← Sig Interview Insights

Sig·Software Engineer·Technical Phone Screen·Junior

JuniorPending
Jun 2026

Summary

Posted this looking for intel on SIG's trading system engineering internship pipeline. Recruiter call was relaxed, just some light motivation questions and a basic probability problem. Now prepping for a live C++ coding round and not totally sure what to expect.

Questions Asked (2)

Q1

Why are you interested in this role and company?

Adaptability & Ambiguity
Author's notes

Pretty standard opener, recruiter was casual about it.

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AI HintsAI Generated

Suggested Approach

Connect your personal interests and career goals to the company's mission and the role's responsibilities, emphasizing how you thrive in ambiguous, fast-paced environments. Show that you've done your research and can articulate specific reasons why Sig is the right place for you to grow and contribute.

Pro tip: Mention a recent company announcement or product update and tie it to your own experience or skills, demonstrating genuine engagement and proactive research. This shows you're not just looking for any job, but specifically want to be part of Sig's journey.

1. Express enthusiasm for the company's mission

Start by stating what specifically excites you about Sig's mission, product, or culture, using details from your research.

2. Align with the role's requirements

Explain how your skills and experiences match the Software Engineer role, particularly in handling ambiguity and adapting to change.

3. Highlight your adaptability

Give a brief example of a time you successfully navigated ambiguity or a rapidly changing situation, linking it to the company's environment.

4. Connect to long-term goals

Share how this role fits into your career aspirations and how you see yourself growing with Sig.

5. Close with a forward-looking statement

Summarize why you're excited to contribute and ask a thoughtful question about the team or company to show continued interest.

Key Points to Mention

  • Specific aspects of Sig's mission, product, or recent news that resonate with you
  • Your experience working in ambiguous or fast-changing environments
  • How your technical skills align with the role's requirements
  • Examples of adaptability and problem-solving in past projects
  • Your desire to contribute to and grow with the company
  • A thoughtful question about the team or company to engage the interviewer

AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.

Q2

A basic probability question during the recruiter screen.

Algorithms & Data Structures
Author's notes

They kept it simple, nothing that needed pen and paper.

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AI HintsAI Generated

Suggested Approach

Clarify the exact probability problem and any assumptions (e.g., fair coins, independence) before calculating. Then walk through the sample space or use a known formula, explaining each step clearly and checking the result for plausibility.

Pro tip: Recruiters often care more about your structured thinking than the final number, so verbalize your reasoning and state assumptions explicitly. If you're unsure, start with a simple case or smaller numbers to build intuition before generalizing.

1. Clarify the problem

Ask questions to confirm the scenario, assumptions, and what exactly is being asked (e.g., 'What is the probability of at least one head in three flips?').

2. Define the sample space

Identify all possible outcomes and ensure they are equally likely, or determine the appropriate probability model (e.g., binomial, conditional).

3. Choose a method

Select a solution approach: counting favorable outcomes, using complementary probability, or applying a known formula like P(A) = 1 - P(not A).

4. Compute and explain

Perform the calculation step by step, narrating your reasoning so the interviewer can follow your logic and catch any errors.

5. Verify and sanity-check

Check that the probability is between 0 and 1, consider edge cases, and see if the answer makes intuitive sense.

Key Points to Mention

  • Clearly state assumptions (e.g., independence, fairness) before calculating.
  • Use complementary counting when it simplifies the problem (e.g., 'at least one' events).
  • Explain the sample space and why outcomes are equally likely.
  • Break down the calculation into small, logical steps.
  • Sanity-check the result against simple cases or bounds.
  • Communicate your thought process aloud to demonstrate structured problem-solving.

AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.