Lead Quantitative Analyst

Placements24; Southampton; Remote; GBP 120,000 - 180,000; Full time

Benefits offered by this job

Stock options

Health insurance

Remote work

Job summary

Placements24 seeks a Lead Quantitative Analyst to drive the design, development, and deployment of advanced quantitative models for trading, risk, and pricing in a fully remote setting. You will lead a team of analysts, mentor junior members, and collaborate with traders and portfolio managers to generate alpha.

The role requires a PhD or Master’s in a quantitative field, 7+ years in quantitative finance, and strong programming skills (Python, C++, or R) with libraries.

Qualifications

• PhD or Master’s in Mathematics, Statistics, Physics, CS or Financial Engineering.
• 7+ years in quantitative finance with proven trading or risk-models experience.
• Proficient in Python, C++, or R and related libraries.
• Strong knowledge of derivatives pricing, portfolio optimization, and risk management.
• Excellent analytical and leadership abilities.

Responsibilities

• Lead design, development and implementation of complex quantitative models for financial markets.
• Mentor and manage a team of quantitative analysts.
• Collaborate with traders, portfolio managers, and risk managers to translate needs into models.
• Conduct backtesting and performance analysis of trading strategies.
• Research and apply advanced ML, econometrics and statistical methods.
• Ensure robustness and efficiency of deployed quantitative systems.

Skills

Python

C++

R

Machine learning

Education

PhD in quantitative field

Master's degree in quantitative field

Tools

NumPy

SciPy

Pandas

Job description

About the Role

Our client is seeking an experienced and innovative Lead Quantitative Analyst to spearhead their quantitative research and development efforts, operating entirely remotely. This senior role involves designing, developing, and implementing sophisticated mathematical models and algorithms for trading strategies, risk management, and pricing derivatives. You will lead a team of quantitative analysts, mentor junior members, and collaborate with traders and portfolio managers to drive alpha generation and optimize risk-adjusted returns. This is a fully remote position for a visionary leader in the quantitative finance space, contributing significantly to the firm's competitive edge.

Key Responsibilities

• Lead the design, development, and implementation of complex quantitative models and algorithms for financial markets.
• Mentor and manage a team of quantitative analysts, providing technical guidance and career development support.
• Collaborate closely with traders, portfolio managers, and risk managers to translate business needs into quantitative solutions.
• Conduct rigorous backtesting and performance analysis of trading strategies and models.
• Research and implement cutting-edge methodologies in areas such as machine learning, statistical modeling, and econometrics.
• Ensure the robustness, accuracy, and efficiency of all deployed quantitative systems.

Requirements

• Ph.D. or Master's degree in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, or Financial Engineering.
• Minimum of 7 years of experience in quantitative finance, with a proven track record in developing and implementing trading or risk models.
• Expertise in programming languages such as Python, C++, or R, and experience with relevant libraries.
• Strong understanding of financial markets, derivatives pricing, portfolio optimization, and risk management.
• Excellent analytical, problem-solving, and research skills.
• Proven leadership experience and the ability to manage and inspire a team.

Benefits

• Exceptional, top-tier compensation package including a substantial base salary and performance-driven bonuses.
• Fully remote work environment with complete flexibility in working hours and location.
• Comprehensive health, dental, and vision insurance.
• Generous allocation of stock options or profit-sharing opportunities.
• Access to cutting-edge technology and resources for research and development.