Design, implement and maintain backend systems for a financial platform. Collaborate with quants, frontend and platform teams to build cloud-native AWS services, HTTP APIs and event-driven microservices using Rust and Python. Model complex financial trades, work with MySQL, MongoDB and other databases, and support performance-critical systems and observability.
Validus is looking for a financial software engineer to join our back-end team. This team is responsible for designing, implementing and maintaining the systems and services powering the rapidly growing, award-winning technology offering at Validus.
The back-end team is part of the broader technology team working in collaboration with quants, frontend and platform engineers. Our teams work together to grow our award-winning tech platform, Horizon. Horizon comprises multiple applications for trade execution, portfolio management and risk analysis for alternative asset managers in various domains, such as private equity, private debt and real estate.
Key Responsibilities:
- Engage with external stakeholders and clients to understand their needs and design solutions for capturing and integrating their data for it to be utilised on Horizon.
- Work closely with internal stakeholders, including Validus’s quant, risk advisory, and global capital market desks to understand their needs, gather requirements and propose new solutions.
- Build a strong understanding of FX and interest rate products, the related financial markets, and market data sources.
- Support ad hoc maintenance of our applications and scheduled processes.
- Implement cloud-native solutions on AWS, ranging from HTTP APIs to event-driven microservices utilising gRPC. Solutions are built in Rust and Python (with Django/FastAPI web frameworks).
- Design data models for elegantly capturing the business domain of complex trades across multiple asset classes. You will be exposed to several databases, but the primary database for portfolios (investments, leverages and derivatives) will be MySQL and MongoDB.
- Build out performance-critical systems written in Rust, and contribute efficient, testable and maintainable code to our Python codebase with performance and observability in mind.
Requirements
- The ideal candidate will likely hold a Bachelor's degree or higher in computer science, mathematics, finance or a related field.
- Experience with financial or market risk modelling is a plus but not required. The role is heavily finance focused, so a keen interest is expected.
- Abstract thinking, an interest in designing financial object models.
- Experience with one or more modern programming languages. We mostly use Rust and Python, but we are keen to speak with strong engineers from any background.
- Experience with databases. We use MongoDB, MySQL and DynamoDB, but experience with other database technologies would also be valuable.
- Experience with AWS is a plus but not required.
- Curiosity to explore new technologies. We are constantly looking for potential technologies to improve our platform.
Preferred Qualifications/Experience:
- Experience with financial risk management software or platforms.
- Knowledge of AWS computing platforms and services.
Benefits
- Validus assesses market data to ensure a competitive compensation package for our employees. The base salary for this position is expected to be between $100,000 and $150,000 per year at the commencement of employment. However, base salary if hired will be determined on an individualised basis, including as to experience and market location, and is only part of the Validus total compensation package, which, depending on the position, may also include, generous bonus, and Company-sponsored benefit programs.
- Performance bonus linked to agreed success criteria - paid semi annually
- 20 days’ holiday (increasing to 25 with tenure) plus bank holidays
- Private health insurance (including dental, optical and mental health)
- Travel insurance
- Learning & development allowance and support for professional qualifications
- No AI is used to screen, assess or select applicants
Ref: 2506
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