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Answer why SWE and why Optiver

OptiverSoftware Engineer · Onsite
HardSoftware EngineerOnsiteBehavioral & Leadership

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This prompt evaluates behavioral and leadership competencies within the software engineering domain for low-latency or real-time systems, focusing on motivation, role fit, communication, self-awareness, and interest in trading/financial markets.

Behavioral Interview: SWE Intern at a Proprietary Trading Firm

You are interviewing for a Software Engineer internship at a high-frequency / proprietary market-making firm (an Optiver-style firm). The process bookends the technical and system-design rounds with two separate behavioral rounds, so your motivation, interests, and self-description need to stay consistent throughout.

Prepare strong, specific, credible answers for the five questions you will be asked across these behavioral rounds:

  1. Why software engineering?
  2. Why this firm (an Optiver-like market maker)?
  3. What are your interests — technical and/or markets?
  4. What is your biggest weakness?
  5. How would people you've worked with describe you?

Your answers must be credible for a low-latency, correctness-critical, real-time engineering environment and must be grounded in concrete examples from your own experience (projects, internships, coursework, competitions).

Constraints & Assumptions

  • This is an internship behavioral screen, so deep finance experience is not expected; demonstrated curiosity and fast learning are valued over claimed domain expertise.
  • Each spoken answer should run roughly 60–90 seconds — headline first, then one concrete example.
  • Strict honesty: never fabricate finance experience, metrics, or projects. Interviewers at trading firms probe specifics hard; a single invented number is a fast rejection.
  • The same self-description and stated interests will be heard by two different behavioral panels, so contradictions across rounds are a visible negative.

Clarifying Questions to Ask

  • Is this round purely behavioral/motivational, or will it mix in lightweight technical or markets questions?
  • How structured are the answers expected to be — a quick conversational reply, or a full worked example each?
  • Roughly how long should each answer be, and is there a hard limit on total round time?
  • Is the panel looking for finance/markets knowledge specifically, or primarily engineering motivation and self-awareness?
  • Should examples come specifically from software work, or are coursework, competitions, and side projects equally valid?

Hints

Hint 1

Answer scaffold: For each answer, lean on a tight structure: a one-line **claim** → a **specific example** (real project/role) → the **outcome/result** → a one-line **link back to why it matters for SWE at a market maker**. Behavioral frameworks like STAR (Situation, Task, Action, Result) or CARL (Context, Action, Result, Learning) are good skeletons for the example portion.

Hint 2

Make it firm-specific, not brand-specific: A good "why this firm" answer should fail the swap test: if you could paste the same answer into a FAANG application unchanged, it's too generic. Anchor on what is genuinely distinctive about engineering at a market maker — e.g. engineering quality directly drives P&L, brutally fast market feedback, deep low-level systems problems (networking/TCP-IP, concurrency, deterministic latency).

Hint 3

Weakness and "describe you" pitfalls: For the weakness, avoid the humblebrag ("I'm a perfectionist") and avoid anything that is a direct disqualifier for trading SWE (careless with details, rattled under pressure, dislikes changing requirements). For "describe you," prefer traits the floor actually rewards (reliability, ownership, calm-under-pressure, intellectual honesty) — and back each trait with one line of evidence rather than listing adjectives.

Follow-up questions

  • Tell me about a time you received tough or blunt feedback. What did you do with it?
  • Describe a bug or incident you debugged under time pressure. How did you isolate the root cause?
  • You said you're interested in low-latency systems — what would you build or measure first to learn where the latency in a system actually goes?
  • If you didn't get this internship, what would you do to be a stronger candidate next cycle?