SIMM Quantitative Analyst, VP

Jefferies; London; On-site; GBP 55,000 - 85,000; Full time

Job summary

A global investment firm in London is looking for a Quantitative Analyst to develop and manage market risk analytics for SIMM. The role involves implementing risk sensitivities, supporting the model development lifecycle, and conducting quantitative research. Candidates should have strong analytical skills, proficiency in Python, and an understanding of financial derivatives. Excellent communication and database skills are also required.

Qualifications

• Deep understanding of pricing and risk calculations for Fixed Income derivatives.
• Strong analytical skills required to understand quantitative models.
• Familiarity with financial markets and associated market data.

Responsibilities

• Develop and implement SIMM sensitivities for Fixed Income/Equity derivatives.
• Manage and improve SIMM risk sensitivities framework.
• Perform quantitative research to implement model changes.

Skills

Analytical skills

Programming in Python

Understanding of financial markets

Communication skills

Database expertise

Tools

Murex

Acadiasoft

Bloomberg MARS

Job description

Job Description

Quantitative analyst for developing and managing market risk analytics for SIMM. Candidate will join the Risk Analytics group that partakes in SIMM model development over the full life-cycle of model development: from methodology to design to local implementation and validation. The successful candidate will also provide analysis and feedback on changes to or introduction of new models at the firm.

Key Responsibilities & Tasks

• Develop and implement SIMM sensitivities for Fixed Income/Equity vanilla and exotic derivative products.
• Manage, maintain and improve SIMM risk sensitivities framework.
• Support the full life-cycle of model development from development, documentation, to validation
• Perform quantitative research to implement model changes, enhancements and remediation plans in 3rdparty analytic systems.
• Work with stakeholders across business and functional teams during model development process.
• Assess the methodologies and processes used by modeling teams to develop and manage their models, and identify potential weaknesses and the associated materiality of the risk

Qualifications/ Experience

• Deep understanding of pricing and risk calculations for Fixed Income derivatives.
• Strong analytical skills required to understand quantitative models, and to translate that understanding into sustainable library design, code development and integration into IT’s systems.
• Applicant needs to be familiar with financial markets and the associated market data
• Applicant needs to be comfortable with derivatives transactions terms and conditions data residing in multiple book and record systems
• Strong writing capabilities.
• Proficient programming skills in python (other languages such as R is a plus).
• Database expertise.
• Superior oral and written communication skills.
• Experience with Murex, Acadiasoft, and Bloomberg MARS a plus