When preparing for market risk and counterparty risk desk roles, it's sometimes unclear where to focus your effort first. On one hand, pricing models provide the micro-level physics of how payoffs and sensitivities behave. On the other hand, risk engine mechanics focus on how those standalone position risks aggregate across complex portfolios under stressed conditions. Which would you prioritise learning? Drop your vote above, and share the reasoning behind your choice below!

Breaking into or moving between Market Risk and Counterparty Credit Risk teams requires a solid grasp of both theory and desk mechanics. Whether you are transitioning from a highly quantitative STEM background or navigating a lateral move between desks, the process demands a strong analytical baseline. To continue developing more meaningful quantitative sandboxes and practical workbooks, I want to align them with the specific challenges you are navigating right now. Where is the primary bottleneck in your current desk transition or interview preparation?

If you are looking to see what a highly visible, front-office facing market risk role looks like at a global investment bank, this opening at Selby Jennings is a great case study. This role bridges the gap between risk theory and the live trading floor, partnering directly with equity derivatives and corporate credit desks to manage complex, structured transactions. The desk reality for this role: - The Valuation & Greeks Layer: Because this desk heavily trades equity derivatives, you cannot just look at VaR numbers. You should understand how second-order risk sensitivities like Gamma, Vega, and Volga behave during sudden market gaps. - Structured Transaction Approvals: "Pre-trade review" means you are the guardrail when a trader wants to execute a complex, multi-leg structured transaction. You should be able to identify where the risks/exposures are and what model assumptions might break down under extreme stress. - Regulatory & Capital Impact: Monitoring/reporting Risk-Weighted Assets (RWA) and stress testing is one part; it's also understanding how structured trades impact the bank's capital efficiency and balance sheet limits. Tips on how to prepare: Expect interview questions to focus heavily on the pricing and hedging of equity options and how option risks change with the market. Also think about how you would risk-manage a portfolio that is short correlation during a sudden market selloff. Link to Apply: View the full job description and apply here

When macro environments shift rapidly, relying on long-term historical averages can leave a risk desk exposed to sudden spikes in asset volatility. If you want your risk metrics to better reflect current market stress, which approach offers the most balanced solution? Drop a comment below sharing your perspective on these approaches!