Strategist - Equity Risk

Benefits

Parental leave

Not verified

Non-birth-parent leave

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Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

Not verified

Relocation assistance

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Childcare support

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Learning budget

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Verification

Not verified checked Jun 7, 2026

Salary

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401(k) match

Reported from DOL Form 5500 industry filing (not employer-specific)

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Market context

U.S. role benchmark (BLS OEWS)

$111,944 U.S. median for this role

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Data From the posting source checked Jun 20, 2026

Seniority

Mid From the posting source checked Jun 20, 2026

Schedule

Shift type

Not verified

Weekend work

Not verified

Company

Equity

Offered From the posting source checked Jun 20, 2026

Application

Cover letter

Not verified

Assessment

Not verified

Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Strategist - Equity Risk London, England, United Kingdom The Role We are seeking a highly qualified and talented Quantitative Strategist to support the Volatility and Emerging-markets + delta-1 trading teams. You will work as part of a centralized Strategist team, working on vanilla and exotic product modelling, parameter marking and risk representation across geographies and markets. What you'll do As a Strategist, you will support portfolio managers trading derivatives in representing, rationalizing and understanding risk at a product and book level- ensuring that risk is accurate and economically consistent with product/payoff definitions. In addition, there will be focus on creating and understanding stressed market scenarios and developing modelling to predict product and book behavior in those environments. This will involve developing and validating parameter models to represent volatility surfaces, dividends and funding. You will support portfolio managers and traders maintaining and extending a centralized library for valuation and risk calculations. You will be leading efforts on: - Vol surface parameterization and modelling - Vol product pricing, risk representation and rationalisation - Vol PnL explanations & attribution - Dividends modelling - Scenario construction and book behaviour What you'll bring What you need: - Strong Python skills - Experience with volatility trading strategies - Strong background and intuition in financial mathematics, adopting a first-principles approach to understanding product behavior - Experience working with quantitative risk teams, traders, and portfolio managers - Excellent communication skills, both written and verbal - Experience with production environments - Strong ownership experience and a track record of

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