Financial Services
Fractional CTO for Financial Services
Fractional CTO for financial services, built around the constraint that defines the sector: every automated decision must be explainable and reproducible months after the fact.
- Regulations in scope
- 5
- Systems we integrate
- 5
- Typical first release
- 6 weeks
What changes when it is financial services
The first job is usually hiring. Getting your first two engineers right matters more than any architecture decision, because they will make most of the subsequent ones.
In financial services, every automated decision must be explainable and reproducible months after the fact. That single fact reshapes how fractional cto has to be built here, the guardrails, the approval points and the evidence trail are design inputs rather than things bolted on before go-live.
The workload we are most often asked to take on first is KYC and onboarding checks, usually integrated against core banking. We build the smallest thing that proves the case, put it in front of real users, and expand only what earns its keep.
Built by engineers who ship production systems, not by a practice that subcontracts the build. We hand over with runbooks, tests and a team that knows how it works, not a dependency.
The sector constraints we design around
- Defining constraint
- every automated decision must be explainable and reproducible months after the fact
- Regulations in scope
- RBI guidelines · SEBI regulations · DPDP Act 2023 · PMLA and AML rules · IRDAI where insurance applies
- Systems of record
- core banking · trading and OMS · loan origination · SAP and Oracle financials · regulatory reporting platforms
- Where we usually start
- credit memo drafting
Fractional CTO workloads in financial services
- credit memo drafting
- KYC and onboarding checks
- regulatory report assembly
- reconciliation
- client communication review
What is included
- Architecture and technical debt assessment with a prioritised plan
- Engineering hiring, role definition, screening and interview design
- Vendor and platform selection with explicit criteria
- Delivery process and quality standards your team can sustain
- Board and investor technical reporting in plain language
- A handover plan for when you hire full-time
Questions from this sector
Can we use AI in credit decisions?
With explainability, documented model governance and human review on adverse outcomes, yes. RBI expects you to be able to explain any decision that affects a customer.
How do you handle data residency?
Deployment inside Indian regions or on your own infrastructure, which is the usual requirement for regulated financial data.
How much time do we get?
Typically one to three days a month, scaled to what is happening. Fundraising, a migration or a hiring push warrant more; steady state needs less.
Will you help us hire a permanent CTO?
Yes, and we consider it part of the job. Defining the role, screening and handing over cleanly is the intended end state.
Can you do technical due diligence?
Yes. Both sides. Assessing a target before acquisition, or preparing your own codebase for an investor's review.
Other capabilities for financial services
- AI Agent Development for Financial Services
- Agentic Workflow Automation for Financial Services
- LLM Application Development for Financial Services
- RAG & Knowledge Retrieval for Financial Services
- Chatbot Development for Financial Services
- WhatsApp Bot Development for Financial Services
- Voice AI Agents for Financial Services
- Document Processing & IDP for Financial Services
- AI Copilot Development for Financial Services
- Predictive Analytics & Forecasting for Financial Services
Fractional CTO for financial services, worth a conversation?
Tell us the workload and the regulation it sits under. We will tell you what is realistic.
Or email bd@dtrasglobal.com · call +91 74118 77878
