Engineering / London

Senior Software Engineer

We are looking for a talented software engineer with a strong Java background. You will architect, build and scale a wide range of exciting projects using cutting edge technologies.

Mission

We are building the future of data and reporting for financial markets, and we are taking all industry stakeholders with us.

We have secured some high-profile client including top-tier investment banks, law firms and standard-setting bodies.

What you'll do day to day
  • Hands on Java development on a range of different projects and technologies
  • Work on open source software, Rosetta is open source!
  • Build on the Rosetta modelling language (Rosetta DSL), its wider SDK, tools and code generators
  • You will be empowered to make core architectural decisions
  • Exposure to a wide range of technologies
  • Work with highly talented developers, both at REGnosys and with the open source community!
  • Work on cutting edge technologies to create cloud native apps, such as our online Rosetta code editor
  • Be responsible for taking requirements through to delivery, working across the entire stack and presenting to industry working groups
What we're looking for
  • Strong Java 17+ experience
  • Proactivity and a genuine desire for taking ownership
  • An analytical mind with strong problem-solving capabilities
  • Experience and/or comfort with working in a TDD/Agile environment
  • Docker, Kubernetes, microservices
  • Multithreading, Low latency, Concurrency
  • Excellent communication skills
Extra things we'd love to see (non-essential)
  • Financial knowledge
  • Helm, Terraform
  • Frontend technologies: Typescript, Angular
  • Cloud technologies: GCP

Our Technology

Our technology combines cutting-edge cloud-computing and the power of open source software. It enables firms to collaborate to build and share data pipelines across the industry.

Rosetta is a language and SDK to build data models. With Rosetta we can define classic entity-relationships, but its power lies in its rich syntax for validation rules, data bindings and map-reduce abstractions that allows to build an end-to-end data processing pipeline. So that clients can use Rosetta with their language of choice, we can automatically code generate into Java or Python or Scala or GoLang or Javascript or … well you get the idea.
Our cloud-native platform is being used by financial institutions to embed these open-source data models into their own production reporting systems to perform stream or batch processing. Key to compliance applications is to give transparency to users over their data pipelines. That means baking in processing transparency into our infrastructure from day one and giving users (and ourselves!) an intuitive UI to drill into what is happening at every stage of the pipeline.
Financial markets are fast paced and the volume of transactions reaches easily into the 100,000s each day, so our technology needs to scale. The sensitive nature of the data being handled means our services need to be secure and offer high availability.
Currently we are using: mostly Java 11 (moving the 17 soon!), Docker, Kubernetes, Google Compute Platform, RESTful server APIs, Maven, GitHub, Codefresh, Artifactory, Auth0, Linux, xText, xTend, Angular, Typescript, Eclipse Plugin Development, D3 Graphics, npm.
There’s also scope to pick the stack for the new large-scale product that we are looking to build.

Our Engineering Approach

We fully embrace open source technologies, which we leveraged ourselves to build Rosetta.

In terms of tech stack - the world is our oyster! We can use any tech we want - as long as it supports our platform. Preferring flexibility, we favour best-in-class technologies. We promote a right tool for the right job culture. This means we try to keep our work flexible, too.
We use Agile development but are not dogmatic about specific parts of Agile. We believe it allows us to create better software by brings the users and developers closer together.
We love quick development cycles and that means we invest in our CI/CD infrastructure. We define our build in code, and builds are kicked off on every GitHub push. For pipelines that create deployable Docker images, those are automatically deployed onto our auto-sizing Kubernetes clusters.
We love writing software and solving problems, not just applying security patches to build servers. That’s why we use Helm charts to package out deployments, Codefesh as out Dev Ops platform, Artifactory to host our binaries, and Google Cloud Platform to host everything else.
We commit to driving innovation in the industry and have participated in the FCA Tech Sprint (Nov 2017), the Accenture Innovation Lab (2018), the ING Fintech Village (2018) and Allen & Overy’s Fuse (2018-2020). We also sat on the judging panel at the Barclays #DerivHack (Nov 2018 and 2019) and won the Bank for International Settlements (BIS) Innovation Hub G20 TechSprint (2020).
  • Engineering
  • Remote / London (Zone 1)
  • £50-80k

Benefits

  • Pension plan (statutory)
  • Share options
  • Flexible remote / office working

Video Insights from The Engineering Team

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Why work at REGnosys

We are a passionate, high⁠-⁠performing bunch and we also like having a blast along the way.​​

What we'll offer you
  • A team of passionate and experienced engineers who like getting stuff done while having fun along the way
  • An opportunity to develop cutting-edge software in an open-source-first framework
  • Freedom to leverage best-in-class solutions and influence technology choices
  • Competitive pay, no red tape, no politics
  • A participation into the company’s success through equity incentive at all levels
  • A team who genuinely values individual well-being and embraces flexible working practices
Note on flexible working
Being flexible about how people work is important to us. The team all have years of experience and most of us have young families so we all know what it’s like juggling work and family life. During the pandemic, the team has operated fully virtually and has been just as productive in person or remotely.

Reporting Audit

First, map your data into CDM...

We have it covered it. All it takes is a +/- 2-day immersion workshop with your tech team to build your mappings.
As a by-product, you get a ready-to-use API to convert all your trade data

… And access your audit results on-line…

Once your trade data have been mapped, our reporting engine compares its output to your reports and analyses any discrepancy.
Analysis is developed within 6 weeks and results published into a web application.

… Through a powerful user interface

Forget static audit reports that end-up on a shelf.
Our reporting engine is available on-demand to reconcile your reporting process end-to-end and down to single trade flow, through a fully interactive interface.
Contact us

CDM Integration

We do the data mappings for you…

Just extract transaction data from your booking, reporting or any other systems, we handle the rest.
We build mappings in immersion with your tech team, as a packaged +/- 2-day workshop that includes valuable CDM training – and is fun (yes, really)!

… And deliver you a packaged output…

Forget data mapping spreadsheets and forget hard-coded translation buried deep into your code base.
What you get is a transparent, maintainable CDM translation dictionary, automatically packaged into an API to translate your internal trade messages.

… Which you can start using right away

Start using the API for testing right away. For production deployment, we offer a range of hosting options that adapt to your technology stack.
The application grows with you. Just edit your dictionary to connect more and more systems to CDM.
Contact us

Model-Driven Regulation

Bring-on the regulatory text…

Can be anything in your existing corpus, as long as it’s digestible and relatively self-contained.
The target is to deconstruct that text and reconstruct a model of the regulation in +/- 2 days.

… We’ll handle the rest…

Our team of regulatory and engineering experts works in immersion with you and guide the process from start to finish.
Our promise: some executable code running by the end of the workshop, delivered to you and ready for demonstration.

… And you’re ready to develop rules on your own

All it takes is a cross-functional team, ideally all-encompassing from policy to technology, who is open to a fresh (and fun!) approach.
The buck doesn’t stop there. Your team is now empowered to carry that project forward inside your organisation.
Contact us

Data Modelling

Take an existing data pipeline of any form…

Just choose among your existing business processes to experiment a model-driven approach in +/- 2 days.​
We can start from any kind of artefact, from XML messages down to Excel or even PDF documents.

… To demonstrate the model-driven approach…

Our team of data engineering experts works in immersion with you and guide the process from start to finish.​
Our promise: some executable data pipeline running based on your model by the end of the workshop.

… Which you can deploy within your organisation

All it takes is a cross-functional team of developers and non-developers, who is open to a fresh (and fun!) approach.​
The buck doesn’t stop there. That team is now empowered to carry that project forward and build model-based pipelines for your organisation.
Contact us