Quantitative Researcher - Monetization

Thurn Partners; London; On-site; GBP 60,000 - 100,000; Full time

Job summary

An established industry player seeks a talented individual to enhance their decision-making processes in a technology-driven environment. This role involves designing innovative monetization strategies, collaborating with engineering teams, and leveraging quantitative skills to improve trading systems. The ideal candidate will possess a strong technical background and a keen understanding of market dynamics, ensuring the firm remains at the forefront of the trading landscape. Join a forward-thinking company that values data-driven insights and fosters a collaborative atmosphere, where your contributions will directly impact high-quality returns.

Qualifications

• Technical degree in statistics, computer science, or mathematics required.
• Experience with global alphas and European markets is advantageous.

Responsibilities

• Design and improve decision logic for the monetization engine.
• Collaborate with teams to enhance trading system infrastructure.
• Integrate monetization considerations into predictive research.

Skills

Quantitative Analysis

Coding

Commercial Acumen

Relationship Building

Education

Degree in Statistics

Degree in Computer Science

Degree in Mathematics

Job description

Job Description

Company: Globally leading market-making proprietary trading firm.

Location: London, United Kingdom.

Brief: The firm is a top-tier, technology-driven market-maker, renowned for leveraging data to deliver high-quality returns.

Responsibilities:

• Designing and continuously improving the decision logic for the monetization engine, utilizing utility function design, rules-based logic, and calibration of parameters with historical simulations and post-trade data.
• Collaborating with Engineering and other teams to identify and implement beneficial improvements to trading system infrastructure and monetization design, ensuring unbiased results.
• Integrating monetization considerations into the fit targets/responses used for predictive research, and initiating research on liquidity events/triggers that activate the decision logic.

Requirements:

• Technical degree such as statistics, computer science, or mathematics.
• Knowledge of European markets is an advantage.
• Ability to think quantitatively, code, implement ideas, exhibit commercial acumen, navigate systems, and build relationships.
• Experience working with global alphas and collaborating with individuals across the monetization organization.