Your role:
Data is what drives research and trading at VivCourt. It spans everything from system health metrics and fine-grained events deep within our trading infrastructure, to financial market data and the audit trails that support our business. Our Data Engineering team are the stewards of this critical infrastructure, ensuring the data at the heart of VivCourt’s operations is captured, retained, and delivered reliably at scale.
As an engineer in the team, you will help design, build, and support the systems that make this possible. Your responsibilities will include:
- Creating and maintaining real-time data pipelines that process billions of events per day.
- Developing and supporting a bespoke set of tools and frameworks that bolster our R&D efforts.
- Improving the accuracy and completeness of data through automated processes
- Designing and maintaining data models to make complex datasets accessible
- Managing the orchestration and scheduling of data workflows, (research) jobs, and dependencies at scale
- Collaborating with teams across the business to ensure they have the information and tools they need.
This is an opportunity to work on high-scale, high-impact systems that support decision-making across research, trading, engineering, and the wider business.
Who We’re Looking For- An Engineer who thrives in high-performance environments
- 5+ years in professional environments, ideally in a smaller company or fast-moving teams
- Pragmatic, evidence-driven, and focused on outcomes
- Enjoys working closely with users and building systems that get used
- Trading or financial systems experience is a plus, not a requirement
- Shows technical leadership through ownership, sound judgment, and lifting the capability of others.
- Advanced proficiency with Python, Go or C++
- Experience with relational and time-series databases.
- Proficiency developing and deploying software in a Linux environment
- Exposure to networking concepts and protocols.
- Nice to have: experience working with data scientists and/or quants
Skills Required
- 5+ years in professional environments
- Advanced proficiency with Python, Go or C++
- Experience with relational and time-series databases
- Proficiency developing and deploying software in a Linux environment
- Exposure to networking concepts and protocols
What We Do
Vivienne Court Trading Pty Ltd (VivCourt) is a proprietary trading company headquartered in Sydney, Australia. Founded by Rob Keldoulis in 2011, VivCourt trades a diverse range of asset classes using its proprietary technologies, market-leading coverage and global connections. VivCourt operates across all trading styles including market making, quantitative trading and positional trading, with a focus on APAC markets. VivCourt is reimagining the purpose of a trading firm. Their mission is to create a people-first culture that allows people to be authentic and curious, ask questions, and work autonomously. Additionally, VivCourt is driving social change, challenging the finance industry with the company's socially conscious approach. Rob Keldoulis, reflects on the company's origins “Trading can be a wonderful career, but there’s no function to it other than to make money. Doctors heal the sick and lawyers practise law, but a trader’s only job is to generate income over and over. After they make their money, a lot of traders have trouble finding meaning in the industry. I wanted to know if it was possible to take what is basically the most capitalist job in the world and create purpose out of it. Could trading become something that also helped make the world a better place?” Since its inception in 2011, VivCourt has steadily grown and established itself as a pioneer in the financial world. Dedicated to maintaining its edge, VivCourt is in pursuit of top-tier traders and technologists, those with the right mix of skill and attitude, to delve into uncharted markets and set new benchmarks in the industry. A testament to our prowess, the Japan Exchange Group (JPX) has honoured VivCourt as the Best Market Maker in Outstanding ETF Market-Making Performance for three consecutive years.
