Quant Analyst

Huxley Banking & Financial Services; Greater London; On-site; GBP 40,000 - 60,000; Full time

Job summary

A financial services firm located in London is seeking a Junior Quantitative Analyst to support their Equities desk. This full-time position offers an exciting chance to work collaboratively with traders, developing Python-based tools for pricing and risk management. Ideal candidates will have a degree in a relevant field and strong programming skills in Python, along with a solid understanding of equities markets. Join a fast-paced environment and contribute to innovative strategies.

Benefits

Professional development and training

Close collaboration with traders

Qualifications

• Strong programming skills in Python (pandas, NumPy, SciPy, etc.).
• Solid understanding of equities markets and financial instruments.
• Knowledge of quantitative methods (statistics, time series, regression).
• Excellent problem-solving and communication skills.

Responsibilities

• Develop and maintain Python-based analytics and models for equities trading.
• Assist in building pricing tools, risk dashboards, and data-driven strategies.
• Collaborate with traders and senior quants to enhance execution and performance.
• Analyze large datasets and implement statistical techniques.

Skills

Python programming

Statistical analysis

Data analysis

Quantitative methods

Problem-solving

Communication

Education

Degree in Mathematics

Degree in Physics

Degree in Computer Science

Degree in Finance

Tools

pandas

NumPy

SciPy

Matplotlib

Plotly

Job description

Junior Quantitative Analyst - Equities (Python Development) Location: London Type: Full-time | Front Office

About the Role

We are seeking a Junior Quant Analyst to join our Equities desk. This is an exciting opportunity to work in a fast-paced Front Office environment, supporting traders and developing quantitative tools for pricing, risk management, and strategy optimization.

Key Responsibilities

• Develop and maintain Python-based analytics and models for equities trading.
• Assist in building pricing tools, risk dashboards, and data-driven strategies.
• Collaborate with traders and senior quants to enhance execution and performance.
• Analyze large datasets, market microstructure, and implement statistical techniques.

Requirements

• Strong programming skills in Python (pandas, NumPy, SciPy, etc.).
• Solid understanding of equities markets and financial instruments.
• Knowledge of quantitative methods (statistics, time series, regression).
• Degree in Mathematics, Physics, Computer Science, or Finance.
• Excellent problem-solving and communication skills.

Nice to Have

• Experience with data visualization (Matplotlib, Plotly).
• Familiarity with machine learning techniques.
• Exposure to Front Office environments or trading desks.

What We Offer

• Opportunity to work closely with traders and senior quants.
• Professional development and training in advanced quantitative finance.

Apply Now to avoid disappointment.