Fintech dashboards that turn financial transaction data into the metrics your customers and your team need to act on.
We build financial dashboards for fintech startups — customer-facing account views, portfolio analytics, risk monitoring tools, transaction ledgers, and the compliance and fraud monitoring dashboards your operations team needs to run a financial product. Fixed scope, fixed price.
Your fintech product processes transactions or holds financial data. Your customers deserve a data experience that rivals Plaid's or Stripe's. Your ops team needs fraud and compliance visibility that doesn't require running SQL queries every morning.
Fintech products are differentiated primarily by the quality of their data experience. The difference between a fintech product that customers trust and one they abandon is usually visible in the dashboard: does the data tell me a clear story about my financial position, my portfolio, or my business, or does it leave me uncertain and searching for the answer? The Stripe dashboard is the canonical example of the right approach — transaction data that's immediately legible, trends that are visible without calculation, anomalies that are surfaced before the customer has to find them.
Building that data experience requires engineering investment beyond the core product. The transaction ledger is the source of truth, but rendering the ledger as a dashboard requires aggregation, trend calculation, categorisation logic, and filtering capabilities that are separate engineering work from the transaction processing itself. Many fintech startups ship with a basic transaction list and plan to invest in the dashboard later — and later turns into never as the roadmap fills with feature requests and the dashboard remains the embarrassing part of the product.
On the operations side, fintech products require risk and compliance dashboards that most teams underinvest in until something goes wrong. Fraud monitoring requires real-time visibility into transaction anomalies, failed verification attempts, and account takeover indicators. Compliance monitoring requires audit trails, suspicious activity thresholds, and reporting workflows. These dashboards are the internal infrastructure that makes the product operable at scale.
A fintech dashboard suite with customer-facing financial analytics, risk and compliance monitoring for operations, and the real-time metrics that make your financial product trustworthy at scale.
Customer-facing account dashboard
Account balance with historical chart. Transactions with categorisation, merchant name normalisation, and search. Income and spending breakdown by category over configurable time windows. Alerts for low balance, large transactions, and unusual spending patterns.
Portfolio analytics
For investment or lending products: portfolio composition, returns over time, IRR calculation, asset class breakdown, and position-level detail. Benchmark comparison where relevant. Downloadable statements and reports.
Operations and risk monitoring dashboard
Real-time transaction volume, approval rate, and decline reasons. Failed KYC and identity verification attempts with reason codes. Accounts flagged for suspicious activity with transaction context. Daily, weekly, and monthly volume and revenue metrics.
Fraud detection dashboard
Transaction anomaly view: accounts with transaction velocity, amount, or geography anomalies. Chargeback rate by merchant category. Stripe Radar rule firing rate and false positive rate. Fraud loss trend over time.
Compliance reporting
Transaction reporting for SAR/CTR threshold monitoring. Sanctions screening match queue. KYC document review queue. Audit log of compliance actions and decisions. Built on Next.js, Recharts/D3, Postgres analytical schema with pre-aggregated materialized views, and Stripe Dashboard-style interactive filtering.
One honest number to start.
Fixed-scope, fixed-price. The number below is the starting point — final scope is built from your brief.
A fintech dashboard suite with customer-facing financial analytics, risk and compliance monitoring for operations, and the real-time metrics that make your financial product trustworthy at scale.
Three steps, every time.
The same repeatable engagement on every project. No surprises, no mystery, no billable ambiguity.
Brief & discovery.
We send you questions, then get on a call. Output: a written scope with every step, feature, and integration listed.
Build & ship.
Fixed schedule, weekly reviews. No scope creep unless you change the scope — and if you do, we reprice it transparently.
Warranty & retainer.
30-day warranty on every launch. Most clients stay on a monthly retainer for ongoing features and maintenance.
Why Fixed-Price Matters Here
Fintech startups raising money or pursuing enterprise customers face dashboard quality as a diligence item. A product that processes payments or manages financial data but can't show customers clear analytics is a weakness in every demo and every due diligence session. Fixed scope, fixed price.
Related engagements.
Fintech requires full-stack engineers who understand financial correctness at every layer.
Read more02Fintech SaaS is regulated, audited, and judged in seconds. Build to those standards from day one.
Read more03Your API is your product. Build it like money moves through it — because it does.
Read moreQuestions, answered.
Customer-facing balance and transaction data should be near-real-time (sub-60-second refresh from transaction event to dashboard display). Analytics aggregations (spending trends, income breakdown) can be computed on a 5-minute or 15-minute refresh cycle. Fraud monitoring needs real-time event streaming. We design the refresh strategy per data type based on business requirements.
We use pre-aggregated materialized views in Postgres for time-series analytics — daily/weekly/monthly aggregations computed on schedule so dashboard queries read from pre-computed results rather than scanning full transaction history. For very large volumes (100M+ transactions), we evaluate BigQuery as the analytics backend.
Multi-currency display requires exchange rate data (ECB or Open Exchange Rates API) and a base currency conversion layer for aggregate views. Multi-entity account structures (holding company + subsidiaries) require a hierarchy data model. Both are specific scope items we design during discovery.
Customer-facing analytics, risk monitoring dashboard, and compliance reporting view typically runs $35k–$70k. Real-time fraud monitoring and multi-currency support add scope. Fixed-price.
10 to 14 weeks for a production fintech dashboard suite with customer analytics and operations monitoring.
Tell Ryel about your project.
Describe what you’re building and what outcome you need. You’ll have a written, fixed-price scope within the week.