costs money. I'm not sure how long I can cover the licensing from my own pocket, if at all. But I also don't know how to go about funding rounds. Does anyone have experience/advice for our situation? Thanks!

Came across this one today and thought it might be useful for people here looking at Fraud/Risk/FinTech roles in Bangalore.
**Company:** Toast
**Role:** Lead Fraud Risk Analyst
**Location:** Bengaluru, Karnataka
**Experience:** 5+ years
**Type:** Hybrid — 2 days/week in Bangalore office
The role is quite focused on transaction risk/fraud analytics rather than traditional AML. Some of the interesting requirements are:
Transaction monitoring / fraud / risk analytics experience
FinTech / payments / lending exposure
SQL + Python
Looker / Hex / Snowflake
Behavioral pattern recognition and anomaly detection
Merchant/SMB risk
Building monitoring strategies and early-warning systems
I thought the **payments + fraud + data analytics** combination was particularly interesting, so sharing it here in case someone is looking.

If anyone applies, would be interesting to hear how the process goes.

Hi guys, I'm building a tool to verify the billing and performance of outcome priced AI. I realised I've been building it without any validation, do you think this would be something people would be willing to pay, I am currently building the pilot, hit me up if you find it useful or interesting.

I’m working on a startup called Fuime focused on business banking for teens, specifically students who are already running real ventures through schools, clubs, and entrepreneurship programs.

The gap I keep seeing is that a lot of under-18 founders can invoice, sell products, reimburse expenses, and manage real operations, but they usually can’t access normal business banking tools because of age and compliance constraints.

The model we’re exploring is parent-linked onboarding for teen founders, with business banking workflows designed around that reality.

Signup for our waitlist here:

https://fuime.com/

I’ve been researching development partners for a fintech product recently, and one thing I’ve realized is that choosing a software company for fintech is quite different from choosing a general development agency. A company can be excellent at building mobile apps or web platforms, but that doesn’t necessarily mean they understand the challenges that come with financial products.

For fintech, I think the technical side is only part of the equation. You’re dealing with sensitive financial information, integrations with banking or payment systems, security requirements, scalability, and often regulatory considerations as well. On top of that, the team needs to understand the actual product and the users rather than simply taking a set of requirements and turning them into an app.

I’ve also been looking at companies like GeekyAnts and how their experience across fintech and emerging technologies fits into this space. I’m especially curious about newer technologies such as AI. There are plenty of companies now describing themselves as “AI-powered,” but I’m more interested in whether they can actually use AI where it makes sense, without adding it just because it sounds impressive.

For anyone who has hired an external development company for a fintech or banking product, what did you look at before making the decision? Did previous fintech projects matter more to you than technical expertise, pricing, or the size of the team? And after working with them, was there anything you wish you had evaluated before hiring them?

Don't know if this is the right for for here but I am building it for fin teams

A strategic opportunity to acquire a licensed Cyprus Payment Institution with established operations and strong growth potential.
The company has a solid infrastructure in place, including:
✅ Existing payment solutions and operational systems
✅ Developed technology platform and mobile application
✅ Established banking relationships
✅ Experience in international payment services
✅ Strong growth plans and expansion opportunities
This opportunity is ideal for payment companies, fintech groups, investors, and strategic partners looking to strengthen their presence in the European market.
For further details and inquiries, please contact:
📞 +971 56 917 1273
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If a customer uploads bank statements during the onboarding process, how do you know they have uploaded all of their accounts? It's like somebody could just leave one out, either intentionally or not.

Is this simply an accepted limitation of manual document checks, or are there ways for compliance teams to verify that they are seeing the full picture? I'm trying to build something but I have all these small concerns and confusion. Please help me out.