We are seeking a highly motivated Software Engineer to join a high-performing team building next-generation trading and risk systems. This role offers end-to-end involvement across the software development life cycle, including the development of major greenfield components within a strategic platform. You will work closely with both technology and business stakeholders to deliver impactful solutions directly to trading desks and senior leadership, contributing to mission‑critical initiatives across global markets. emagine is a high‑end professional services consultancy and solutions firm specializing in providing business and technology services to the financial services sector. We power progress, solve challenges and deliver real results through tailored high‑end consulting services and solutions. We have created a culture of openness and integrity by building genuine and strong relationships and partnerships, enabling us to be uncompromising in our dedication in delivering the optimal service for our clients. Our commitment is not just towards our clients but we aim to foster a positive and equitable working environment with our consultants and colleagues which stems from our core values: Confident, Dedicated, Responsible, Genuine.
Responsibilities
- Design and develop robust, scalable Python applications for risk and trading analytics.
- Work with large‑scale datasets (billions of rows), ensuring performance and efficiency.
- Collaborate closely with quants, traders, and business stakeholders to interpret requirements and translate them into technical solutions.
- Contribute to system architecture and build components from the ground up.
- Take ownership of deliverables and drive workstreams independently.
Requirements
- Strong Python engineering background (5+ years of hands‑on development building full applications, not just scripting).
- Deep familiarity with the Python ecosystem and core libraries.
- Solid computer science fundamentals and understanding of system design.
- Experience building scalable, high‑performance data processing systems.
- Ability to operate as a self‑starter with strong ownership and initiative.
- Prior exposure to risk systems, trading platforms, or pricing models (nice to have).
- Understanding of financial products and quantitative concepts.
- Experience working directly with quants and business stakeholders.
