COMMENT: Forget Python, you need Clojure, F#, Scala and Elixir to earn the big money in finance
Careers in financial technology can be bewildering. So many languages, roles, and companies to choose from. All will pay relatively well. But what should you think when you’re pitched something out of your comfort zone? Should you niche down and specialise in a technology, methodology or obscure job? The short answer is yes. Absolutely.
So how do you go from a generalist to someone that actually has a value proposition?
In short, you need to specialise. This could be anything from evangelising test-driven development, coaching agile practices or - best - working in a different programming paradigm.
The Stack Overflow 2019 developer survey says there is a direct correlation between the least popular and highest paying programming languages. Four of the five top paying languages are the functional programming languages Clojure, F#, Scala and Elixir. These languages are at the very bottom of the popularity scale in the same survey. A quick perusal of eFinancialCareers technology jobs confirms the results of this survey - there just aren’t that many roles for functional languages. However, if you can programme in something like Clojure you’ll face less competition, the roles look pretty interesting, and you’re likely to get paid. You don’t need 100s or 1,000s of jobs - you need one.
A good example of where you might find a functional programming gig is the quantitative trading fund Jane Street. They use a functional language called OCaml as their primary development language. OCaml is about as niche as it gets – I’m going to hazard a guess that they don’t hire many developers that already know it. But like everything else, once you know one functional language, learning others is much easier. Scala is a relatively popular functional language due to its interoperability with Java - Morgan Stanley, for example, make heavy use of it. Your value proposition here could be, “I coach and help teams in adopting functional programming to increase developer efficiency and reduce runtime errors due to strict type systems”.
While everyone is rushing to learn Python, you might therefore want to plot a different course. There are many specific roles and domains within financial technology that you can specialise in. Banks are all in on cloud adoption at the moment so cloud architects and tooling experts will not be short of work. Alternatively, you might have been assigned a graduate role in a market data services team and then you become an expert in dealing with market data APIs, so you capitalise and decide to freelance consult on that.
Then, of course, there is all the standard financial engineering and modelling knowledge that can differentiate you from standard developers. I often find people who have spent entire careers becoming an expert in one particular asset class, or even things like regulatory regimes. Anything that has a discrete value proposition that is separate from your core skillset as a technologist will add to your value.
So, whatever your goals are, think about what problem you are solving for people and niche down. Specialising is not something that just entrepreneurs and freelancers do. It’s a way to have a career rather than just a series of gigs.
Graham Jones is the pseudonym of a technologist working for a U.S. investment bank in London
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