Summary
Investment operations face a fast-accelerating talent shortage as experienced professionals retire and too few new entrants develop the skills required. Traditional approaches such as offshoring, admin outsourcing, and pure technology add new constraints and can deepen the deficit. Firms now need a modern operating model that supports deeper expertise, transparency, and long-term resilience.
Managing investment operations talent can seem like managing an orchestra. Imagine your veteran musicians are retiring, and new performers aren't being trained. But your audience wants a more demanding repertoire. Your challenge is to figure out who should play which instruments and parts.
This situation reflects the reality facing investment operations today. But the traditional solutions firms have relied on, such as geographic arbitrage by offshoring, administrator outsourcing, and pure technology plays, only push the talent problem down the road. In many cases, those solutions have deepened the talent deficit.
The talent crisis isn't new, but it's accelerating in ways that demand attention. One in two jobs in financial services as a whole went unfilled in June 2025, for example, according to the U.S. Chamber of Commerce.i
The root of the problem is that talent is aging out of the market, and these roles aren't being populated with young entrants. Young people entering the workforce are often unaware that these types of roles exist, unless they have family or connections in the industry. This gap in new talent leads to underqualification on the front lines, with fewer resources able to rise into management and leadership roles.
The operators who staff today's investment operations are no longer accountants and finance professionals. Most of them are technology savvy in some capacity, with exposure to both technical systems and business requirements. This ability to bridge the gap between technical person and business user is what's needed now, but this type of persona is scarce and difficult to find.
The scarcity problem is compounded by fierce competition. Finance employees often want to get into front-office roles, and tech folks gravitate to Meta, Google, and other major technology companies. At the top end of the market, big hyperscalers are investing massive amounts into AI talent development, offering multimillion-dollar signing bonuses in some cases.ii Industry leaders like BlackRock and S&P are securing talent by acquiring firms, further constraining the available pool. Where firms do have the ability to pull in a tech person and train them on the business case, it means longer time to productivity.
Meanwhile, the entry-level pipeline presents its own challenges. It's hard to find entry-level talent with 3 to 5 years of experience. Most candidates have less than 2 years in the investment industry. It takes as much as 9 months to fully on-ramp them, depending on how ambitious and curious they are. If there's a real deficit at the entry level, then there are fewer people to move into more senior positions, to develop professional judgment, even to figure out the basics like whether the output from an automation makes sense or not.
If the traditional recruiting approach of hiring from accounting or finance backgrounds is outdated, one scenario is to expand into math and engineering talent pools, but this shift means rethinking how we develop operations professionals. A recent CFA Institute article noted that 87% of financial firms were already using skills-based hiring rather than experience-based,iii suggesting a deep shift in recruiting priorities.
Faced with these talent constraints, firms have pursued three primary strategies over the past two decades. Each offers some value, but none fully address the underlying challenge.
For the last 20 years, we've been outsourcing talent pools to other geographic locations. But issues arise when managing these distributed teams. There are persistent challenges around knowledge transfer, high attrition, and time zone inefficiency.
Investment operations require deep domain expertise that's difficult to replicate remotely, and real-time problem-solving becomes challenging when teams are geographically dispersed. Additional offshore offices can compensate, but it's expensive and takes years to get that type of infrastructure in place securely and done the right way. Firms may not want to keep expending resources on trying to diversify geographic locations while tackling regulatory and political risks.
Within hedge funds, investment funds, RIAs, and private markets, most firms outsource their book of record to an administrator. Some do this for regulatory reasons, while others do it as a safeguard. While administrators serve an essential function, many firms struggle when they outsource other operational tasks to these providers.
Common challenges include delays in settling books, lack of customization in reports, slow turnaround times for front office requests, rigid workflows, and constrained access to data that could otherwise add value. What a firm can do is often limited by the SLAs and processing time of the administrator, with little transparency in processing or flexibility in output. Three operational areas prove particularly problematic:
Pure technology solutions in lieu of people present their own risks. Many vendors create a similar black box approach to the admin problem. If technology is not entirely transparent, such as not offering full administrative privileges to see underlying values and calculations or make updates, you're back in the same bucket as with the admin. You can't follow the full lineage within accounting and reconciliation.
In addition, some technology providers are not flexible enough. Investment operations are highly specialized, so one-size-fits-all solutions often create new inefficiencies. Technology adoption also requires significant organizational change that many firms underestimate. The customization expectation has shifted dramatically. For the longest time, we've been operating on a SaaS model where you get access to a tool, but that tool is basically the same for everyone who uses it.
This gap explains why Snowflake and Databricks have been so powerful. On the one hand, they give you access to tools, configurations, and flexibility. But you need expertise and capable operators of the technology. It shifts the talent gap but doesn’t eliminate it.
Today’s talent shortage already squeezes investment operations teams. Teams are still getting good work done. But we're facing a narrowing window to act before the knowledge gap becomes unbridgeable. Strong talent is slowly aging out of the industry, without newer talent “aging in.” Experienced team members who understand the nuances of reconciliation breaks across esoteric derivatives, people who can spot when a margin call doesn't pass the smell test or know how accruals should flow through complex deal structures, will become harder to find without finding and training the next generation.
Geographic arbitrage, admin outsourcing, and pure technology solutions each have their place. However, they all fall short when the repertoire becomes too demanding. The question then becomes, “What does a modern operating model look like when traditional solutions aren't sufficient?”
This is the first installment in a two-part series on the talent crisis in investment operations. In the second piece, we will dive into exactly what a modern operating model entails and how firms can best position themselves for success.
Bernardo Cabada
As Vice President, Sales Operations & Enablement at Arcesium, Bernardo leads in showcasing the company's cutting-edge capabilities through executive-level engagements, delivering compelling presentations, technical demonstrations, and proof-of-concepts. His proficiency extends across crucial areas of middle- and back-office investment operations, with a particular emphasis on data governance and enterprise data management for investment managers and asset owners.
Sources:
[i] U.S. Chamber of Commerce, 2025. https://www.uschamber.com/workforce/understanding-americas-labor-shortage-the-most-impacted-industries
[ii] Fortune, 2025. https://fortune.com/2025/06/18/metas-100-million-signing-bonuses-openai-staff-extreme-ai-talent-war/
[iii] CFA Institute, 2025. https://www.cfainstitute.org/insights/articles/financial-sector-skills-revolution
No spam. Just the latest releases and tips, interesting articles, and exclusive interviews in your inbox every week.