Hire pre-vetted Fintech Developers

Fintech products don't get a grace period for shipped bugs. Our developers work primarily in Java, Python, and Node.js, backed by PostgreSQL, and build event-driven services on Apache Kafka when a platform needs an audit trail as reliable as the transaction itself. AWS is the default deployment target, and REST and Open Banking APIs get built with PCI DSS and PSD2 constraints considered from the first schema, not bolted on before an audit.

In-house teams know your product roadmap and internal review process cold, which matters when a change touches a live payment flow. Outsourced fintech engineers add bench depth fast, useful when a PCI recertification or a new PSD2 requirement lands with a deadline your current team doesn't have hours for. Most fintech companies we work with run both, a core in-house team for product direction and a Cortance developer or two for the compliance-heavy sprints that would otherwise stall the roadmap.

When our fintech partners contact us, they know that our vetting process tests domain expertise deeply, not only how a candidate reasons through a failed reconciliation or a partial refund, but also whether they know the syntax for a REST endpoint, so the developers who reach your shortlist have already proven judgment under the kind of pressure fintech work creates.

Our Fintech cases

1. Payment infrastructure. At ABB Bank, Javid As., a Senior Full-Stack Software Engineer based in Baku, worked on modernizing and scaling the bank's payment infrastructure to support high-volume, secure transaction processing as part of a wider digital banking overhaul.
2. Automated Risk Management System. A risk management system that detects and blocks any fraudulent activity that fraudster might attempt with the customer’s online banking account or payment card in real time under PSD2 compliance. The system our developers provided under the Alex K. control proactively monitors accounts and enhances your bank’s fraud prevention and detection by:

- Monitoring transactions for suspicious activity and money laundering violations;

- Issuing alerts for various types of bank fraud vulnerabilities;

- Comparing amounts and frequencies to known fraud trends and parameters;

- Allowing authorized employees to easily create new rules and reports based on selected criteria;

- Action creation for rules and tethering them in a logical flow.

1. Online banking backend. Valerii K. a Backend Java Developer in Odesa, built backend infrastructure for an online banking and mobile app, a set of microservices that handled client data across transfers, payments, and balance checks.
2. Usage-based billing. Beyond banking infrastructure, our developers have built metered billing systems that turn API calls and transaction events into invoices for SaaS and marketplace clients, a pattern that shows up across smaller fintech products that don't need core banking scale.
3. Credit card selection platform. The platform analyzes your purchase history using your real shopping patterns to give you the right credit card based on your lifestyle. The platform our developers worked on allows you to avoid spending time comparing different credit cards and finds the perfect credit card for you, since the right credit card is worth several thousand dollars saved each year in the form of travel, cash back, and insurance.

$40 billion in fraud is now blocked by AI-powered defences each year

Visa's fraud defences, which lean heavily on AI-powered detection, blocked $40 billion in fraudulent transactions last year, and fintech engineering teams are the ones building the layer underneath results like that. Our developers work on AI-assisted fraud anomaly detection that flags suspicious transactions before they clear, KYC document pipelines that cut down manual review time, and underwriting tools that speed up risk scoring while keeping a human in the approval loop. None of that removes the compliance guardrails. It just moves the routine decisions faster, so a reviewer's time goes to the transactions that actually need judgment.

Startups get senior fintech execution without standing up a recruiting function first. Product companies use Cortance for staff augmentation when a roadmap deadline or a new integration won't wait for a long hire. Submit your requirements and get matched with Fintech developer profiles within 30 minutes, interview with no commitment, and transfer a developer to your own team after six months if the fit is right.