Company
Quant Front Office
QuantTrader
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Quant Trader. Skills: Autonomous Valuation, Inventory Skewing, Defensive Design, Risk Automation, Technical Translation, Risk Guardrails, Real-Time Leadership, Quantitative Fluency, Pipeline Design, Applied Data Science, Systems Integrity. Engineer the logic synthesizing global data into fair-value anchors and dynamic spreads. Build self-correcting models that adjust quotes based on exposure to incentivize book-balancing”
Industry & Context.
Autonomous Valuation; Inventory Skewing; Defensive Design; Risk Automation; Technical Translation; Risk Guardrails; Real-Time Leadership; Quantitative Fluency; Pipeline Design; Applied Data Science; Systems Integrity
What They're Looking For.
Must Have
Quantitative Fluency, Pipeline Design, Applied Data Science, Systems Integrity
What You'll Do.
Engineer the logic synthesizing global data into fair-value anchors and dynamic spreads
Build self-correcting models that adjust quotes based on exposure to incentivize book-balancing
Implement high-velocity protocols to mitigate adverse selection and information asymmetry in milliseconds
Define the logic for warehousing risk internally versus hedging externally
Convert mathematical strategies into scalable requirements for engineering teams
Partner with the desk to define the engine’s operational boundaries and automated thresholds
Act as the technical anchor during high-leverage events
providing calibration and intervention when the system is under peak pressure
How You'll Work.
Team & Collaboration
Partner with the desk to define the engine’s operational boundaries and automated thresholds; Convert mathematical strategies into scalable requirements for engineering teams
Full Job Description
## Responsibilities Autonomous Valuation: Engineer the logic synthesizing global data into fair-value anchors and dynamic spreads. Inventory Skewing: Build self-correcting models that adjust quotes based on exposure to incentivize book-balancing. Defensive Design: Implement high-velocity protocols to mitigate adverse selection and information asymmetry in milliseconds. Risk Automation: Define the logic for warehousing risk internally versus hedging externally. Technical Translation: Convert mathematical strategies into scalable requirements for engineering teams. Risk Guardrails: Partner with the desk to define the engine’s operational boundaries and automated thresholds. Real-Time Leadership: Act as the technical anchor during high-leverage events, providing calibration and intervention when the system is under peak pressure. ## Requirements Quantitative Fluency: Deep understanding of probability and binary contracts; treating every event as a shifting probability curve. Pipeline Design: Experience building production-ready trading systems, from data ingestion to automated execution. Applied Data Science: Successful track record of deploying predictive models that learn from microstructure and price velocity. Systems Integrity: Expertise in building error-tolerant interfaces that remain stable under extreme throughput.
Applying for this Quant Trader role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
How to Apply on Lever
- Lever uses a streamlined one-page form — apply in under 5 minutes.
- LinkedIn import works well; review parsed data before submitting.
- The cover letter field is optional but visible to reviewers — use it to differentiate.
- Referral codes from employees can significantly boost visibility of your application.
ANONYMOUS · UNFILTERED
What do employees actually say about this company?
Real rants from real employees. Read before you apply.