Junior Quantitative Risk Analyst
Posted Aug 5, 2026 · We last checked this listing on Oct 6, 2026
Likely interview questions for this role
Written from this job description, not a generic list. Each one notes what the interviewer is really checking.
About your past
Tell me about a time you had to learn a new technical tool or concept quickly to finish a project.
What they are checking: speed of ramp-up given the role's steep learning curve into a highly abstract internal framework
Describe a project where you worked closely with software developers. What friction came up and how did you handle it?
What they are checking: ability to collaborate across a technical team with different priorities, since this role is built on that partnership
Tell me about a time your attention to detail caught a mistake others missed.
What they are checking: evidence of the detail-orientation the posting explicitly calls out
Tell me about a time you had to make a decision quickly with incomplete information.
What they are checking: whether the candidate can operate calmly when markets move faster than analysis allows
What draws you to risk specifically, rather than a trading or purely developer role here at Akuna?
What they are checking: genuine motivation and understanding of what the risk function actually does day to day
What would you do
Suppose a trading system starts sending orders that violate an exchange limit during volatile market conditions. What do you check first, and who do you talk to?
What they are checking: judgment under time pressure and understanding of escalation paths in a live risk incident
If market volatility suddenly triples overnight, what risk metrics would you want to look at first thing in the morning and why?
What they are checking: prioritization instinct and understanding of which risk measures actually matter in a stress scenario
If you noticed a discrepancy between the risk numbers your model produces and what a trader is seeing on their screen, how would you track down the source?
What they are checking: debugging mindset across data, code, and financial logic simultaneously
About the work
Walk me through how you would price a call option and what happens to that price as volatility increases.
What they are checking: whether the candidate has real grounding in options theory, not just memorized terms
Explain what delta, gamma, and vega mean to someone who has never traded options.
What they are checking: ability to communicate risk concepts clearly to non-specialists, since this role sits between traders and developers
Say you're given a large table of historical trade and position data in Python. How would you go about finding unusual spikes in risk exposure?
What they are checking: practical comfort with data manipulation and pattern-finding, not just theoretical stats knowledge
Write out, in words or pseudocode, how you would check whether a portfolio has breached a positional limit in real time.
What they are checking: whether the candidate can think in terms of automated systems and edge cases rather than one-off manual checks
How would you design an automated report that flags when a book's risk exposure crosses a threshold, and what would you do to make sure it doesn't cry wolf too often?
What they are checking: ability to think about false positives and practical usability, not just build something that technically works
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Practice this out loudThe full job description
As published by Akuna Capital.