Senior Quantitative Analyst

DW Search Ltd.; Greater London; Hybrid; GBP 104,000 - 127,000; Full time

Benefits offered by this job

Hybrid working

Competitive bonus

Job summary

DW Search Ltd. in London is seeking a Quantitative Analyst to join a small, highly technical team responsible for quantitative model validation globally across the firm. The role offers hybrid working and a base salary up to £115,000 with a strong bonus and benefits.

You will independently assess models, challenge underlying mathematics, and potentially contribute to development, enhancement and automation of quantitative risk models across investment teams and risk professionals.

Qualifications

• Strong mathematical and statistical foundations.
• Hands-on experience developing, analysing or implementing quantitative models.
• Strong programming skills, ideally Python.
• Broad intellectual curiosity and an interest in tackling very different quantitative problems.
• Communication skills to challenge model owners and investment professionals credibly.
• Strong quantitative academic background and/or substantial commercial quantitative experience.

Responsibilities

• Independently assess and challenge quantitative models used across the organisation.
• Rebuild a model independently and conduct quantitative analysis.
• Propose improvements and alternative approaches.
• Develop, enhance and implement quantitative risk models.
• Build analytical tooling and automation for the team.
• Explain complex quantitative conclusions to senior stakeholders.

Skills

Mathematical foundations

Statistical foundations

Quantitative modeling

Python programming

Communication skills

Tools

Python

Job description

Quantitative Analyst – Quantitative Risk

London | Hybrid

Up to £115,000 base + strong bonus + benefits

We are working with a leading global asset manager looking to hire a Quantitative Analyst into a small, highly technical team responsible for quantitative model validation globally across the firm.

This is not a traditional model validation role centred around governance, documentation or prescribed testing. The team operates as an independent quantitative function within Risk, working closely with investment teams and providing challenge across a remarkably broad range of models.

The remit spans investment and portfolio models, risk models, pricing models, ESG and increasingly AI and machine learning, giving you exposure to quantitative problems across the investment business rather than specialising in a single model type.

The role

You will independently assess and challenge quantitative models used across the organisation. A typical piece of work can involve getting into the underlying mathematics and assumptions, rebuilding a model independently, conducting your own quantitative analysis and using the results to challenge the existing methodology.

You will have significant autonomy over how you approach each problem and will be expected not only to identify weaknesses, but also to propose improvements and alternative approaches.

Alongside model validation, there is scope to contribute directly to the development, enhancement and implementation of quantitative risk models, as well as building analytical tooling and automation for the team.

The role is highly stakeholder-facing. You will work directly with model owners, quantitative teams and investment professionals, so you need to be able to explain complex quantitative conclusions clearly and confidently challenge senior stakeholders when required.

What they're looking for

The team is deliberately looking for strong, intellectually curious generalist quants rather than career model-validation specialists.

Previous model validation experience is not required. Relevant backgrounds could include quantitative research, front-office quant, investment risk, systematic investing, quantitative development or other mathematically rigorous roles.

You’ll ideally bring:

• Strong mathematical and statistical foundations, with the ability to understand and challenge models at a fundamental level.
• Hands‑on experience developing, analysing or implementing quantitative models.
• Strong programming skills, ideally Python.
• Broad intellectual curiosity and an interest in tackling very different quantitative problems.
• The communication skills to challenge model owners and investment professionals credibly.
• A strong quantitative academic background and/or substantial commercial quantitative experience.

Why consider it?

The biggest differentiator is breadth. Rather than spending your career focused on one model family or asset class, you'll encounter quantitative problems from across a global asset manager.

You'll remain close to the investment business while gaining exposure to areas ranging from portfolio construction and investment risk through to pricing and emerging AI/ML model risk.

It's also an interesting move for front-office or investment quants who enjoy the technical and intellectual side of their work but want greater variety and a more sustainable working environment (hybrid working, 9-5), without moving away from genuinely challenging quantitative problems. The team is deliberately small, giving individuals significant ownership, visibility and autonomy.