Develop and implement software applications that automate and optimise financial processes, enhancing efficiency and mitigating risks. Collaborate with business stakeholders and technical colleagues to identify areas for process improvement and design technical solutions that align with business objectives. Leverage data science and analytics expertise to extract actionable insights and support data-driven decision-making. Work closely with cross-functional teams, including the tech team, to architect and deploy solutions that fulfil business requirements and strategic goals. Communicate complex technical concepts effectively to non-technical stakeholders, including business leaders and external partners. Key Responsibilities
Develop and implement software applications that automate and optimise financial processes, enhancing efficiency and mitigating risks. Collaborate with business stakeholders and technical colleagues to identify areas for process improvement and design technical solutions that align with business objectives. Leverage data science and analytics expertise to extract actionable insights and support data-driven decision-making. Work closely with cross-functional teams, including the tech team, to architect and deploy solutions that fulfil business requirements and strategic goals. Communicate complex technical concepts effectively to non-technical stakeholders, including business leaders and external partners. Technical Expertise
Proficiency in Python is required; familiarity with additional programming languages such as Java, C++, Go, Rust, and others is a plus. Strong understanding of software architecture patterns, including microservices and event-driven architecture. Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and containerisation technologies like Docker, along with orchestration tools such as Kubernetes. In-depth knowledge of software development lifecycle methodologies, with hands-on experience in DevOps practices and CI/CD pipelines. Familiarity with frontend technologies, including React, Next.js, and JavaScript. Understanding of data science and analytics techniques, including machine learning and statistical modeling. Experience with integrating open-source machine learning platforms. Knowledge of how to design and implement data pipelines for efficient data processing and integration. Experience with database management systems, encompassing both relational and NoSQL databases. Seniority level
Entry level Employment type
Contract Job function
Information Technology Industries
Software Development
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