Overview

Role Summary: This role demands skills and perseverance to modernise tech stacks and data pipelines of well established StarMine Quant models in Python to provided specifications, and to build brand-new quantitative/predictive models with help of machine learning algorithms working in collaboration with our data science and Research teams. Build data pipelines to break down complicated calculations into stages.

Main Responsibilities / Accountabilities

• We engage with product owners, architects and other specialists to craft and build sophisticated, world-class analytics models to address our customer needs.


• Building and maintaining efficient, reusable, reliable and secure enterprise software, adhering to company standards.


• We demonstrate a consistent focus on quality, ensuring that our team delivers robust software through the creation and execution of automated unit and integration tests, and documentation.


• Providing technical support to Operations or other development teams.


• Help the team to develop and learn, conduct review work of peers and more junior developers, providing advice and guidance to benefit the team.


• Through agile retrospectives and reviews, we will inspect and adapt, finding innovative ways to help our team work more effectively.


• Through participation in refinement and planning sessions, we work with other team members to analyse development requirements, provide design options and complexity estimates, and agree how to deliver.


• Actively participating in meetings, you will give timely status updates on your areas of responsibility.


• Take initiatives in building resiliency in the team and keeping a healthy work environment for oneself and all.

Crucial Skills & Experience Required

• Strong practical knowledge and experience of one or more of the following: Python, Java, Kotlin.


• Strong problem solving, algorithmic thinking and coding skills.


• Able to create performant SQL queries and general database knowledge.


• Experience in development of sophisticated distributed systems.


• Positive demeanour about learning new skills and technologies.


• Dedicated, goal-oriented teammate with good interpersonal skills.


• Ability to work in highly agile, Sprint-based team environment.

Desirable, but not crucial skills

• Building and deploying Cloud applications.


• Web API development.


• Working with financial data.


• Linux/Unix Experience.


• Containerised development.


• Analytics libraries like Pandas, PySpark, DuckDB etc.


• Basic knowledge of working with Docker, Podman, Kubernetes.


• Experience with Infrastructure-as-Code tools like Terraform.


• Proficient with Git.


• Proficient with CI/CD automation using GitLab or similar.


• Azure Fabric experience


• Vision to use machine learning and AI algorithms to the data

Education / Certifications

• A relevant degree or equivalent experience is desirable, but the right approach to work is just as important.


• AWS/Azure certification a nice to have.

LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth.

Our values of Integrity, Partnership, Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions.

We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.

Please take a moment to read this privacy notice carefully, as it describes what personal information London Stock Exchange Group (LSEG) may hold about you, what it’s used for, and how it’s obtained, your rights and how to contact us as a data subject.