TechRadiant ranks the top financial software development companies in 2026 for banks, insurers, payment providers and capital markets firms. Each one is evaluated on financial domain depth, security and compliance maturity, core banking and payments engineering, delivery scale and documented client outcomes at named institutions.
This report is written for the CIO, CTO or head of change at a regulated institution, a buyer who rarely searches for "fintech." The companies here run multi-year programmes for tier-one banks and global processors, and together they employ more than 155,000 people. If you are a startup building a first product, our Fintech Software Development report is the better starting point.
How TechRadiant ranks financial software development companies: Each company is scored on five criteria, financial domain depth, security and compliance, core and payments engineering, delivery scale and client outcomes, using named client work, published results, company filings and certifications. Facts are taken from each company's own case studies, investor releases and official pages, verified in October 2026. Scores are TechRadiant's editorial assessment. Rankings reviewed quarterly.
Both build financial software. They differ in what they are designed to absorb: a studio absorbs product risk, an integrator absorbs programme risk. Most banks need the second, and many pay for the first by mistake.
These are the engagement types the companies in this report are most often hired for. Use them to match a partner's track record to the programme you are actually running.
Endava is a London-headquartered engineering and consulting firm in which regulated industries dominate the revenue mix; in its fiscal 2026 third quarter, payments alone accounted for 23 percent of revenue. That concentration shows in its delivery: payment platforms, banking and capital markets systems, and the data and AI work around them are core business, not a side practice. Endava suits payment providers, banks, and insurers that want large nearshore and offshore engineering capacity from a firm that already speaks the language of schemes, settlement, and regulatory change.
EPAM reported about 62,850 employees at the end of 2025 and lists financial services and insurance among its dedicated industry practices. Its engineering heritage makes it a strong choice for complex, custom builds: trading and wealth platforms, digital banking front ends, data platforms, and the modernisation of ageing internal systems. EPAM combines product engineering, cloud, and data capability at a scale few specialists can match, which suits institutions running several large programmes in parallel across multiple regions.
Thoughtworks is a global technology consultancy best known for popularising agile and continuous-delivery practices and for publishing the influential Technology Radar. In financial services it is often brought in to break up monolithic cores and payment systems into evolvable platforms, to build engineering quality into regulated delivery, and to coach in-house teams alongside the build. It is a strong fit for banks and fintechs that want modernisation done with clean architecture, automated testing, and capability transfer, rather than a pure outsourced build.
Luxoft, now part of DXC Technology, is widely recognised for engineering work at investment banks and asset managers: trading platforms, risk and market-data systems, post-trade processing, and the regulatory change programmes that surround them. Its teams are used to low-latency requirements, complex reconciliation, and strict controls, and to operating within the large governance structures of tier-one institutions. Luxoft is a natural shortlist candidate for capital markets and wealth programmes where deep front-to-back domain knowledge matters as much as raw engineering capacity.
Globant is a Luxembourg-headquartered, digital-native services company that lists banking, financial services, and insurance among its core industries, with delivery across the Americas, Europe, and Asia. It combines product design, engineering, and AI-focused work, which suits retail banks and fintechs that need customer-facing apps, onboarding journeys, and AI-assisted servicing built quickly and designed well. Its time-zone coverage for North and Latin America makes it practical for US-facing programmes that need close, daytime collaboration.
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GFT has spent more than 35 years building software for banks and insurers, and banking remains its anchor industry. For Deutsche Bank it modernized the global credit risk platform, delivering €10 million in savings and a 10% productivity gain. It helped launch the first cloud-native neobank in Asia, and a German direct bank achieved 30% cost savings by moving work to GFT's Valencia nearshore hub. GFT is a founding member of UDPN, an interoperable payments infrastructure initiative, and applies generative AI to legacy and core banking modernization. Its sector coverage spans retail banking, capital markets, asset management and insurance.
Ciklum works with a roster of banks, brokers and payment companies, and its case studies are unusually specific. It runs 14 teams and 55 specialists embedded in eToro's 40-million-user trading platform. For Santander it consistently met an 8-day SLA across more than 100 daily mortgage transfers. For an unnamed payment gateway it scaled open banking across 16 EU markets at 99.8% uptime, and for Inspira it cut costs by 25% and made transactions 40% faster through banking automation. Its client logos also include Payoneer, Mastercard, Paysafe and Zurich, which suits institutions that want embedded engineering capacity rather than a fixed-scope project.
N-iX has 24 years of delivery and holds ISO 27001 and ISO 9001:2015 certification, along with PSI and FSQS-NL compliance credentials that Dutch and European financial institutions use to vet suppliers. Its best-known fintech engagement is with Currencycloud, where platforms it supports process $400 million in account balances every month. Its banking and fintech client list also includes Credit Agricole and Raisin. With engineering centers across Poland, Ukraine, Bulgaria, Romania, Colombia and India, N-iX suits institutions that want certified, scalable nearshore teams for payments, data and cloud work.
ScienceSoft has worked in IT since 1989 and in financial services since 2005, and it holds both ISO 27001 and ISO 9001 certification. Since 2016 it has supported Kapital Bank, a commercial bank with more than $3.5 billion in assets, on its mobile banking app and IT consulting. Its loan management system for Atlas Credit won Best-in-Class Loan Management System at the Global FinTech Innovation Awards 2025. It has also built commercial property insurance automation for Capital IM in two months, and reports agentic AI work that made investment analysis up to 70% faster for a large US investment firm.
SoftServe was founded in Lviv in 1993 and now runs US headquarters in Austin and European headquarters in Lviv, with offices in 14 countries. Its financial services work leans toward regtech, compliance and data. With Regnology it built a Google Cloud-native audit module for regulatory reporting, with Powerlytics it developed TrueWealth, a lead generation platform for financial institutions, and it moved Tax Systems from desktop applications to cloud. SoftServe reports around 40% lower operating costs from modernization and roughly 80% less manual review effort in KYC, AML and compliance work, and it was named NVIDIA's 2025 Americas NPN Service Delivery Partner of the Year.
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Answers to the questions bank, insurer and payments leaders ask most often when choosing an enterprise software partner in 2026.
A financial software development company engineers and changes the systems that banks, insurers, payment providers and capital markets firms already run: core banking platforms, payment hubs, trading and risk systems, data platforms and the customer channels on top of them.
The difference from a fintech product studio is scale and risk profile. A studio is built to launch something new quickly. An enterprise firm is built to change a running institution without breaking it, with thousands of engineers, dedicated financial services practices, nearshore delivery centers and governance that fits inside a bank's own controls.
If you are launching a first product, see our Fintech Software Development report. If you are changing a system that already carries customers or money, this report is the right shortlist.
The EU's Digital Operational Resilience Act has applied since 17 January 2025, and national supervisors are now issuing the first fines. Under DORA, your ICT service providers are part of your own regulatory exposure, which turns vendor selection into a compliance decision.
In practice, your partner should be able to support:
Ask these questions early. Large integrators that already serve EU banks usually have standard DORA contract schedules ready.
Most institutions now favour staged modernization: putting APIs in front of the existing core, moving products or customer segments one at a time, and running old and new systems in parallel until balances reconcile. It reduces the risk of a single high-stakes cut-over.
Full replacement can still make sense when the existing core cannot be supported, when its licensing or hardware costs are rising sharply, or when a new product line needs capabilities the old system cannot provide.
Whichever route you choose, ask a prospective partner how they handled reconciliation, parallel running and rollback on their last migration. The quality of that answer predicts the quality of your programme.
Yes, and it is one of the clearest real uses of AI in banking technology. EPAM, for example, reports an AI-led mainframe modernization that delivered 312 features in four months for a capital markets client. AI tools can read legacy code, document business rules and draft equivalent modern code far faster than manual analysis.
The risk sits in review. Generated code still needs human engineers who understand the business logic, strong automated testing and clear sign-off before anything reaches production.
Ask any partner how AI-generated code is reviewed, tested and traced back to the original business rules, and whether that evidence will satisfy your internal audit team.
It depends on how closely your teams need to work together. Nearshore delivery, with teams in similar time zones, suits programmes that need daily collaboration with in-house staff and regulators. Globant's Latin American delivery suits US banks, and GFT reports that a German direct bank saved 30% by moving work to its Valencia nearshore hub.
Offshore delivery can lower cost further for well-defined, longer-running work such as testing, support and data engineering.
Many institutions combine both. Before you sign, check where the work will actually be done, because data residency rules and DORA's third-party requirements may limit which locations you can use.
The certifications regulated buyers ask for most often are:
Some markets have their own supplier frameworks. N-iX, for example, lists PSI and FSQS-NL credentials, which Dutch and European financial institutions use to vet suppliers. In this report, N-iX and ScienceSoft both state ISO 27001 and ISO 9001 certification on their own sites.
Always ask for the certificate, its scope and its issuing body. A large company may be certified for some delivery centers but not the one that will do your work.
Full core replacement at a large bank is usually measured in years, not months, which is why staged approaches have become the norm. The better measure is how quickly the first useful release reaches customers.
Well-run programmes show value early. Globant reports that it helped Openbank, Santander's digital bank, deliver a fully digital bank in nine months, cutting onboarding from 24 days to 20 minutes. Thoughtworks reports that TBC Bank cut time-to-market by 60% through its transformation.
Ask a partner for a release plan that shows what goes live in the first six months, not only the end state.
These six questions narrow a long list quickly:
The answers usually separate two or three serious candidates within one round of meetings.
Human-verified rankings across AI, development, and marketing — updated quarterly.