Front Office D&A Application Engineer

Main Purpose:

We are recruiting for a software engineer to work directly with the traders and research analysts in our trading teams. This is an exciting opportunity to work in a fast-paced commercial setting, playing a vital role in a real time, data and software driven trading environment.

Whilst working directly with the trading teams who are based in various global sites such as Geneva, Houston and Singapore, the engineer will be part of the global data science and engineering team who are responsible for the ingestion and management of market and fundamental data, sophisticated modelling techniques, data & analytics applications and solutions.

The software engineer will be technically leading and building applications and software using groundbreaking cloud and software technology stacks. Building end to end software platforms and stacks in a modern and innovation fuelled business.

Knowledge Skills and Abilities, Key Responsibilities:

Key Responsibilities

• Engineer software such as components, frameworks and micro-services, applications and tools for front office.
• Build core infrastructure and common services for use across DnA applications, such as common services and frameworks.
• Build cloud native big data platforms and analytics solutions
• Build and maintain time critical data integration pipelines (ETL/ELT)
• Implement a strong SDLC and agile principles to software delivery
• Apply domain driven design
• Problem solving and applying software solutions and automation to sophisticated business issues and processes

Abilities, Experience and Qualifications:

• 5+ years of software engineering experience
• Java or Python experience necessary
• Object oriented programming understanding
• Test driven development experience
• Cloud and modern development experience
• Experience building micro-views/mini-apps would be welcome
• AWS experience (E.g. S3, Redshift, Glue, Lambda) nice to have, willingness to learn – essential
• Bachelor’s degree in computer science or related subject
• AWS certifications are a plus
• Prior front office experience in Commodities, Fixed Income, Equities, Asset Management would be a plus

Competencies:

• Outstanding communication and ability to interact with a diverse set of partners across business lines and technology
• Understanding and experience implementing software engineering best practices
• Ability to tackle problems under pressure
• Ability to effectively prioritise tasks of high importance

Key Relationships and Department Overview:

The Data Science and Engineering team researches, develops, and provides sophisticated analytics and data services and applications to the trading business, and other commercial operations at Trafigura.