Quantitative Analyst - Fixed Income & Portfolio Tools

Legal & General; Greater London; On-site; GBP 70,000 - 120,000; Full time

Benefits offered by this job

Annual performance-related bonus

Generous pension contribution

Life assurance

Healthcare plan for permanent employees

At least 25 days holiday

Participation in electric car scheme

Discounts on products and high-street stores

Redesigned workspace for collaboration

Job summary

A leading UK financial services group is seeking a Quantitative Analyst to enhance investment processes and support portfolio management. This role involves creating systems for credit analysis, improving monitoring tools, and collaborating with various teams. Ideal candidates will have strong coding skills, a degree-level qualification, and a solid understanding of financial markets. Competitive benefits include performance-related bonuses and generous pension contributions.

Qualifications

• Solid understanding of fixed income mathematics; familiarity with high‑yield credit advantageous.
• Enthusiastic understanding of financial markets and investment principles.

Responsibilities

• Creating, building and enhancing systems connecting credit analysis to portfolio construction.
• Maintaining and improving tools for monitoring portfolios.
• Developing enhanced solutions to streamline order creation.
• Coordinating with quant teams for quantitative solutions.

Skills

Strong coding skills, particularly in Excel/VBA

Experience with Python

Understanding of fixed income mathematics

Knowledge of statistics and quantitative techniques

Proven problem-solving skills

Collaborative mindset

Strong communication skills

Education

Degree-level qualification

CFA or equivalent financial qualification

Tools

MS Excel

VBA

Job description

A leading UK financial services group is seeking a Quantitative Analyst to enhance investment processes and support portfolio management. This role involves creating systems for credit analysis, improving monitoring tools, and collaborating with various teams. Ideal candidates will have strong coding skills, a degree-level qualification, and a solid understanding of financial markets. Competitive benefits include performance-related bonuses and generous pension contributions.