Hybrid -> 3 days per week from the office

Your Role

Are you a software engineer who is up for a challenge? Because we’ve got a great one.

We’re building a new analytics and risk platform. It’s called ACQA. It’s a cloud native platform with a host of business specific applications and services built on top of it. At its heart its Python, but we also use other languages, including Java and Scala.

We’re not looking for somebody who fits in a box. Our team is diverse, and our hiring reflects that. You might be a Python expert with an unparalleled depth of knowledge about financial derivatives risk and pricing. Or you might be a big data guru who writes beautiful Scala (or PySpark) on massive and complex datasets. Or you may be somewhere in-between. Either way you are the kind of person we want to speak to.

So, if you are an awesome Python developer, if you know about derivative risk; if you’re a Java or Scala developer who’d like an opportunity to learn some Python then we would love to hear from you.

Your team

You’ll be working in the ACQA Engines Crew, as part of the IB Risk Technology Stream under CDIO. ACQA is “Advanced Cloud Quantitative Analytics” – it’s our strategic cloud based Analytics and Risk platform. The team is composed of approximately 60 top level engineers in multiple global locations, organized into agile local autonomous pods of 5-10 members. We work directly with traders, risk managers and finance users to provide platforms and tools that for management of the investment bank's Risk and PnL.

Your expertise

You have:

A deep software engineering background and mindset. You’ve seen several different programming paradigms and languages. You understand design patterns – and know when not to use them. You know what it means to develop bullet proof software in a fast-paced environment where bugs cost money.

Strong communication skills, written and spoken, you can communicate complex subjects concisely.

You’ll have a few of:

Deep experience developing in Python. You’ve used it at scale, you have a deep knowledge of the language and many of its commonly used packages. You believe in testing your code to destruction, using several different testing frameworks. You’re a Pythonista who loves the language and embraces its culture.

Experience in one of the JVM languages. You’ve used it at scale and have excellent knowledge of the language and its associated ecosystem.

Strong knowledge of Spark or other data focused work on massive, complex datasets. You’ve built, tested and tuned spark jobs that operate on giant data sets.

A great working knowledge of financial interest rates derivative products, their risks, and how the front to back process works.

Some exposure to AI-assisted software development using tools such as GitHub Copilot to improve delivery speed while maintaining quality, review discipline and ownership. Spec-driven development, data-driven development.

Some exposure to cloud-based systems (ideally Microsoft Azure) and a desire to learn more.

Some exposure to web-based UI frameworks would be useful, though not essential

A desire to learn Python

You are:

A passionate engineer. Dedicated to building software that end users love. You enjoy working in a fast-paced agile environment.

A dev-ops evangelist. Committed to helping to improve the developer experience for everybody working on the ACQA platform and interacting with your code.

A teacher. You enjoy helping those around you develop their skills, while you develop your own.

Collaborative by nature. You enjoy working in a highly skilled team where the best ideas win. Even if they are not yours. You are equally happy developing something new or building on the work of others.

Mandatory Skills Description:

- Strong hands-on experience with Python, PySpark, and Apache Spark.
- Experience with Microsoft Azure, cloud-native platforms, and Big Data technologies.
- Experience with Scala or experience in investment banking technology , particularly with financial derivatives, derivative risk, pricing, Risk & PnL, and quantitative analytics.
- Strong understanding of software engineering best practices, including testing frameworks, design patterns, and production-grade software development.
- Experience designing and developing scalable, reliable, production-ready systems.
- Hands-on experience with DevOps practices, CI/CD pipelines, and Agile software development.
- Strong focus on Developer Experience (DevEx) and modern software engineering practices.
- Practical experience with GitHub Copilot and AI-assisted software development tools.

Regular Software Engineer - Python

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