How Pricing Quants Work with Vendor Models and Changing Markets
Summary
This discussion considers whether commercial derivatives-pricing software will reduce the need for pricing quants. The responses describe a changing role: less development of entirely new pricing formulas in some settings, and more adaptation of existing models to new market conditions, validation against specifications, interpretation of vendor outputs, and collaboration with software providers. Examples include handling negative rates, multiple curves, regulatory calculations, stress testing, capital impacts, and desk tools.
The answers also distinguish pricing work from quantitative roles in risk and hedge funds, where statistics, time series, econometrics, machine learning, market knowledge, and communication may matter more than pricing theory. They disagree in emphasis: one contributor expects fewer front-office hiring opportunities, while another argues that vendor tools still require expert oversight and consultation. These are personal industry observations rather than systematic employment data, and they reflect the contributors’ experiences rather than a universal forecast.
Key ideas
- Vendor pricing systems still require experts to interpret and validate model outputs.
- Pricing quants may adapt existing models to changing markets and regulatory needs.
- Some front-office quantitative work centers on risk tools, attribution, stress testing, and capital analysis.
- Risk and hedge fund quant roles may emphasize statistics, time series, or machine learning over derivatives pricing.
- The contributors offer differing views based on personal experience, not broad employment evidence.
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Full text
# Present and future role of pricing quants # Present and future role of pricing quants While looking up on quants, I came across many sources that cited 'pricing quants' as one of the biggest chunks among all quant positions. But then I also came across many software companies providing tools that they claim can price even exotic derivatives with exotic underlying. - Are there really such ready made modeling tools or at least a library of such tools that can be easily put together even by a trader? - If yes, what exactly is (or will be) the role of pricing quants, with advanced training in stochastic calculus etc? PS: There may be some overlap with the question Does pricing quant still have bright future? but that comes from an unrelated view point that exotic derivatives are shrinking, although the only answer there did mention 'software vendors' as one of the futures. ## Answer by Kiwiakos (score 13) https://quant.stackexchange.com/a/22112 FO is shrinking across the large investment banks. The market is not developing new products that will need new pricing formulas, if anything it is reverting to more vanilla structures. Nowdays FO quants typically hack existing models around the corners to manage new market conditions (change Sabr a bit to deal with negative rates, refine the treatment of Fed meeting dates, deal with many curves, etc). Also there are new regulatory requirements that affect the FO and engage FO quants. In addition the FO needs to provide tools/functionality for traders and desk risk managers to manage regulation. Things like better P&L attribution for FRTB, better treatment of shocks used for stress testing and stressed VaR, better alignment of sources for BCBS239, initial margins, 'what if'/ capital impacts, and more. This is again dev/db work but not pricing. FO quants are expensive, and good ones are hard to find. Therefore banks would not easily fire them in large numbers, however they can stop hiring new talent and recycle existing headcount. Fresh quants are hired in Risk to my knowledge. Actually, in many banks the FO has attempted to take over risk functionality. But this does not require pricing knowledge (actually the FO frame of mind might make things worse). For Risk you need good grasp of time series/ econometrics, statistics, economics, and a decent all-round understanding of FO models and market structure. You also need to be a good communicator. Quants are also hired in hedge funds. Again this does not require pricing, but stats, machine learning, basic finance and databases. Unless you work at a very particular place. This is obviously my personal experience (I am heading a team of quants in London). You can see that others here have a different perspective. ## Answer by SmallChess (score 5) https://quant.stackexchange.com/a/22110 There is absolutely bright future being a pricing quant, so don't make it a reason for you not doing a degree in financial engineering. Being able to buy a relative cheap (still not that cheap, eg: Numerix charges like a million...) solution for quantitative pricing doesn't mean you don't need a quant. This is like saying we don't need a bus driver because we can simply start off the engine and let it go. Pricing quants are needed to use those softwares, someone must be able to interpret the outputs. A pure software engineer wouldn't be able to interpret a volatility surface generated by a software. This is like we need a bus driver who understands how to control a bus. As far as I know, most of the quants spent most of the time on model validation and make sure they work comply with functional specification. They wouldn't spend all their time on stochastic calculus, they would learn and interact with other stakeholders in the business. There is indeed not much opportunity for pricing new derivatives. But we'd still need them for any quantitative task. Nowadays, most of the actual pricing code is done by external software vendors. But you'd still need a quant to be able to talk to the vendor! I used to work in a quantitative pricing vendor firm. It wasn't as advanced as you might have thought. We spent most of our pricing efforts in copying formulas from "The Complete Guide To Option Formulas". We actually spent most of our time on consultation, not actual pricing. ## Answer by Neeraj (score 2) https://quant.stackexchange.com/a/22109 I do not know about name of specific software that is being used by trader but you must have heard about Algorithm Trading. It involve use of advance techniques to identify trend and price differences in the securities through automated computer software. No human being is involved in execution of such trade. It rely entirely on use of software rather than human wisdom. Such software are expensive and beyond the reach of common investors but very common among big investment houses. Now, comes to your second question about role of Pricing Quants in future. Would computer eliminate the Qunats Experts in future? Answer is absolutely NO. Software are static but the market and the products traded in the market are dynamic. You always need some Quants Experts to price new evolving products, to understand and model the behavior of investors(which now has become important part of investment strategy) and for managing risk. Software are not entire solution to the problem. At the end you still need Quant Expert to code these algorithm in the software.
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