InsurTech
Specialist recruitment for insurtech, where insurance meets data and technology
Digital insurers and insurtech firms come to us for the talent where insurance expertise meets data and technology: actuarial and pricing, model risk and AI governance, fraud and claims analytics, risk, and the data science built around insurance. It is the part of insurtech that decides whether a product is priced and governed soundly, and it is exactly what we do best.
Why insurtechs work with us
Since 2014, with deep insurance and actuarial expertise, specialist in insurtech actuarial and pricing, model risk and AI governance, fraud and claims analytics, and insurance data science.
Since 2014
deep insurance and actuarial expertise
80%
screening ratio, candidates we submit get interviewed
85%
joining ratio, offers that become joiners
Domain + data
the blend insurtech turns on
The lane we own
How does EliteRecruitments help insurtech companies hire?
InsurTech firms hire differently from both traditional insurers and pure technology companies. Many of the roles that decide whether a digital insurer succeeds sit between disciplines rather than within them: pricing teams need actuarial expertise and data science, claims functions increasingly depend on analytics and automation, and AI driven underwriting requires both technical capability and strong governance. EliteRecruitments helps digital insurers, managing general agents and insurtech firms hire exactly these blended profiles, across actuarial and pricing, model risk and AI governance, fraud and claims analytics, insurance data science, and the leaders who run these functions.
There are excellent recruiters built around the pure technology side of insurtech, the product managers, the platform engineers, the growth specialists, and they do that work well. We are honest that this is not where our edge is. Our edge is the other half of insurtech, the half that decides whether a digital insurer prices its products soundly, governs its models properly, detects fraud, and turns claims and risk data into good decisions. That half runs on actuarial, risk, analytics and governance expertise, and it is exactly what we have always done in insurance.
This matters more in 2026 than ever. The insurtech market has matured from disruption to execution: AI is now embedded infrastructure across underwriting, claims, pricing and fraud, and the questions that decide success are increasingly about governance, model risk, auditability and whether a firm understands insurance deeply enough to apply technology where it actually matters. The hardest insurtech roles to fill are rarely the pure engineering ones. They are the ones that need someone who understands both the insurance and the technology, and that blend is exactly what we screen for.
Why it is different
Why insurtech hiring is different
InsurTech sits between two worlds, and its most important roles sit between them too. A pricing role for a digital insurer is part actuary and part data scientist. A model governance role needs to understand both the model and the regulation around it. A claims analytics role needs insurance judgement and machine learning. A fraud role needs both investigation sense and data science. These blended profiles are some of the hardest to fill, because most recruiters cover either the insurance side or the technology side, not both.
These blended profiles operate within smaller talent pools and are often difficult to assess through traditional recruitment methods. It is why insurtech recruitment needs more than a generalist technology hiring approach. It needs someone who understands insurance deeply enough to know which technical skills actually matter, and how the two sides fit together. That is exactly the judgement we bring.
The roles we recruit
The roles where insurance meets technology
Because we run deep actuarial, risk and analytics practices side by side, rather than as separate businesses, we can fill the insurtech roles that fall between them. For an insurtech, that means one specialist partner for the cross functional roles that are otherwise the hardest to brief and the slowest to fill.
Actuarial and pricing for digital insurers
Pricing, reserving and product actuaries building and running the pricing behind digital and embedded insurance products.
Actuarial practiceModel risk and AI governance
The validation and governance of the pricing, underwriting and claims models insurtechs increasingly run on, a fast growing area as AI moves into the core of insurance.
Risk and Financial AdvisoryFraud, claims and risk analytics
Fraud detection, claims analytics and the data science behind faster, fairer claims and risk selection.
Analytics practiceUnderwriting and risk for digital products
The people designing risk selection for continuous, usage based and parametric products.
Underwriting and ClaimsInsurance data science and analytics
The analysts and data scientists building predictive pricing, claims and customer capability for insurers and insurtechs.
Analytics practiceRisk, compliance and governance leadership
The chief risk, actuarial and analytics leaders who keep a fast moving insurtech sound and well governed.
Leadership HiringWe understand a digital insurer’s pricing lead as both an actuary and a data hire, a model governance role as both a risk and a technical hire, a claims analytics role as both an insurance and a data hire.
Where InsurTech firms struggle to hire specialist talent
Six pressures shape almost every InsurTech search. The map below shows them at a glance, and the detail follows.
Scarce hybrid talent
Insurance meets tech
AI governance gap
Hard to assess roles
Fierce competition
Insurers and big tech
Funding swings
Boom and freeze hiring
Retention pressure
Poaching and attrition
Shifting ground
New rules, new products
Talent supply
The smallest pool in the market
The hardest InsurTech hires sit where insurance and technology overlap, and that overlap holds one of the smallest talent pools in the market. Actuaries with machine learning skills, underwriting specialists working with AI, product leaders with digital insurance experience and engineers who understand regulated environments are all scarce and all heavily courted. InsurTech firms compete for them against traditional insurers building digital teams, FinTechs, AI startups and major technology employers, which keeps salary pressure persistently high.
Talent supply
AI adds a newer layer of scarcity
The rapid adoption of AI has added a newer layer of scarcity. Model governance, explainability, validation, data privacy and regulatory compliance now demand expertise spanning technology, risk and insurance regulation, which makes these roles difficult to define, assess and recruit for. Wider shortages of AI, machine learning, data and platform engineers across the whole economy compound the problem.
Market pressure
Funding cycles unsettle every plan
Funding cycles make planning harder still. Investment rounds trigger rapid hiring, while slower funding periods shift priorities toward profitability and selective, implementation focused recruitment, so workforce plans rarely stay stable for long. Assessment itself has become more difficult as firms adopt skills based hiring while trying to separate genuine expertise from inflated or AI generated CVs.
Operating environment
Retention and shifting ground
Retention carries its own pressures. Beyond salary, specialists increasingly expect equity participation, flexible working and meaningful progression, and continuous poaching in major technology hubs drives attrition and salary inflation. Firms must also navigate jurisdiction specific insurance regulation, localisation requirements in markets such as the UAE, a weakening junior talent pipeline and AI skill requirements that change faster than most role definitions.
The bottom line
Demand keeps outrunning supply
Reported market commentary consistently describes cyber insurance, embedded insurance, climate risk, parametric products and health InsurTech expanding faster than the pool of experienced professionals, which is what makes specialist hiring one of the industry’s most persistent challenges.
From disruption to execution
What is driving insurtech hiring in 2026
The shape of insurtech talent is being driven by a clear shift. Reported industry coverage describes a 2026 insurtech market that has moved from disruption to execution, where AI is no longer a pitch but embedded infrastructure across underwriting, claims, pricing and fraud, and where governance, model risk, auditability and explainability have become the questions that decide success. Embedded insurance, parametric products and continuous, usage based underwriting are reshaping how insurance products are distributed, priced and governed, creating demand for professionals who combine insurance expertise with analytical and technical capability. The firms that win are the ones that understand insurance deeply enough to apply technology where it genuinely matters.
Every one of those shifts increases demand for exactly the talent we are strongest in. Embedded and usage based products need actuarial and pricing depth. AI in underwriting and claims needs model risk and governance. Fraud and claims transformation needs analytics. Continuous underwriting needs risk and data science. As insurtech matures, the scarce and valuable roles are moving toward the insurance domain and data intersection, which is our home ground rather than the pure technology layer.
The India edge
Why India makes this lane strong
India is one of the most dynamic insurtech markets in the world, and it is the firm’s home market. Reported industry estimates describe an Indian insurtech sector worth around ten billion dollars and growing very fast, among the largest globally, led by digital first insurers built on data driven underwriting and by aggregators reshaping how insurance is bought. India’s low insurance penetration makes the opportunity large, and reported commentary consistently points to demand for actuarial skills, pricing, product and data science around risk modelling, exactly the functions we recruit for.
Many of the skills now being developed in India are the same skills increasingly sought by digital insurers globally. Actuarial modelling, insurance data science, AI governance, fraud analytics and risk capability are becoming internationally transferable disciplines. The capability centre channel adds to this: international insurers and insurtechs build actuarial, analytics, risk and technology capability in India, and as AI moves into the core of insurance, much of that model risk, pricing and analytics work is being built there. Our capability centre pages cover that journey in depth.
Why insurtech leaders choose us
Why insurtech leaders choose EliteRecruitments
InsurTech hiring is different from general recruitment, and even from general technology recruitment. The roles that decide whether a digital insurer succeeds, in pricing, model risk, analytics and governance, need both real insurance depth and the technical fluency to back it. Insurtechs work with us because we understand these roles as connected functions rather than separate silos, because we assess genuine capability rather than job titles, and because we are honest about our lane.
Who we serve
Who we hire for in insurtech
Digital first insurers building pricing, model risk, analytics and governance capability. Managing general agents and embedded insurance providers designing risk selection for new products. Insurtech firms and the insurers partnering with them. And the capability centres where insurers and insurtechs build these functions in India. We work with insurtechs at every stage, from a single critical actuarial, model risk or analytics hire to building a function.
Most of our insurtech work is in India, where our depth is greatest and where the insurtech market is among the most dynamic in the world, and we also support insurtechs in the UAE, where we are active and growing, and selectively in the UK and the USA. Where a fintech is building insurance products, the insurtech and fintech stories meet, and we cover the wider fintech picture on our FinTech page.
How we assess
Built to assess the blend
The blended insurtech roles are exactly the ones a generalist gets wrong, because they need someone who can judge both the insurance domain and the technical depth at once. We assess genuine capability across both sides, the actuarial, risk or underwriting judgement and the data, analytics or governance depth, before any profile reaches you. That discipline is why our placements last: we screen at an 80 per cent rate and our candidates join at an 85 per cent rate, and since 2014 we have had to return fewer than fifteen fees because a placement left early. In a fast moving market where the right blended hire is scarce and the wrong one is expensive, that means the specialist you hire is far more likely to be the right one, and to stay. See how we work
Founder led
Led by a founder who knows this work first hand
EliteRecruitments was built by Shagun Gupta on actuarial recruitment, the discipline that sits at the heart of how insurers price and manage risk, including the digital insurers reshaping the market. She presides over all four specialist practices, with her deepest personal expertise in risk and genuine depth in analytics and audit, which is precisely the insurance meets data blend that insurtech hiring turns on. She built the firm to run these practices together rather than as silos, and that is what lets it fill the cross functional insurtech roles others cannot. For an insurtech, that means dealing with a firm whose founder understands the hardest part of the brief from the inside.
Proof
Built on the same insurance foundations
Our proof in insurtech comes less from a standalone insurtech practice and more from deep experience in the actuarial, pricing, risk and analytics functions that digital insurers rely upon every day. We have recruited pricing and reserving actuaries, risk and model professionals, fraud and claims analytics talent, and data scientists for insurers and financial services organisations, and that expertise transfers directly to insurtech.
Pricing Actuary
Digital insurer · Bangalore
Model Risk Lead
InsurTech · Mumbai
Claims Analytics Manager
Digital insurer · Gurugram
Insurance Data Scientist
Financial services · Pune
An illustrative insurtech search
Challenge. A digital insurer needed to strengthen its pricing and model governance at the same time, against a competitive market and rising regulatory attention on AI in insurance. Approach. We drew on our deep actuarial and analytics network, screened on both insurance and technical depth, and matched on long term fit. Outcome. The roles were filled across both functions, and the senior hires are still with the insurer and have grown in their roles more than two years on.
The future of insurtech talent
As AI moves into the core of insurance, a clear set of roles is emerging right in our lane: AI model risk, model and data governance, and the people who make sure automated pricing, underwriting and claims decisions are fair, explainable and compliant. Reported industry coverage describes governance, auditability and explainability becoming the questions that decide which insurtechs succeed, as regulators turn their attention to AI in insurance. Because this sits exactly where insurance, risk and analytics meet, it is a natural extension of what we already do. More on our Risk and Analytics pages.
Common questions
Frequently asked questions
How does EliteRecruitments help insurtech companies hire?
Does EliteRecruitments recruit insurtech engineers and product managers?
Why use a specialist for insurtech hiring instead of a general tech recruiter?
What is the connection between insurtech and the firm’s insurance and fintech work?
Does EliteRecruitments help insurtechs build capability centres in India?
Do candidates pay any fees?
Start a conversation
Talk to us about your insurtech hiring
If you are hiring for the part of insurtech where insurance meets data and technology, the pricing, model risk, governance, fraud, claims and analytics roles that are hardest to fill, we would like to help. It is the part of insurtech that decides whether a product is priced and governed soundly, and it is exactly what we do best.
Thank you, we will be in touch shortly.
Your note goes to Shagun and the insurance desk directly.