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Morgan McKinley

Liquidity Model Risk Manager, VP

London
Posted about 14 hours ago
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Market leading FX Settlements firm seeks a VP in the Liquidity and Market Risk Management (LMR) team to be based in London

They would like to source candidates from consultancies/Big 4, on the advisory side (not accounting) that have done work related to 2 areas:

  • Advisory work for FS clients related to Model valuation: model related exercises, assessments of new models
  • Advisory work for FS or non FS clients related to independent pricing evaluation work (ie; independent pricing of trading books, price evaluations of exotic models etc).

As a Vice President in the Liquidity and Market Risk Management (LMR) team, you will play a pivotal role in managing liquidity and market risk strategies for our organization. You will assist in the assessment and analysis of risk impact and benefits in offering new strategic initiatives and on-boarding new members and currencies. In addition, you will engage in day-to-day risk monitoring activities and contribute to the continuous improvement of our risk management processes, including but not limited to performing liquidity risk analysis for market events affecting services, conducting stress testing for enhanced risk monitoring, preparing management risk reporting, and executing model risk management responsibilities as a model owner.

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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Strong

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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Responsibilities

  • Perform liquidity analysis to assess the risk and benefits as part of participation expansion and offering new strategic initiatives.
  • Perform daily and quarterly stress testing to assess the impact of potential member pay-in failures for heightened settlement monitoring as part of Regulatory requirement.
  • Perform risk impact analysis in response to market and geopolitical events that may affect service.
  • Enhance existing LMR processes by automating or enhancing them to minimize operational errors and make day-to-day work efficient.
  • Conduct on-going model monitoring and enhance model documents for LMR’s owned model in accordance with the Model Risk Policy requirements.
  • Code and implement benchmarking models for LMR’s owned model as part of MRM’s on-going monitoring requirement.
  • Prepare detailed risk reports for internal stakeholders and regulators to support management reporting and RCSA processes.

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Experience – essential / desired for successful job performance

  • At least five years of work experience in banking, consulting, or other financial institutions.
  • Degree in computer science, finance, economics or quantitative discipline, MS/MBA preferred.
  • Strong quantitative skills and experience in financial analytics and risk methodologies.
  • Strong discipline of vetting own work and attention to detail to deliver high quality work products.
  • Possess excellent critical thinking capabilities and problem-solving skills.
  • Strong communication and interpersonal skills.
  • Ability to work collaboratively with cross-functional teams.
  • Advanced SQL, R, Python, and Excel VBA skills.
  • Proficient in interpreting, data cleaning, manipulating, and performing analysis with large amounts of data.
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Skills

Liquidity Risk Management
Market Risk Management
Model Risk Management
Stress Testing
Financial Analytics
SQL
R
Python
Excel VBA
Data Cleaning
Quantitative Analysis
Model Valuation
Independent Pricing Evaluation
Risk Reporting
RCSA
Benchmarking Models

Location

London, England, United Kingdom

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