Remote Quant Researcher: Live Trading Models & Equity

Poly Syncer; Stockholms kommun; On-site; SEK 1,509,433 - 2,075,471; Full time

Job summary

Poly Syncer in Stockholm is looking for a skilled professional to own and develop their leader-trust scoring model and Kelly-cap calibration. You will work with a Python backtesting harness and collaborate with engineers to ensure models ship within a quarter.

The ideal candidate has a strong statistical modeling background, proficiency in Python or Go, and comfort with publishing research results, including negative findings. The position offers a remote-first working environment with a compensation range of $160k–$220k base plus equity and performance components.

Qualifications

• Background in statistical modeling at a quant fund, market maker, or crypto trading firm.
• Proficient in production-grade Python or Go.
• Ability to question and critique own backtests.
• Comfortable with publishing negative research results.

Responsibilities

• Own and develop the leader-trust scoring model and Kelly-cap calibration.
• Utilize a Python backtesting harness for research implementation.
• Ensure that models are client-facing and deliverable within a quarter.

Skills

Statistical modeling

Production-grade Python

Production-grade Go

Research publication

Job description

Poly Syncer in Stockholm is looking for a skilled professional to own and develop their leader-trust scoring model and Kelly-cap calibration. You will work with a Python backtesting harness and collaborate with engineers to ensure models ship within a quarter.

The ideal candidate has a strong statistical modeling background, proficiency in Python or Go, and comfort with publishing research results, including negative findings. The position offers a remote-first working environment with a compensation range of $160k–$220k base plus equity and performance components.