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3 days ago
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Citi·BFSI·3 days ago
3 days ago

Front Office Equity Derivatives Quant (C++ Pricing Models), VP

London United Kingdom, United KingdomSenior · 12-18 yearsReceptionist

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Must-have skills for this role

  • c++
  • monte carlo simulation
  • derivatives pricing
  • equity derivatives

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Apply faster with autofill FREEThe NextRaise extension autofills your application in one click.careers.example.com/applyAutofillingFull namePriya SharmaEmailpriya.sharma@example.comPhone+49 30 1234567LocationBerlGet the extension

What you'll do

  • Design, build, and enhance a production-grade pricing library for equity derivative products, ensuring robust model integration and engineering excellence.
  • Implement and maintain derivative pricing models — including stochastic and local volatility, stochastic correlation, and jump processes — using numerical methods such as Monte Carlo simulation and PDE solvers.
  • Develop analytics libraries that support real-time pricing and risk management across Citi's equity derivatives business.
  • Optimise core C++ codebases for performance and stability, maintaining engineering standards across large-scale library development.
  • Build and support payoff scripting frameworks that enable flexible and accurate trade representation across a range of equity derivative structures.
  • Establish and uphold best practices for model testing, validation, and governance, working alongside model risk and control functions.
  • Collaborate directly with traders, structurers, and technology teams to translate business needs into quantitative solutions.

What they're looking for

  • Demonstrable experience in a quantitative modelling or analytics role within the financial services industry.
  • Expert-level C++ development skills, including hands-on contribution to the design and build of large-scale, production-quality libraries.
  • Expert-level knowledge of derivatives pricing and products, with particular depth in equity derivatives.
  • Deep expertise in numerical methods for financial modelling, specifically Monte Carlo simulation and partial differential equation solvers.
  • Advanced degree in Quantitative Finance, Mathematics, Physics, or a closely related quantitative discipline.
  • Clear and concise communication skills, with the ability to engage effectively across quantitative, trading, and technology teams.

Nice to have

  • Experience with scripting languages used in a quantitative or analytics context within financial markets.
  • Practical experience designing or implementing payoff scripting frameworks for derivative trade representation.
  • Familiarity with equity exotic products and the modelling challenges specific to structured equity derivatives.

Summarised by NextRaise from the employer’s description, which follows in full below.

Full description from employer

Citi is looking for a Quantitative Analyst to join its Equity Quantitative Derivative team within Markets Quantitative Analysis — a front-office group responsible for the research, development, and maintenance of pricing and risk models that underpin Citi's global Equity Derivatives franchise. In this role, you will combine advanced derivatives modelling with large-scale C++ development, building production-grade analytics libraries used directly by traders and structurers. This is a high-impact position where your quantitative expertise shapes the performance and reliability of Citi's equity derivatives platform.

Responsibilities

  • Design, build, and enhance a production-grade pricing library for equity derivative products, ensuring robust model integration and engineering excellence.
  • Implement and maintain derivative pricing models — including stochastic and local volatility, stochastic correlation, and jump processes — using numerical methods such as Monte Carlo simulation and PDE solvers.
  • Develop analytics libraries that support real-time pricing and risk management across Citi's equity derivatives business.
  • Optimise core C++ codebases for performance and stability, maintaining engineering standards across large-scale library development.
  • Build and support payoff scripting frameworks that enable flexible and accurate trade representation across a range of equity derivative structures.
  • Establish and uphold best practices for model testing, validation, and governance, working alongside model risk and control functions.
  • Collaborate directly with traders, structurers, and technology teams to translate business needs into quantitative solutions.

Required Qualifications & Skills

  • Demonstrable experience in a quantitative modelling or analytics role within the financial services industry.
  • Expert-level C++ development skills, including hands-on contribution to the design and build of large-scale, production-quality libraries.
  • Expert-level knowledge of derivatives pricing and products, with particular depth in equity derivatives.
  • Deep expertise in numerical methods for financial modelling, specifically Monte Carlo simulation and partial differential equation solvers.
  • Advanced degree in Quantitative Finance, Mathematics, Physics, or a closely related quantitative discipline.
  • Clear and concise communication skills, with the ability to engage effectively across quantitative, trading, and technology teams.

Beneficial Skills & Qualifications

  • Experience with scripting languages used in a quantitative or analytics context within financial markets.
  • Practical experience designing or implementing payoff scripting frameworks for derivative trade representation.
  • Familiarity with equity exotic products and the modelling challenges specific to structured equity derivatives.

What We Offer

Joining Citi's Equity Quantitative Derivative team means working at the intersection of cutting-edge financial modelling and large-scale software engineering, within a global markets business that operates at the forefront of the industry. You will be embedded in a front-office environment where your work has direct commercial impact, and where collaboration with experienced traders, structurers, and technologists is part of daily life.

  • A front-office quantitative role with direct influence on Citi's global equity derivatives pricing and risk infrastructure.
  • Hybrid working arrangement — 3 days in the office and 2 days working remotely — providing flexibility alongside strong team connection.
  • Access to complex, real-world modelling problems across the full spectrum of equity derivative products and structures.
  • Exposure to a broad network of quantitative, trading, and technology professionals across Citi's global markets business.
  • Continuous professional development through hands-on work with advanced numerical methods, modern C++ practices, and evolving market products.
  • Competitive financial reward and benefits aligned to a senior, high-impact individual contributor role within a global financial institution.

Apply now to bring your quantitative modelling expertise to a team where your work directly drives the performance of Citi's equity derivatives business.

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Job Family Group:

Institutional Trading

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Job Family:

Quantitative Analysis

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Time Type:

Full time

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Most Relevant Skills

Please see the requirements listed above.

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Other Relevant Skills

For complementary skills, please see above and/or contact the recruiter.

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Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.

 

If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.

View Citi’s EEO Policy Statement and the Know Your Rights poster.

BFSI

Company

CitiBFSI
London United Kingdom, United Kingdom

Company facts come from this company's own listings. We only show what the postings themselves carry.

Sourced from Citi's careers site·first seen 17 Sept 2026·last verified 17 Sept 2026·How we source jobs

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