Lead Software Engineer - NY Office

LSEG Data & Analytics is one of the world's largest providers of financial markets data and infrastructure. With over 40,000 customers and 400,000 end users across approximately 190 markets, we are an essential partner to the global financial community and redefining the future of data in financial services. We enable customers to draw crucial insights through data, feeds, analytics, AI and workflow solutions.

Our engineers design, develop and deliver the products and services that reimagine how our industry works. Driving innovation through digitalisation and AI, we deliver accelerated impact and excellence for customers every day.

We are seeking a passionate Lead Engineer to help us build robust, enterprise-grade solutions that drive real‑world impact.

Our problems are complex from building AI‑powered analytics that are constantly evolving, to challenges that define modern finance, giving engineers the opportunity to stretch their craft and shape solutions that matter.

Our software engineers have a strong appetite for innovation, new technologies, and AI, both in how we accelerate engineering and in how we create smarter, more valuable experiences for our customers. We encourage curiosity, experimentation, and continuous learning, giving our teams the opportunity to solve complex challenges at scale.

• Experienced Software Engineers 6+ years of experience with one of the following technologies - Java, Python, C++ or C#
• Demonstrated ability to mentor and develop engineers, fostering a culture of technical excellence, continuous learning, and innovation.
• Strong expertise in software architecture, system design, scalability, reliability, and performance optimization for enterprise‑grade applications.
• Experience driving the adoption of AI‑assisted engineering practices and evaluating emerging technologies to improve developer productivity and product innovation.
• Strong experience with CI/CD, unit testing framework and automation (testing/deployment) in cloud platforms such as AWS or Azure
• Curiosity about AI and a strong interest in how emerging technologies can be applied to solve complex software engineering problems.
• Prior Financial Services or Big Tech experience preferred
• Bachelor's degree in Computer Science, Engineering and related field or relevant experience
• Excellent problem‑solving skills and a proactive approach to identifying and resolving issues
• Willingness to learn and work with new technologies across the full stack
• Strong teamwork and communication skills, with the ability to collaborate optimally with cross‑functional teams across multiple regions and timezones

Manager

LSEG is committed to offering competitive Compensation and Benefits. The anticipated base salary for this position is $129,700 - $216,100. Please be aware base salary ranges may vary by geographic location, city and state. In addition to our offered base salary, this role is eligible for our Annual Incentive Plan (AIP/"bonus plan"). Target AIP rates will be commensurate with role level and posted career stage.

Individual salary will be reflective of job related knowledge, skills and equivalent experience. LSEG roles (excluding internships and part‑time roles of less than 20 hours per week) are typically eligible for inclusion in our LSEG Benefits program, which includes offerings of:
Annual Wellness Allowance, Paid time‑off, Medical, Dental, Vision, Flex Spending & Health Savings Options, Prescription Drug plan, 401(K) Savings Plan and Company match. LSEG's Benefits plan also includes basic life insurance, disability benefits, emergency backup dependent care, adoption assistance commuter assistance etc.

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. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.