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Hunter Bond

Senior Python Engineer - Front Office Risk & Trading Technology : £120k+

London
£120k/yr
Posted 1 day ago
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Senior Python Engineer - Front Office Risk & Trading Technology : £120k+

Our client, a leading financial services and risk technology organisation, is seeking a Senior Python Engineer to join a growing engineering team delivering solutions across trading, risk, and analytics platforms. This role sits at the intersection of technology and the front office, providing the opportunity to work closely with trading, quantitative, and risk teams to build scalable systems that support critical business functions across global markets.

The Opportunity

You'll be involved in the design and development of high-impact applications that enable risk analysis, trade processing, and business decision-making across complex financial products.

Key Responsibilities

  • Building and enhancing Python-based applications that support trading and risk workflows
  • Developing scalable data services and processing solutions for large volumes of market and transactional data
  • Delivering integrations across pricing, risk, and trade management platforms
  • Creating APIs and backend services that support internal applications and analytics tools
  • Working alongside business stakeholders to convert complex requirements into robust technical solutions
  • Driving best practices around software engineering, testing, and code quality
  • Contributing to architectural decisions and platform improvements as systems continue to scale

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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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.

P

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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Strong

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No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.

What We're Looking For

  • Strong commercial experience developing enterprise applications using Python
  • Experience working within investment banking, capital markets, or financial trading environments
  • Solid understanding of data-intensive application development and performance optimisation
  • Advanced SQL skills with experience querying and manipulating large datasets
  • Experience with data analysis and processing frameworks such as Pandas and NumPy
  • Exposure to modern API development using technologies such as FastAPI, Flask, or similar frameworks
  • Strong Linux/Unix knowledge and experience working within production environments
  • Financial Markets Experience

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We're particularly interested in candidates who have worked on platforms supporting:

  • Market risk, PnL, exposure management, or trade lifecycle processes
  • Reconciliation, reporting, or risk analytics functions
  • Fixed income, rates, credit, derivatives, or other capital markets products

Experience working with enterprise front-office platforms, quantitative libraries, or strategic risk systems within large financial institutions would be highly advantageous.

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Skills

Python
SQL
Data Analysis
Data Processing
Pandas
NumPy
API Development
FastAPI
Flask
Linux
Unix
Trading
Risk Management
Financial Markets
Enterprise Applications
Performance Optimization

Location

London, England, United Kingdom

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