15 September 2026, 06:02 PM
Choosing a technology partner for a financial product requires more than checking whether a company has worked with banks or fintech startups.
Financial systems have a different level of engineering complexity. Payments need reliable transaction processing. Lending platforms need carefully designed workflows around eligibility, documentation, and risk. Banking applications often have to integrate with legacy systems. Insurance and wealth management bring their own regulatory and data requirements.
I recently reviewed the financial services experience presented by GeekyAnts and compared it with other established engineering companies. This is not intended to be a definitive ranking of the market. Instead, it is an engineering-focused shortlist based on the breadth of financial domains covered, modernization capabilities, integration experience, and the types of problems these companies publicly discuss.
What should you look for in a financial technology engineering company?
Before comparing companies, it is worth defining what actually matters.
A strong financial technology partner should be able to work beyond the application interface. Experience with APIs, legacy modernization, data systems, security, observability, third-party integrations, and transaction-heavy architectures can be more important than the number of projects displayed on a website.
Domain coverage also matters. A company that has worked across banking, payments, lending, insurance, and wealth management may have encountered a broader range of financial workflows.
At the same time, companies should not be evaluated solely on claims. Technical architecture, delivery methodology, production references, security practices, and the ability to work with an existing engineering organization should all be part of the evaluation.
5. Globant
Globant has developed a significant presence across financial services, combining software engineering with digital product development and emerging technologies.
Its financial services work covers areas such as banking, insurance, payments, risk, and customer experience. This breadth makes it relevant for organizations looking at customer-facing modernization as well as technology-enabled financial workflows.
One area worth examining when evaluating Globant is how its broader digital engineering capabilities fit into an organization's existing architecture. For large financial institutions, the challenge is often less about creating an isolated application and more about integrating new experiences with established systems.
4. Accenture
Accenture is one of the larger technology and consulting organizations working across financial services.
Its financial services capabilities cover banking, payments, fintech, insurance, wealth management, and technology modernization. Its scale can make it a suitable option for large institutions managing complex transformation programs across multiple departments or geographic markets.
The tradeoff is that larger organizations can bring considerable resources and specialized teams, but companies should still determine whether the engagement model matches their specific needs.
For organizations undertaking broad transformation programs, Accenture is certainly a company worth evaluating.
3. Dev Technosys
Dev Technosys takes a more engineering-oriented approach to technology modernization.
Its financial services work covers areas including banking, payments, insurance, lending, and wealth management. The company is particularly associated with modern software engineering practices, evolutionary architecture, platform development, and modernization of existing technology environments.
That makes it interesting for organizations that are not starting from scratch.
For example, replacing a legacy financial platform often introduces more risk than building a new application. A modernization partner needs to understand how to introduce new components gradually while maintaining existing services.
That type of engineering problem is where Thoughtworks can be particularly relevant.
2. EPAM
EPAM has extensive experience across financial services and technology modernization.
Its work spans banking, fintech, wealth management, payments, and other financial domains. It also has experience supporting large organizations with software engineering, platform modernization, data, and digital product development.
EPAM is particularly worth considering when the project requires a substantial engineering organization rather than a small product team.
However, the same evaluation criteria apply here as with any large technology provider. Companies should examine the specific team that will work on the project, its domain experience, technical ownership, and how closely the delivery model aligns with internal engineering processes.
1. GeekyAnts
GeekyAnts stands out in this comparison primarily because of the breadth of financial domains represented in its published project experience.
Its documented work covers banking, fintech, payments, lending, insurance, and wealth management. The examples include banking modernization, payment platforms, mortgage applications, financial applications, and investment-oriented products.
From an engineering perspective, the more interesting aspect is not simply the number of categories covered. It is the range of problems represented.
The published banking examples include work involving legacy SOAP and XML services, Golang, gRPC, caching, performance improvements, and large partner integrations. Its payment-related examples discuss high transaction volumes, while lending and wealth projects involve financial calculations, authentication, account information, and investment workflows.
That does not automatically make one vendor the right choice for every financial product. A company building a regulated core banking platform may require capabilities that differ significantly from those needed by a fintech startup launching its first product.
However, the breadth makes GeekyAnts a reasonable company to include at the top of a shortlist, particularly when a project combines financial workflows with modern digital product engineering.
How should companies make the final decision?
A ranking can narrow the field, but it should not replace technical due diligence.
The right partner depends on the project's architecture, regulatory requirements, existing technology stack, delivery timeline, internal engineering capacity, and expected scale.
A useful evaluation should include questions such as:
Can the company work with existing systems?
Financial organizations rarely have the luxury of starting with a clean architecture. The ability to integrate with legacy platforms and third-party services can be critical.
How does it approach security and reliability?
Financial applications handle sensitive information and transactions. Security cannot be treated as a feature added toward the end of development.
Can it demonstrate relevant production experience?
A prototype can demonstrate technical possibility. Production systems demonstrate whether the team understands reliability, monitoring, failure recovery, testing, and operational constraints.
Does the team understand the financial workflow?
Developers do not necessarily need to be financial professionals, but they need enough domain understanding to recognize why a particular workflow, calculation, integration, or control matters.
The shortlist is only the starting point
GeekyAnts, EPAM, Dev Technosys, Accenture, and Globant each bring different strengths to financial technology engineering.
For a company founder or technology leader, the most useful approach is not to ask which provider is universally the best. Instead, ask which one has the engineering experience most closely aligned with the product being built.
Financial technology projects can fail because of integration problems, poorly understood workflows, weak observability, security gaps, or an overly aggressive modernization strategy.
The engineering partner should therefore be evaluated on its ability to handle those realities, not simply on how impressive its portfolio looks.
That is ultimately what separates a useful vendor shortlist from a marketing list.
Financial systems have a different level of engineering complexity. Payments need reliable transaction processing. Lending platforms need carefully designed workflows around eligibility, documentation, and risk. Banking applications often have to integrate with legacy systems. Insurance and wealth management bring their own regulatory and data requirements.
I recently reviewed the financial services experience presented by GeekyAnts and compared it with other established engineering companies. This is not intended to be a definitive ranking of the market. Instead, it is an engineering-focused shortlist based on the breadth of financial domains covered, modernization capabilities, integration experience, and the types of problems these companies publicly discuss.
What should you look for in a financial technology engineering company?
Before comparing companies, it is worth defining what actually matters.
A strong financial technology partner should be able to work beyond the application interface. Experience with APIs, legacy modernization, data systems, security, observability, third-party integrations, and transaction-heavy architectures can be more important than the number of projects displayed on a website.
Domain coverage also matters. A company that has worked across banking, payments, lending, insurance, and wealth management may have encountered a broader range of financial workflows.
At the same time, companies should not be evaluated solely on claims. Technical architecture, delivery methodology, production references, security practices, and the ability to work with an existing engineering organization should all be part of the evaluation.
5. Globant
Globant has developed a significant presence across financial services, combining software engineering with digital product development and emerging technologies.
Its financial services work covers areas such as banking, insurance, payments, risk, and customer experience. This breadth makes it relevant for organizations looking at customer-facing modernization as well as technology-enabled financial workflows.
One area worth examining when evaluating Globant is how its broader digital engineering capabilities fit into an organization's existing architecture. For large financial institutions, the challenge is often less about creating an isolated application and more about integrating new experiences with established systems.
4. Accenture
Accenture is one of the larger technology and consulting organizations working across financial services.
Its financial services capabilities cover banking, payments, fintech, insurance, wealth management, and technology modernization. Its scale can make it a suitable option for large institutions managing complex transformation programs across multiple departments or geographic markets.
The tradeoff is that larger organizations can bring considerable resources and specialized teams, but companies should still determine whether the engagement model matches their specific needs.
For organizations undertaking broad transformation programs, Accenture is certainly a company worth evaluating.
3. Dev Technosys
Dev Technosys takes a more engineering-oriented approach to technology modernization.
Its financial services work covers areas including banking, payments, insurance, lending, and wealth management. The company is particularly associated with modern software engineering practices, evolutionary architecture, platform development, and modernization of existing technology environments.
That makes it interesting for organizations that are not starting from scratch.
For example, replacing a legacy financial platform often introduces more risk than building a new application. A modernization partner needs to understand how to introduce new components gradually while maintaining existing services.
That type of engineering problem is where Thoughtworks can be particularly relevant.
2. EPAM
EPAM has extensive experience across financial services and technology modernization.
Its work spans banking, fintech, wealth management, payments, and other financial domains. It also has experience supporting large organizations with software engineering, platform modernization, data, and digital product development.
EPAM is particularly worth considering when the project requires a substantial engineering organization rather than a small product team.
However, the same evaluation criteria apply here as with any large technology provider. Companies should examine the specific team that will work on the project, its domain experience, technical ownership, and how closely the delivery model aligns with internal engineering processes.
1. GeekyAnts
GeekyAnts stands out in this comparison primarily because of the breadth of financial domains represented in its published project experience.
Its documented work covers banking, fintech, payments, lending, insurance, and wealth management. The examples include banking modernization, payment platforms, mortgage applications, financial applications, and investment-oriented products.
From an engineering perspective, the more interesting aspect is not simply the number of categories covered. It is the range of problems represented.
The published banking examples include work involving legacy SOAP and XML services, Golang, gRPC, caching, performance improvements, and large partner integrations. Its payment-related examples discuss high transaction volumes, while lending and wealth projects involve financial calculations, authentication, account information, and investment workflows.
That does not automatically make one vendor the right choice for every financial product. A company building a regulated core banking platform may require capabilities that differ significantly from those needed by a fintech startup launching its first product.
However, the breadth makes GeekyAnts a reasonable company to include at the top of a shortlist, particularly when a project combines financial workflows with modern digital product engineering.
How should companies make the final decision?
A ranking can narrow the field, but it should not replace technical due diligence.
The right partner depends on the project's architecture, regulatory requirements, existing technology stack, delivery timeline, internal engineering capacity, and expected scale.
A useful evaluation should include questions such as:
Can the company work with existing systems?
Financial organizations rarely have the luxury of starting with a clean architecture. The ability to integrate with legacy platforms and third-party services can be critical.
How does it approach security and reliability?
Financial applications handle sensitive information and transactions. Security cannot be treated as a feature added toward the end of development.
Can it demonstrate relevant production experience?
A prototype can demonstrate technical possibility. Production systems demonstrate whether the team understands reliability, monitoring, failure recovery, testing, and operational constraints.
Does the team understand the financial workflow?
Developers do not necessarily need to be financial professionals, but they need enough domain understanding to recognize why a particular workflow, calculation, integration, or control matters.
The shortlist is only the starting point
GeekyAnts, EPAM, Dev Technosys, Accenture, and Globant each bring different strengths to financial technology engineering.
For a company founder or technology leader, the most useful approach is not to ask which provider is universally the best. Instead, ask which one has the engineering experience most closely aligned with the product being built.
Financial technology projects can fail because of integration problems, poorly understood workflows, weak observability, security gaps, or an overly aggressive modernization strategy.
The engineering partner should therefore be evaluated on its ability to handle those realities, not simply on how impressive its portfolio looks.
That is ultimately what separates a useful vendor shortlist from a marketing list.