Global Banking & Markets - Quantitative Researcher - Associate / VP -London London United Kin ...

Goldman Sachs Bank AG; Richmond; On-site; GBP 60,000 - 80,000; Full time

Job summary

A leading global investment bank in London is seeking a Quantitative Researcher at Associate/VP level to lead the Quantitative Trading & Market Making desk. This role involves developing innovative trading strategies, utilizing advanced statistical and AI techniques to inform trading decisions, and creating frameworks for risk management. Candidates should have a strong academic background in quantitative disciplines and be proficient in programming languages like C++, Java, or Python. Excellent communication skills and the ability to manage multiple priorities are essential. The firm is committed to diversity and inclusion, offering comprehensive benefits and professional growth opportunities.

Benefits

Professional growth opportunities

Comprehensive benefits

Wellness programs

Qualifications

• Strong academic background in a quantitative discipline.
• Proficiency in programming languages such as C++, Java, or Python.
• Excellent communication skills and self-motivated with strong management ability.

Responsibilities

• Lead the Quantitative Trading & Market Making desk.
• Apply advanced statistical and AI techniques in trading models.
• Develop frameworks for risk management and portfolio optimization.

Skills

Statistical analysis

Model development

AI techniques

Communication skills

Programming (C++, Java, Python)

Education

Degree in physics, mathematics, statistics, engineering, or computer science

Job description

Global Banking & Markets - Quantitative Researcher - Associate / VP - London

At Goldman Sachs, quantitative strategists are at the forefront of our business, solving real-world problems through analytical methods. Working closely with traders and sales, they provide invaluable quantitative insights into complex financial and technical challenges that drive our business decisions.

Our team focuses on transforming the Equity business through quantitative trading and automation of key decisions. We handle various products such as stocks, options, ETFs, and futures, employing strategies like market making, automatic quoting, risk management, systematic trading, and algorithmic execution across global venues. We utilize statistical analysis and mathematical models to enhance business performance and collaborate with traders and sales to add value for clients and the firm.

Role Responsibilities

• Lead our Quantitative Trading & Market Making desk, developing strategies for equities, derivatives, and cash products.
• Apply advanced statistical and AI techniques, including neural networks, to build models that inform systematic trading and risk decisions in real time.
• Develop frameworks for risk management and portfolio optimization across asset classes using factor models and other techniques.
• Create scalable model calibration frameworks for large-scale time series data using statistical and AI models.
• Advance our market-making strategies through technological development, collaborating with Quant Developers and engineering teams.

Basic Qualifications

• Strong academic background in physics, mathematics, statistics, engineering, or computer science.
• Proficiency in programming languages such as C++, Java, or Python.
• Self-motivated with excellent management skills, capable of handling multiple priorities under pressure.
• Excellent communication skills, both written and verbal.

Goldman Sachs is committed to diversity and inclusion, offering professional growth opportunities, comprehensive benefits, wellness programs, and accommodations for candidates with disabilities.