Summary
✨ AI‑Generated
A software engineering role focused on cloud-native analytics and data platforms. Candidates with Python expertise or experience in related programming and big data technologies can contribute to complex technology solutions.
Highlights
Opportunity to work on cloud-native platforms, analytics systems, and modern technologies in a global engineering environment.
Description
Who are we
DXC Luxoft is a global IT services and consulting company, part of DXC Technology, delivering cutting-edge digital and software solutions worldwide.
We partner with leading financial institutions and global enterprises, helping them transform and scale through modern technology.
Join a global community of engineers and be part of building impactful, modern technology solutions!
Project Description:
Your Role
We’re building ACQA, a cloud-native analytics and risk platform supporting business-specific applications and services.
Python is at its core, complemented by Java, Scala, and modern big data technologies.
We are looking for strong software engineers with different backgrounds.
You might be a Python expert with knowledge of financial derivatives and risk, a Scala or PySpark specialist working with complex datasets, or a Java engineer interested in learning Python.
Your Team
You’ll join the ACQA Engines Crew, part of the IB Risk Technology Stream under CDIO.
ACQA — Advanced Cloud Quantitative Analytics — is a strategic cloud-based Analytics and Risk platform.
Our team includes approximately 60 engineers across multiple global locations, working in agile and autonomous pods.
We collaborate directly with traders, risk managers, and finance users to deliver solutions supporting the investment bank's Risk and P&L.
Responsibilities:
Your Expertise
You have a strong software engineering mindset and experience building robust, production-grade software.
You understand software design principles, testing, and the importance of quality in a fast-paced environment.
Strong written and spoken communication skills are essential.
You’ll have experience in some of the following:
Python development and testing at scale.
Java, Scala, or other JVM technologies.
Spark or PySpark and processing large, complex datasets.
Financial derivatives, risk, pricing, and front-to-back processes.
AI-assisted development tools such as GitHub Copilot.
Cloud-based systems, ideally Microsoft Azure.
Web-based UI frameworks would be an advantage.
A willingness to learn and develop new technical skills, including Python.
You are:
A passionate engineer who enjoys building high-quality software.
DevOps-minded and interested in improving the developer experience.
Collaborative and willing to share knowledge with others.
Comfortable working in a fast-paced, agile environment.
Mandatory Skills Description:
Python, Java, Scala, PySpark, Spark, Microsoft Azure, cloud-native platforms, big data, financial derivatives, derivative risk, pricing, Risk and P&L, investment banking technology, quantitative analytics, testing frameworks, design patterns, DevOps, agile software development, CI/CD, developer experience, GitHub Copilot, AI-assisted software development, production-grade software, scalable systems.
Languages:
English: C1 Advanced
