At a Glance
- Tasks: Develop innovative workflows and automate tasks using advanced AI and cloud technologies.
- Company: Join FactSet, a leading tech company in financial data solutions.
- Benefits: Enjoy flexible work, health benefits, and career growth opportunities.
- Why this job: Make a real impact with cutting-edge technology in a collaborative environment.
- Qualifications: 5+ years in software engineering, experience with Python and cloud architecture.
- Other info: Be part of a global community focused on sustainability and volunteerism.
The predicted salary is between 28800 - 48000 £ per year.
FactSet creates flexible, open data and software solutions for over 200,000 investment professionals worldwide, providing instant access to financial data and analytics that investors use to make crucial decisions. FactSet's AI & Automation team works to improve productivity of all employees using advanced AI and automation tools, enabling us to focus on higher value work. You will play a significant role in implementing solutions that benefit your colleagues.
What You'll Do:- Develop groundbreaking agentic workflows tailored to task automation within inhouse, and 3rd party licensed software service eco-systems.
- Implement agents within frameworks to automate various repetitive manual tasks and summarise data out of corporate tools in concise human readable form.
- Design insight generation techniques that summarise key highlights from large complex datasets and support natural language prompts for deep-dive analysis.
- Construct and maintain robust data pipelines capable of processing complex structured and unstructured quantitative and textual data, ensuring high quality inputs for our models.
- Work closely with data scientists and ML engineers to integrate and manage diverse ML and NLP models within production environments effectively.
- 5+ years of software engineering experience, partially focused on LLM/AI solutions.
- Experience with python notebooks in Databricks (or similar tech stack) is essential.
- Strong hands-on experience with LLM SaaS providers (OpenAI, Claude, Gemini).
- Demonstrated expertise and managed services within cloud architecture (primarily AWS).
- Proficient in Python/Typescript/Nodejs, with strong skills in API development.
- Knowledge of major database architectures including SQL, NoSQL, and Vector databases.
- Experience with Knowledge Graphs and architecting LLM-powered solutions.
- ML Solutions experience is preferred.
- Bachelors degree in computer science or relevant.
- Excellent communication skills, capable of engaging both technical and business audiences alike, and leading cross-functional projects.
- An interest in mentoring junior team members.
At FactSet, our people are our greatest asset, and our culture is our biggest competitive advantage. Being a FactSetter means:
- The opportunity to join an S&P 500 company with over 45 years of sustainable growth powered by the entrepreneurial spirit of a start-up.
- Support for your total well-being. This includes health, life, and disability insurance, as well as retirement savings plans and a discounted employee stock purchase program, plus paid time off for holidays, family leave, and company-wide wellness days.
- Flexible work accommodations. We value work/life harmony and offer our employees a range of accommodations to help them achieve success both at work and in their personal lives.
- A global community dedicated to volunteerism and sustainability, where collaboration is always encouraged, and individuality drives solutions.
- Career progression planning with dedicated time each month for learning and development.
Salary is just one component of our compensation package and is based on several factors including but not limited to education, work experience, and certifications.
Company Overview:FactSet (NYSE:FDS | NASDAQ:FDS) helps the financial community to see more, think bigger, and work better. Our digital platform and enterprise solutions deliver financial data, analytics, and open technology to more than 8,200 global clients, including over 200,000 individual users. Clients across the buy-side and sell-side, as well as wealth managers, private equity firms, and corporations, achieve more every day with our comprehensive and connected content, flexible next-generation workflow solutions, and client-centric specialized support. As a member of the S&P 500, we are committed to sustainable growth and have been recognised among the Best Places to Work in 2023 by Glassdoor as a Glassdoor Employees' Choice Award winner. At FactSet, we celebrate difference of thought, experience, and perspective. Qualified applicants will be considered for employment without regard to characteristics protected by law. At FactSet, our values are the foundation of everything we do. They express how we act and operate, serve as a compass in our decision-making, and play a big role in how we treat each other, our clients, and our communities. We believe that the best ideas can come from anyone, anywhere, at any time, and that curiosity is the key to anticipating our clients' needs and exceeding their expectations.
Software Engineer - Python, Cloud Architecture, Databricks (or similar tech stack) - hybrid in London employer: FactSet Research Systems Inc.
Contact Detail:
FactSet Research Systems Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Software Engineer - Python, Cloud Architecture, Databricks (or similar tech stack) - hybrid in London
✨Tip Number 1
Network like a pro! Reach out to current employees at FactSet on LinkedIn or other platforms. Ask them about their experiences and any tips they might have for landing a role in the AI & Automation team.
✨Tip Number 2
Prepare for technical interviews by brushing up on your Python, cloud architecture, and API development skills. Practice coding challenges and be ready to discuss your past projects that align with the job description.
✨Tip Number 3
Showcase your passion for AI and automation during interviews. Share your thoughts on recent trends in LLMs and how you’ve applied similar technologies in your previous roles. This will help you stand out!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re genuinely interested in joining the FactSet family.
We think you need these skills to ace Software Engineer - Python, Cloud Architecture, Databricks (or similar tech stack) - hybrid in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, cloud architecture, and any relevant tech stacks like Databricks. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about AI and automation. Share specific examples of how you've implemented solutions in the past that could benefit our team.
Showcase Your Communication Skills: Since you'll be engaging with both technical and business audiences, make sure to demonstrate your communication skills in your application. We love candidates who can bridge the gap between tech and business!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you're keen on joining our team!
How to prepare for a job interview at FactSet Research Systems Inc.
✨Know Your Tech Stack
Make sure you’re well-versed in Python, Databricks, and any other relevant technologies mentioned in the job description. Brush up on your experience with LLM SaaS providers like OpenAI and cloud architecture, especially AWS. Being able to discuss specific projects where you've used these technologies will show your expertise.
✨Showcase Your Problem-Solving Skills
Prepare to discuss how you've tackled complex data challenges in the past. Think of examples where you've designed workflows or automated tasks that improved efficiency. This is your chance to demonstrate your ability to think critically and creatively, which is key for the role.
✨Communicate Effectively
Since the role involves engaging both technical and business audiences, practice explaining your technical projects in simple terms. Be ready to discuss how you can bridge the gap between tech and business needs, showcasing your communication skills and ability to lead cross-functional projects.
✨Be Ready to Collaborate
Highlight your experience working with data scientists and ML engineers. Prepare to discuss how you’ve integrated diverse models into production environments. Showing that you value teamwork and collaboration will resonate well with the company culture at FactSet.