Bhavna Verma on the Actuarial Mind Behind Life Insurance

Life insurance is sold in the present and tested in the future. A policy may look successful at the point of sale, profitable when it is booked, and useful when it grows the business. The real test arrives much later, when a claim is filed, an annuity begins, a maturity payout becomes due, or a family depends on a promise made years earlier.

For Bhavna Verma, Chief and Appointed Actuary at IndiaFirst Life, leadership in life insurance begins with consequences that arrive long after the sale. Her current seat brings actuarial judgment into product choices, liability valuation, solvency, financial reporting and the larger question of whether a promise made today can hold over time. Across two decades in the actuarial profession, including at Milliman, Towers Watson (now Willis Towers Watson or WTW), Kotak Life and IndiaFirst Life, her work has moved from technical analysis to institutional decision-making.

It is said that actuaries make financial sense of the future.
“On the outside what seems like conviction is actually the result of deep research.”

For Bhavna, conviction is built through research, scenario testing, technical discipline and proximity to detail. In a business that makes promises across decades, depth protects the institution from turning today’s growth into tomorrow’s liability.


Depth Before Decision

Bhavna entered actuarial science as a mathematics graduate from St. Stephen’s College, Delhi University, looking for a specialised field where statistical thinking could be applied to real business problems. Her first role at Milliman was in health insurance, then a developing actuarial area in India where data availability was limited and techniques were still evolving.

The work taught her to make decisions before every variable was settled, while staying clear about the assumptions behind those decisions.

She calls it progressing without perfection.

Waiting for perfect data can delay action, while moving loosely can create risks that appear years later. Bhavna’s approach sits between paralysis and overconfidence: move with explicit assumptions, document limitations, build a monitoring loop, and stay ready to revise when experience changes.

Her later work at Towers Watson (WTW) added rigour through more mature insurance markets, especially around checks, documentation, assumptions and methodology. The combination shaped a practical discipline: when certainty is unavailable, the quality of leadership depends on the quality of assumptions and the wisdom built from experience.

In a long-duration business, a weak assumption rarely remains small. Over time, it becomes cost, strain, mispricing or a decision the institution has to repair.

The Story Inside the Product

Bhavna’s cross-market work changed how she reads the insurance customer. One lesson stayed with her from Asian markets: life insurance must be read as a purpose-led product, with return comparison forming only one part of the decision.

“Life insurance products are also about stories.”

A child plan is bought because the payout structure carries a purpose the family understands: education, continuity and a future expense that cannot be left to chance. A term insurance product is income replacement for a family after the earning member is gone. An annuity converts longevity risk into planned income.

India is price-sensitive and competitive. Customers compare returns, distributors respond to incentives and companies manage margins carefully. Bhavna’s point is that life insurance loses relevance when it behaves like a generic return product. Its real strength lies in protection, structure, discipline and household purpose.

She sees term insurance and annuities as areas where the industry has made meaningful progress. Indian term products have become competitive and feature-rich, with extended cover, exit flexibility, wellness-linked benefits and health management services. Annuities are becoming more relevant as longevity rises, family structures change and formal pension coverage remains limited.

Savings products require a more careful reading. The underlying benefit structure may sometimes be similar, while the story changes around a child plan, an income plan or a spouse-income proposition. Need fulfilment is part of insurance design, and the industry has to ask whether the story helps the customer act on a real need or simply gives familiar logic a new label.

Bhavna’s idea of actuarial science and art becomes especially relevant here. The numbers define what a product can responsibly promise. The story determines whether a household understands why the promise matters.

From Recommendation to Execution

Bhavna’s move from consulting into Kotak Life in 2015 became one of the most important shifts in her professional thinking. Consulting had trained her to analyse and recommend. Industry taught her that a correct recommendation still has to survive organisational reality.

“The journey from recommendation to execution is extremely important.”

Inside an insurer, a technically sound answer should work within risk appetite, capital constraints, commercial priorities, distributor realities, regulatory expectations and management’s understanding of trade-offs. A recommendation becomes useful when it becomes executable.

Her example is financial risk hedging. Theory may suggest that financial risk should be hedged using available instruments. Inside a business, the real questions begin after that principle is accepted: how much, at what cost, under what conditions and with what consequences for the organisation’s risk appetite?

For Bhavna, actuarial science becomes actuarial art at the point of application. The method may be precise, but its usefulness depends on institutional context.

At Kotak Life, where she led actuarial reporting and enterprise risk management, she learned that technical expertise alone rarely creates influence. Solvency, risk appetite, actual-versus-expected experience and financial guardrails have to become measurable actions and consequences that other functions can understand.

“Technical case alone never really moves a room. A technical case within a business context is generally what moves a room.”

The distinction between expertise and influence sits at the centre of her leadership view. Expertise creates authority, but translation creates influence. A technical leader has to convert specialist knowledge into decisions that other stakeholders can evaluate, own and act on.

Bhavna often holds information that others in the room may lack. Her impact lies in making that information usable before the decision is made, rather than after the cost of the decision begins to appear.

Holding the Long-Term Line

The Appointed Actuary role is critical in a long-tailed business. Product pricing, liability valuation, solvency, shareholder value and customer protection are all based on long-term forecasts. A decision made today can affect policyholders and financial statements for many years.

Bhavna describes the role as a fine balance. It sits between customer protection, commercial growth, regulatory expectations and shareholder returns. These interests may move in different directions, so the larger responsibility is to keep the total system balanced through engagement, education, guardrails and monitoring.

Her working frame is the actuarial control cycle: frame the problem, create the solution, monitor emerging experience and feed that learning back into future action. In Indian life insurance today, that cycle is moving faster because several variables are shifting at once: mortality after Covid, rising longevity, principle-based regulation, possible risk-based capital and IFRS-linked reporting changes, and the growing use of AI across underwriting, pricing, claims and service.

When asked what saying “not yet” costs inside an institution, Bhavna frames the answer through maturity rather than conflict. She believes the Indian life insurance industry has matured. Listed insurers, analyst scrutiny, stronger bottom-line focus and the experience of policies maturing over time have made management teams more aware of viability and long-tail value.

The tension remains, but its form has changed. The cost of saying “not yet” may be less visible than in the earlier phase of the industry, while the need for that line remains built into the design of the role.

Discussing financial reporting, Bhavna puts the point sharply:

“Accounting is reality.”

If a new accounting framework changes how profit, liabilities and business strain are recognised, it can influence how management sees the business itself. Bhavna’s work sits at that translation point between regulation, reporting, risk and business behaviour.

When Assumptions Start Moving

When asked which actuarial assumption she would challenge more sharply today, Bhavna points to mortality. For many years, mortality in Indian life insurance had a certain steadiness. The industry had a reasonable understanding of who bought insurance, how mortality experience emerged and how pooled studies could guide pricing.

Covid disturbed that confidence. It brought forward deaths that may otherwise have occurred later, which is why mortality looked better for some insurers in the year or two that followed. Bhavna is careful with that signal. A short period of favourable experience does not automatically become a new assumption, especially when the long-term health effects of the pandemic are still being studied.

For actuaries, the practical lesson is that mortality now asks for greater humility. An assumption once treated with relative steadiness has to be watched more closely. In a business where products can run for decades, even a small shift in mortality or longevity can travel a long way through the book.

Judgment is the discipline of knowing when experience is credible enough to act on, and when the responsible answer is to keep watching.

The Cultural Barrier Behind Protection

India has expanded financial access, but access has not automatically become protection. Bhavna places the largest responsibility on customer psychology and awareness, with distribution economics as a secondary barrier. Products with higher ticket sizes and stronger upfront incentives often receive more distributor attention. Pure protection requires a harder conversation with the customer. Even when risk becomes visible, deeper household habits often remain unchanged: families may recognise the need for protection in moments of anxiety, but the conversation can fade once urgency recedes.

For Bhavna, the pattern reveals a cultural issue. Many Indian families avoid discussing death, financial planning, dependency and legacy. The product may be available; the household conversation often arrives late.

There is also a gap in how families calculate protection. Earlier, a common thumb rule suggested term cover of around ten times annual compensation. Bhavna says the industry now speaks closer to twenty to twenty-five times because families need to maintain the lifestyle the earning member created, along with covering liabilities.

“Insurance is not a glamorous product. It never will be.”

Insurance is trying to start conversations that many families have been trained to avoid. In a consumer environment shaped by speed and convenience, the proposition is emotionally difficult.

Bhavna believes these conversations should begin early, even at school, because money management and relationship management are two fundamental life skills that shape adult life. Her position on mortality is direct:

“Death is the most fundamental reality of human life. What is there to shy away from?”

A family that cannot discuss mortality will struggle to prepare for it. A society that treats money as discomfort will remain underprepared even when suitable products exist.

Longer Lives Need Different Financial Thinking

Bhavna’s view on women’s financial preparedness begins with actuarial and behavioural realities. Women often live longer, their earning histories may be less continuous, and career breaks, caregiving responsibilities and health needs can affect their financial position over time.

In insurance, female mortality experience is generally better, and many protection products already reflect this through pricing discounts. She also points to persistency, where female customers often show stronger continuity in premium payment, although the segment remains smaller for many insurers.

Longer life also brings health and retirement questions. Women may live longer but still face specific health risks, which creates space for women-focused critical illness products, maternity complication covers and other specialised propositions.

Her own experience as a senior woman in a technical financial profession is pragmatic. She acknowledges that she has often been the only woman, or one of very few women, in the room, but she does not organise her professional identity around that reality.

“Work life will have to integrate for a woman. It will never balance on a day-to-day basis.”

The same thinking extends to India’s larger retirement challenge. The country continues to speak about its young population, but longer lives are already changing retirement economics. Annuity products can last thirty, forty or fifty years, and if longevity improves faster than expected, pricing and reserving implications can become meaningful.

For customers, the underestimated risk is often lifestyle maintenance: inflation, health costs and the expense of sustaining the standard of living they expect. The larger gap sits in the informal sector, particularly gig workers who support the daily functioning of urban India but often remain outside formal retirement saving.

“Gig workers are actually holding up our lifestyles these days.”

If a large part of the workforce remains outside formal pension structures, longer life becomes a future vulnerability. Retirement provision has to move beyond the formal salaried worker.

Data, Precision and Fairness

AI and predictive analytics are already part of Indian insurance. Bhavna says insurers have been using such tools for years in fraud prediction, renewal propensity, underwriting scores and business problem-solving. The harder issue is how quickly to act on the data.

Actuarial work depends heavily on data credibility. A pattern may appear in a cohort before it is stable enough to influence pricing. An experience difference may be real, or temporary. A model may identify a segment, but the question remains whether there is enough evidence to price, underwrite or design a product around it.

For Bhavna, caution protects the institution from premature certainty.

Precision pricing creates a sharper debate because the same data that helps an insurer charge a more accurate price can also make it easier to exclude higher-risk lives. Bhavna’s position begins with the basic principle of insurance: risk pooling. Some cross-subsidy is part of how insurance works, while credible data can also justify charging the right price for the right risk.

The two ideas have to coexist. A market that overpools may under-reward better risks, while a market that oversegments may weaken access for higher-risk customers.

India’s insurance sector will need to manage that balance carefully as data improves and cater to segments at both ends of the market.

What the Signature Should Mean

When Bhavna speaks about what she wants her work to influence by 2035, she begins with the actuarial function itself.

“It is a business function.”

Actuarial work, in Bhavna’s view, shapes value inside a life insurer. In her current seat, that means helping the business understand what can be responsibly created, continued, repriced or withdrawn. Products are built and monitored through that lens, which is why she mentors her team to become business-oriented actuaries rather than technical specialists alone.

Her second priority is product relevance. The customer is changing quickly, technology is changing quickly, and insurance has to remain relevant for younger and more digitally native customers. Her third priority is financial awareness, because products work only when customers understand the need they are meant to address.

The harder question is how far actuarial leadership can reshape the customer conversation when the deepest resistance is cultural. Insurance can be better priced, better monitored and better delivered, but it still depends on a household being willing to confront risk before crisis makes the conversation unavoidable.

Indian life insurance is entering a decade that will test several assumptions at once. Mortality is being watched differently after Covid, longevity is changing retirement economics, AI is expanding the possibilities of segmentation, regulation is moving toward principles, customers are buying differently, the informal workforce needs retirement depth, and families still delay hard conversations about money and death.

Bhavna’s work brings these issues into one operating discipline: pricing uncertainty while protecting the human promise behind the product. Insurance needs better models, better conversations, stronger monitoring, product relevance and institutional judgment.

The promise is made in the present. The test arrives later. The institutions that hold up will be the ones that understood their assumptions before the future tested them.