Market risk analytics VP Level (Convertible Bond Focus)

LevelUP HCS; England; On-site; GBP 80,000 - 120,000; Full time

Job summary

A global investment bank in London seeks an experienced Equity Risk Quant to join their analytics team. Responsibilities include leading risk analytics solutions, developing Python libraries, and collaborating with trading desks. Candidates should possess a Master's or PhD in a quantitative field and at least 3 years’ experience in convertible bonds. Strong Python skills and communication abilities are essential. This role presents an opportunity to influence risk analytics in a leading equity derivatives environment.

Qualifications

• Minimum 3 years of hands-on experience as a risk quant focused on convertible bonds.
• Deep product knowledge of equity exotic derivatives and advanced volatility modeling.
• Experience in volatility surface calibration and time series modeling.

Responsibilities

• Lead advanced risk analytics solutions focused on convertible bonds.
• Collaborate with Market Risk and Quantitative Risk Development teams.
• Develop Python-based libraries for risk analysis and scenario generation.

Skills

Python programming

Risk analytics

Problem-solving

Attention to detail

Communication skills

Education

Master's or PhD in Quantitative Finance, Mathematics, Physics, or Computer Science

Tools

Leversys

Kynex

Job description

LevelUp is recruiting on behalf of our client, a major full-service global investment bank and capital markets firm, for an experienced Equity Risk Quant to join the Equity Risk Analytics team at VP level in London. This is a highly specialised role with a strong emphasis on convertible bonds, supporting one of the Street’s leading equity derivatives and convertible franchises.

The successful candidate will play a pivotal role in enhancing risk analytics capabilities, building robust tools, and partnering closely with trading, risk management and quantitative development teams across the equity platform.

Key Responsibilities

• Lead the design and implementation of advanced risk analytics solutions with a primary focus on convertible bonds.
• Collaborate closely with Market Risk, Credit Risk, SIMM, and Quantitative Risk Development teams to ensure consistency and accuracy of risk measures across the equity derivatives platform.
• Partner directly with trading desks and risk managers to deeply understand complex product structures and deliver bespoke risk analytics tools.
• Develop and maintain Python-based libraries and applications supporting real-time and historical risk analysis, scenario generation, and stress testing.
• Drive enhancements to risk methodologies, including proxy modeling, time series construction, and sensitivity analysis for convertible and structured equity products.

Experience, Skills and Qualifications

• Master’s or PhD in Quantitative Finance, Mathematics, Physics, Computer Science, or a related quantitative discipline.
• Minimum of 3 years’ hands‑on experience as a risk quant, with a clear and demonstrable focus on convertible bonds.
• Deep product knowledge of equity exotic derivatives, hybrid instruments, and advanced volatility modeling techniques.
• Strong Python programming skills with proven experience building and maintaining analytical libraries and risk tools.
• Excellent problem‑solving abilities, meticulous attention to detail, and capacity to manage multiple priorities independently.
• Outstanding communication and interpersonal skills with a highly collaborative approach.

Preferred Qualifications

• Familiarity with Leversys and/or Kynex platforms is a significant advantage.
• Experience in volatility surface calibration, proxy methodology development, and time series modeling is highly desirable.
• Prior exposure to regulatory risk frameworks such as SIMM and FRTB is advantageous.

This is an outstanding opportunity for a specialised equity risk quant who thrives in a technical, product-focused environment and wants to make a material impact on risk analytics for a market-leading convertible and equity derivatives business.

Relevant experience gained at a leading investment bank, hedge fund, or quantitative-focused institution is highly valued. We are particularly interested in candidates who combine deep convertible bond expertise with strong Python development skills and a passion for delivering practical, high-quality risk solutions in partnership with the Front Office and broader risk organisation.