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Morgan McKinley

Market Risk Analytics - Associate

London
Posted about 15 hours ago
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Analyst - Risk Analytics Group

As an Analyst within the Risk Analytics Group at in London, you will immerse yourself in a dynamic environment where your quantitative acumen will be central to developing robust market risk models. Your day-to-day responsibilities will involve collaborating with talented colleagues across multiple departments to enhance existing models, validate new approaches in line with evolving regulations such as FRTB, and implement system improvements that strengthen operational resilience. You will be expected to investigate complex issues as they arise, propose practical solutions grounded in sound analysis, and communicate findings effectively to stakeholders at various levels. By supporting both routine tasks and ad-hoc projects—ranging from technical model enhancements to broader risk function initiatives—you will help ensure that risk management framework remains best-in-class. Success in this role requires not only technical proficiency but also a proactive mindset, strong interpersonal skills, and a genuine enthusiasm for working together towards shared objectives.

Key Responsibilities

  • Assist with the development and ongoing maintenance of sophisticated market risk models that support Value at Risk (VAR), Incremental Risk Charge (IRC), and related capital metrics.
  • Contribute to the design and execution of model validation tests by evaluating both model assumptions and their implementation to ensure accuracy and compliance.
  • Investigate issues identified during model testing or operation, proposing effective solutions and planning changes to address any weaknesses or gaps.
  • Specify requirements for system enhancements and rigorously test changes to ensure improvements are implemented effectively within existing frameworks.
  • Enhance operational controls around risk models by identifying areas for increased robustness and recommending new control measures as needed.
  • Support business units and the market risk department by conducting thorough investigations into specific issues or requests related to risk analytics.
  • Participate in ad-hoc projects that require close collaboration with colleagues in market risk analytics, model validation, IT development, and project management teams.
  • Proactively contribute to wider initiatives within the Risk function by sharing insights, participating in group discussions, and supporting collective goals.
  • Ensure all activities comply with relevant regulatory requirements.
  • Communicate clearly with management regarding progress on model development, validation outcomes, operational improvements, and any emerging risks.

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?

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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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What You Bring

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  • A postgraduate degree (MSc or above) in computer science, mathematics/statistics, finance or a closely related discipline demonstrating advanced quantitative capabilities.
  • Solid understanding of financial markets and products including derivatives; familiarity with pricing principles is essential for effective model development.
  • Experience working within a financial services firm where you have contributed to risk-related roles or similar analytical functions.
  • Excellent command of Excel coupled with hands-on experience using VBA; proficiency in Python or R is highly desirable for data analysis tasks.
  • Outstanding communication skills enabling you to tailor information appropriately for different audiences including technical teams and senior management.
  • Meticulous attention to detail combined with an analytical mindset ensures accuracy when developing or validating complex models.
  • Ability to manage large workloads efficiently by prioritising urgent tasks alongside longer-term projects without compromising quality or deadlines.
  • Demonstrated capacity for effective time management under pressure while balancing multiple responsibilities across concurrent assignments.
  • A collaborative approach that fosters positive relationships within diverse teams; willingness to share knowledge openly supports collective success.
  • Professional attitude marked by reliability, motivation, adaptability, and commitment to upholding organisational values.
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Skills

Quantitative Analysis
Risk Management
Model Validation
Data Analysis
Excel
VBA
Python
R
Financial Instruments
Derivatives
Communication
Collaboration
Attention to Detail
Time Management
Problem Solving
Operational Resilience

Location

London, England, United Kingdom

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