Senior Full Stack Quant Developer
ago
Location
Waterloo, London
Hybrid
Salary
£120k+ per year
Employment Type
Full Time
Experience Level
Entry
Junior
Mid
Senior
Expert
Our Client
Global Energy Company
SPECIALTY
Upstream/Downstream, Bio-Fuels, Integrated Gas, New Energies, Chemicals, Energy and Trading
INDUSTRY
Energy
Company Size
80000+ Employees
Aubay's Take
Our client is one of the Super Major global energy companies with who are working to power progress through cleaner energy solutions. You will have the opportunity to work in a challenging but rewarding environment that is fast paced and changing fundamentally, and work towards transforming the business of a Super Major energy company to meet the ambition to be a net-zero emissions energy business by 2050, whilst delivering a world class business case that has a strong societal license to operate. In your role you will be expected to enact change and deliver value globally across business lines and geographies.
Benefits from Aubay
At Aubay UK, people are at the heart of our business. We offer a competitive remunerations package which includes a range of benefits. You will receive continuous support from our dedicated team of Talent Acquisition Specialists who will support your career development and success during your assignment with our client.
25 Days Annual Leave
Work From Home Opportunities
Pension Scheme
Opportunities to Work Directly with our Client
Training Opportunities
Discount Holidays at I'Aero Chalet
Role Summary
Aubay UK is seeking a Senior Full Stack Quantitative Developer to join a high-performing team focused on building advanced applications for commodities trading and financial analytics. This role blends hands-on development, stakeholder collaboration and mentoring, with a strong emphasis on Python, Azure cloud and quantitative methods.
Required Skills and Experience
- Extensive experience in Python application development within trading, finance, or quantitative domains
- Strong proficiency with Python numerical libraries (e.g., Pandas, NumPy, SciPy, Statsmodels)
- Proficiency in at least one strongly typed programming language (e.g., C#, C++, Rust, Java)
- Solid background in Azure cloud development, including security, observability, storage, and databases
- Hands-on experience with DevOps tools and practices: Infrastructure as Code, Kubernetes, Docker
- Expertise in data engineering technologies such as Databricks, PySpark, Lakehouses, and Kafka
- Strong grasp of software engineering principles, including test automation and design patterns
- Advanced mathematics and quantitative analysis skills, ideally with exposure to financial derivatives
- Domain knowledge in energy commodities—particularly LNG, Gas, or Power Trading
- Proven ability to translate business and quantitative requirements into scalable technical solutions
Desired Skills and Experience
- Experience with PnL, Greeks, volatility, partial derivatives, and normal distribution concepts
- Strong understanding of financial markets and risk management practices
- Ability to lead technical teams in Agile environments
- Prior experience mentoring junior developers and contributing to hiring processes
- Excellent communication skills for engaging both technical and non-technical stakeholders
Key Role Responsibilities
- Design, develop, and maintain secure, scalable applications using Python and Azure cloud technologies
- Build and optimize data pipelines using modern engineering tools and frameworks
- Collaborate with quantitative analysts, traders, and developers to deliver impactful solutions
- Apply software design patterns to ensure flexibility and maintainability
- Champion DevOps best practices and automation across the development lifecycle
- Mentor junior team members and support their technical growth
- Participate in interviews and team expansion initiatives
- Communicate complex technical concepts in accessible terms to diverse audiences.