At a Glance
- Tasks: Lead the development of innovative AI solutions for financial markets.
- Company: Join LSEG, a global leader in financial markets infrastructure and data.
- Benefits: Enjoy competitive pay, flexible work options, and comprehensive benefits.
- Why this job: Be part of a dynamic team driving sustainable economic growth through technology.
- Qualifications: Expertise in Python, cloud technologies, and leadership in software engineering required.
- Other info: Hybrid work model with a focus on collaboration and individual growth.
The predicted salary is between 48000 - 84000 £ per year.
Are you an experienced software engineer with a passion for productionising data science solutions? Do you want to build innovative solutions for financial markets and professionals by leading teams of brilliant, collaborative software engineers? If so, we’d love to talk to you.
As the Senior Lead Software Engineer, you will drive the technical strategy and development of high-impact, scalable AI solutions, leading software teams through the complete software lifecycle – from architecture to deployment. We are looking for expert backend developers with proven ability to mentor engineers, deliver high-quality code that aligns with business goals, and manage project timelines. You will combine strategic thinking, strong problem-solving skills, and a collaborative approach to ensure your team successfully ships efficient software.
What you’ll be doing:
- Lead the design, architecture and development of scalable AI software solutions, ensuring alignment with business objectives and technical standards.
- Solve complex technical issues, optimize development workflows, and provide strategic insights to partners to support project goals and timelines.
- Establish and enforce high-quality coding practices, including code reviews, testing standards, and standards to maintain robust and clean code.
- Mentor and guide engineers across skill levels, fostering a collaborative and growth-focused team culture while ensuring high-quality code practices.
- Collaborate closely with Data Science and software engineering teams to define project requirements, set technical direction, and establish development roadmaps.
What you’ll bring:
- Extensive experience in software engineering with a focus on designing and implementing high-performance, scalable systems.
- Proficiency in Object-Oriented programming in Python for backend development.
- Expertise in cloud technologies (emphasis on Azure and/or AWS) and deployment practices, ensuring seamless and scalable delivery.
- Proven ability to establish and uphold coding and design standards to ensure high-quality, maintainable code.
- Effective leadership and collaboration skills, with experience leading engineering teams and communicating technical requirements to both technical and non-technical team members.
- Working knowledge of DevOps practices, including CI/CD pipelines, automated testing, and monitoring, to streamline development workflows and improve deployment reliability.
Education:
Bachelor’s degree in Engineering, Computer Science, Data Science, Statistics, Mathematics, Physics or related field, or equivalent work experience.
What you’ll get in return:
- High-impact projects: We work on a variety of pioneering AI products and leverage extensive datasets to solve high-value challenges.
- Competitive benefits: We offer a strong compensation package, comprehensive benefits, and ongoing investment in career growth and skill development.
- Industry leadership: We deliver brand-new products that democratize modeling and analytics solutions.
- Career progression: We provide opportunities for continuous learning and professional development in a work environment of dedicated, highly experienced teams.
We recognize that to attract the best talent, we need to be flexible, and we are open to discussing work arrangements with you. We take a hybrid approach to the workplace; this role is considered ‘digital first’, which requires attending the office at least one day per week while some teams and colleagues choose to collaborate in the office more frequently.
LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives. We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone’s 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.
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.
Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce. You will be part of a collaborative and creative culture where we encourage new ideas and are committed to sustainability across our global business.
Senior Lead Software Engineer (Python) employer: LSEG (London Stock Exchange Group)
Contact Detail:
LSEG (London Stock Exchange Group) Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Lead Software Engineer (Python)
✨Tip Number 1
Familiarise yourself with the latest trends in AI and cloud technologies, especially Azure and AWS. Being able to discuss recent advancements or projects you've worked on that utilise these technologies can set you apart during interviews.
✨Tip Number 2
Showcase your leadership skills by preparing examples of how you've successfully mentored junior engineers or led a team through complex projects. This will demonstrate your ability to align with the role's requirements.
✨Tip Number 3
Brush up on your knowledge of DevOps practices, particularly CI/CD pipelines and automated testing. Being able to articulate how you've implemented these practices in past roles will highlight your technical expertise.
✨Tip Number 4
Prepare to discuss your approach to problem-solving and how you optimise development workflows. Having specific examples ready can help illustrate your strategic thinking and collaborative mindset, which are key for this position.
We think you need these skills to ace Senior Lead Software Engineer (Python)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in software engineering, particularly with Python and cloud technologies like Azure or AWS. Emphasise your leadership skills and any relevant projects that demonstrate your ability to mentor others and deliver high-quality code.
Craft a Compelling Cover Letter: In your cover letter, express your passion for building innovative solutions in financial markets. Discuss how your strategic thinking and problem-solving skills align with the role's requirements, and provide examples of how you've successfully led teams through the software development lifecycle.
Showcase Relevant Projects: Include specific examples of projects where you have designed and implemented scalable systems. Highlight your experience with AI solutions and any contributions to optimising development workflows or establishing coding standards.
Highlight Soft Skills: Since this role requires effective collaboration and communication, make sure to mention your soft skills. Discuss your experience in leading diverse teams and how you foster a collaborative culture while ensuring high-quality coding practices.
How to prepare for a job interview at LSEG (London Stock Exchange Group)
✨Showcase Your Technical Expertise
As a Senior Lead Software Engineer, it's crucial to demonstrate your extensive experience in software engineering, particularly with Python and scalable systems. Be prepared to discuss specific projects where you've successfully implemented high-performance solutions and how you approached complex technical challenges.
✨Emphasise Leadership Skills
This role requires effective leadership and collaboration skills. Share examples of how you've mentored engineers and led teams through the software lifecycle. Highlight your ability to communicate technical requirements clearly to both technical and non-technical team members.
✨Discuss Coding Standards and Practices
Be ready to talk about your approach to establishing and upholding coding and design standards. Discuss your experience with code reviews, testing standards, and how you ensure high-quality, maintainable code within your teams.
✨Prepare for Problem-Solving Scenarios
Expect to face questions that assess your problem-solving skills. Prepare to discuss how you've optimised development workflows or solved complex issues in past projects. Use the STAR method (Situation, Task, Action, Result) to structure your responses effectively.