Principal Quant

• Devise and own a highly consistent, coherent, and principled quantitative direction across trading, margining, liquidation, lending, and risk-related products.

• Ensure that individual models, parameters, and mechanisms fit together into a harmonious system, rather than a collection of locally-correct but globally-fragile designs.

• Own the end-to-end correctness, feasibility, and desirability of quantitative products in production.

• Take ownership over preventing tricky edge cases, stress scenarios, and failure modes from hitting production.

• Act as the first line of defense for user, partner, and internal feedback related to quantitative behavior:

  • answering questions about correctness and intent

  • diagnosing whether feedback reflects misunderstanding, edge cases, or real design flaws

  • driving fixes or adjustments when models do not behave as intended

• Treat post-launch behavior as a continuation of product design, continuously refining models based on observed outcomes and feedback. Biasing strongly towards system consistency during revisions, and avoiding repeated fragile patches.

• Act as the product owner for quantitative surfaces that are inherently difficult for others to reason about.

• Write exceptionally clear, precise specifications that engineers can implement correctly and safely.

• Translate complex quantitative concepts into explanations appropriate for each audience:

  • simplified mental models for users and partners

  • implementation-level clarity for engineers

  • risk and trade-off framing for leadership

• Own alignment-driving end-to-end:

  • proactively surface concerns, disagreements, and edge cases

  • address feedback thoughtfully rather than deferring or waiting for others

  • drive conversations to clear decisions and committed direction

• Take direct responsibility for validating implementations of quantitative products:

  • design and execute deep testing in non-production and production environments

  • reason about edge cases, stress scenarios, and failure modes that others are unlikely to catch

  • use QA support where helpful, but remain personally accountable for correctness

• Own the outcome when quantitative products are mis-implemented, even if gaps were not caught by QA, recognizing that the domain complexity requires quant-level validation.

• Take first-class oncall responsibility for quantitative systems and risk-sensitive product behavior in production.

• Act as a key responder during incidents involving:

  • abnormal trading behavior

  • liquidation anomalies

  • margin, risk, or insurance fund issues

  • extreme market conditions or tail events

• Be accountable for real-time decision-making during high-stakes situations, including:

  • diagnosing root causes under pressure

  • advising on mitigations, parameter changes, or temporary safeguards

  • balancing user impact, platform safety, and long-term risk

• Lead or co-lead post-incident analysis for quantitative failures, ensuring:

  • root causes are correctly understood (model vs implementation vs assumption)

  • durable fixes are made to models, parameters, or system design

  • learnings are fed back into product design and operational playbooks

• Proactively identify latent systemic risks and work with engineering and risk teams to reduce them before they manifest as incidents.

• Design quantitative products with operability in mind, including:

  • observability of key metrics and invariants

  • explainability of system behavior during abnormal events

  • safe failure modes and bounded blast radius

We’re looking for exceptional senior ICs who combine strong product leadership with deep quantitative skill.

You should demonstrate:

• Prior experience building or operating trading venues, exchanges, or market infrastructure.

• A strong background as a quant, trader, or financial modeler, with hands-on experience designing or validating trading or risk models.

• Proven strength as a Product Manager, including:

  • owning outcomes end-to-end

  • driving cross-functional alignment

  • writing high-quality, precise specifications

• Deep understanding of margining, liquidation, leverage, and systemic risk mechanics.

• Strong operational mindset and comfort owning systems in production.

• Excellent communication skills, especially when explaining complex quantitative reasoning clearly.

• Sound judgment under ambiguity and high-stakes decision-making.