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Quantifi

Risk Engineer

London
Posted about 14 hours ago
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Quantifi Solutions: Quantitative Developer Opportunity

Quantifi Solutions, a leading supplier of quantitative and risk technology to the financial services sector, is seeking quantitative developers to join its growing engineering organization. We’re founder owned and profitable, and pride our selves on our collegial, bureaucracy- and politics-free organization.

We’ve recently hired a new CTO with a mandate to modernize our offerings through cloud native replatforming and rebuilding, and to expand the engineering organization across our three worldwide engineering hubs (London, New York City, and Sydney).

In this role you work with and on our award winning quantitative library and risk platform, developing new features and enhancing existing functionality. While we started with an on-premise business model, we now have a mixture of on-premise and hosted clients, and are at the start of moving to a cloud native SaaS model. This is a firm wide priority and at various points you may be working on our current, mature code base, or building new cloud native services from scratch.

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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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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Successful candidates will have experience working with a quant library, and understand the basics of derivatives pricing and risk such that they can incorporate those libraries into a larger system. We don’t expect you to have mastered the mathematics behind the models or the details of edge cases in product treatment; we have a fantastic team of quantitative researchers for that.

If you’ve done cloud native development, or want to start doing it, this is a terrific time to join the team!

Responsibilities:

  • Design and architect new components and services
  • Design, implement, test and debug new and existing features for our toolkit and RMS products
  • Maintain robust performance and regression test suites, and assist quantitative researchers with implementing features and enhancing performance
  • Work with our professional services organization to assist in client engagement and adoption
  • Work with peers in all three of our engineering hubs (London, New York City, and Sydney)

Required Qualifications and Skills:

  • Professional experience programming in a strongly typed programming language such as C#, Java, C++, Go, or Rust
  • Working knowledge of producing quantitative applications targeting at least one major asset class (e.g. Credit, Rates, FX, Equities, Commodities, etc.)
  • Degree in a STEM discipline or equivalent experience gained another way
  • Fluency in spoken and written English

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Nice to have:

  • Professional experience programming in Python
  • Knowledge of at least one Cloud Service Provider and familiarity with cloud native development technologies, architectures, and methodologies

What we offer:

  • You will be working with a talented team of engineers on challenging problems in an entrepreneurial, supportive and collaborative environment
  • You will be in a firm that values employee development and will be provided with ample guidance, training and support
  • You will have the opportunity to learn from senior staff as well as our clients that include some of the most sophisticated financial firms
  • You will be in the vanguard of a complete technology transformation throughout our product and client bases
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Skills

C#
Java
C++
Go
Rust
Python
Cloud Native Development
Derivatives Pricing
Risk Management
Quantitative Analysis
Software Architecture
Regression Testing
Financial Engineering
SaaS
STEM Degree

Location

London, England, United Kingdom

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