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Capital Fund Management

Market Risk Quant

London
Posted 14 days ago
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ABOUT CFM

Founded in 1991, we are a global quantitative and systematic asset management firm applying a scientific approach to finance to develop alternative investment strategies that create value for our clients.

We value innovation, dedication, collaboration, and the ability to make an impact. Together, we create a stimulating environment for talented and passionate experts in research, technology, and business to explore new ideas and challenge existing assumptions.

YOUR ROLE

CFM LLP is looking to reinforce its risk management function with a person that can accompany the strong growth of CFM's funds.

The position is based in London and involves visiting the Paris office on a frequent basis.

KEY RESPONSIBILITIES

The role’s key responsibilities include

  • Support the head of Risk to monitor and understand all material risks in the portfolios.
  • Ensure that these risks are reported accurately internally to the board, regulators and investors.
  • Manage risk limits. Investigate, report and audit breaches.
  • Monitor underlying market conditions (volatility, liquidity).
  • Support management and PMs with risk dashboards and real-time metrics.
  • Coordinate with Risk Technology Specialists to integrate models into production platforms.
  • Explore advanced quantitative risk techniques (e.g. factors, pca, machine learning) for modelling metrics such as VaR, scenarios.
  • Prepare risk reports for portfolio managers and external stakeholders.

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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YOUR SKILLS

  • Masters or PhD (or similar) in a quantitative subject such as Mathematics, Physics, Statistics, Economics, or Finance.
  • Advanced Python (pandas, NumPy, scikit-learn) for modeling and automation. Knowledge of SQL.
  • Knowledge of financial products covering equities, fixed income, FX, commodities, credit, volatility. Strong knowledge of at least one or two asset classes would be preferred.
  • Ability to investigate problems into complex systems and data.
  • Ability to work autonomously and pro-actively.
  • Ability to work collaboratively in teams on complex programs.
  • Ability to communicate clearly to key stakeholders.
  • Ability to work independently in a confident and professional manner.

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Preferable but not essential:

  • Familiarity with equity factor models (e.g., Fama-French, BARRA) and option pricing (volatility surface, smile etc.)
  • Knowledge of systematic trading strategies would be preferable.

EQUAL OPPORTUNITIES STATEMENT

We are continuously striving to be an equal opportunity employer and we prohibit any discrimination based on sex, disability, origin, sexual orientation, gender identity, age, race, or religion. We believe that our diversity, breadth of experience, and multiple points of view are among the leading factors in our success.

CFM is a signatory of the Women Empowerment Principles [https://www.weps.org/about].

FOLLOW US

Follow us on Twitter [https://twitter.com/cfm_am?lang=fr] or LinkedIn [https://www.linkedin.com/company/419383/] or visit our website [https://www.cfm.com/] to find out more about CFM.

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Skills

Python
Pandas
NumPy
Scikit-learn
SQL
Market Risk Management
Quantitative Modeling
VaR
PCA
Machine Learning
Financial Product Knowledge
Equity Factor Models
Option Pricing
Systematic Trading Strategies
Risk Reporting
Data Analysis

Location

London, England, United Kingdom

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