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LevelUP HCS

Senior Developer - Risk Technology

London
Posted about 20 hours ago
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Senior Developer – Risk Technology

The Risk Technology group builds and supports a global risk platform enabling the Risk Management group to oversee all areas of risk across the Firm. The risk platform provides capabilities for measuring, quantifying, analyzing, reporting, and controlling exposures across market and credit.

The Orchestration team is responsible for building and supporting a cloud-based cross-asset risk management platform. The system generates risk reports for tens of thousands of cash and derivative trades which risk managers use to assess exposure to movements in equity prices, interest rates, FX rates, volatility, and other market inputs. The system leverages a combination of external vendor and internally developed analytics libraries to handle curve and vol surface construction and pricing of trades.

We are seeking a hands-on Senior Developer to build and operate a highly scalable, AWS cloud-based risk platform leveraging a Snowflake database containing trade data, reference data, and market data needed to produce the firm’s risk. The majority of development is done in Python. The ideal candidate brings deep knowledge of distributed systems and data structures, and can optimize for performance, reliability, and cost.

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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Primary Responsibilities

  • Design, implement, and support scalable Python-based risk engines leveraging position, reference, and market data stored in Snowflake databases.
  • Optimize the risk generation process to deliver accurate risk results in the least possible time.
  • Optimize distributed computation using strong data structures and algorithms.
  • Reconcile risk results produced by the new Orchestration platform with metrics from legacy internal risk systems to identify and correct trade breaks.
  • Investigate pricing and risk issues reported by risk management.
  • Collaborate with other internal IT teams to ensure a seamless end-to-end process for delivering risk.
  • Participate in an on-call support rota.

Essential Experience / Skills

  • 7+ years of development experience, Python & ideally C# .NET.
  • Experience building and supporting pricing and risk management systems for one or more of the following asset classes (in order of importance): equities, fixed income, credit, FX & commodities.
  • Understanding of cash and derivative products and the risk measures for each (delta, gamma, vega, theta, rho, etc.).
  • Understanding of the market data required to generate risk (yield curves, volatility surfaces, credit curves, correlation matrices, spot FX, etc.).
  • Understanding of VAR, historical PNL vector generation, PNL generation, PNL attribution, custom risk scenarios, etc.
  • CI/CD, unit testing (pytest), and observability tooling.
  • Strong grasp of distributed computing.
  • Bachelor’s degree, preferably in Computer Science, Engineering, Mathematics, or similar technical discipline.

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Nice to Have

  • Snowflake SQL expertise.
  • AWS Cloud experience – including EC2 & S3.
  • Airflow/MWAA or equivalent job scheduler experience.
  • Kubernetes, EKS, Lambda, or serverless experience in AWS.
  • Messaging layer experience (ZMQ, RabbitMQ, Kafka, etc.).

Personal Attributes

  • Team player with strong analytical and problem-solving skills, including the ability to troubleshoot and resolve complex pricing and risk issues.
  • Strong verbal and written communication skills.
  • Self-starter and entrepreneurial in approach.
  • Ability to escalate and follow-up proactively.
  • Good time management skills.
  • Attention to detail.
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Skills

Python
C# .NET
Snowflake
AWS
Distributed Systems
Risk Management
Data Structures
Algorithms
CI/CD
Pytest
Kubernetes
Airflow

Location

London, England, United Kingdom

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