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For Companies At a Glance
- Tasks: Join the DSAI team to enhance GenAI workflows with cutting-edge financial data.
- Company: FactSet, a leading tech company in financial data and analytics.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Why this job: Make an impact in the exciting world of generative AI and financial technology.
- Qualifications: Proficiency in Python or TypeScript, with 2+ years of software engineering experience.
- Other info: Recognised as one of the Best Places to Work in 2023.
The predicted salary is between 36000 - 60000 £ per year.
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.
Join the DSAI team at FactSet, where our mission is to enrich data from across the company to enable it to be used in GenAI workflows. Core to the DSAI infrastructure is a knowledge graph that connects financial concepts to the data available at FactSet. Engineers on the team maintain and enhance a GenAI powered software stack that operates at the intersection of financial data, knowledge management, and data engineering. An ideal candidate for the role would be an individual that has experience or a strong interest in working with generative AI and related technologies. Partner and collaborate with product development leads to identify technical requirements for future product enhancements.
What We're Looking For
- Required Skills
- Proficiency in Python, TypeScript, or similar language and its environment.
- 2+ years of software engineering experience required.
- Proficiency with API design.
- Strong technical writing and presentation skills.
- Familiarity with relational databases and data modeling techniques.
- Bachelor’s degree in computer science, computer engineering, or similar technical field or equivalent practical experience.
- Experience with Cloud platforms such as AWS or Heroku.
- Experience or knowledge of CI/CD concepts and GitHub.
At FactSet, we celebrate difference of thought, experience, and perspective. Qualified applicants will be considered for employment without regard to characteristics protected by law.
Software Engineer (Python, TypeScript, API) - Hybrid 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, TypeScript, API) - Hybrid
✨Tip Number 1
Network like a pro! Reach out to current employees at FactSet on LinkedIn or through mutual connections. A friendly chat can give us insights into the company culture and maybe even a referral!
✨Tip Number 2
Prepare for the technical interview by brushing up on your Python and TypeScript skills. We recommend working on some real-world projects or contributing to open-source to showcase your abilities.
✨Tip Number 3
Showcase your curiosity! During interviews, ask thoughtful questions about how FactSet uses generative AI and data engineering. This not only demonstrates your interest but also aligns with their values.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining the team!
We think you need these skills to ace Software Engineer (Python, TypeScript, API) - Hybrid
Some tips for your application 🫡
Show Your Passion for Tech: When you're writing your application, let your enthusiasm for software engineering shine through! Talk about your experience with Python, TypeScript, or any cool projects you've worked on. We love seeing candidates who are genuinely excited about technology and innovation.
Tailor Your Application: Make sure to customise your application for the Software Engineer role at FactSet. Highlight your relevant skills, especially in API design and data modelling. We want to see how your background aligns with our mission and values, so don’t hold back!
Be Clear and Concise: Keep your writing clear and to the point. Use straightforward language to explain your technical skills and experiences. We appreciate well-structured applications that make it easy for us to understand your qualifications and how you can contribute to our team.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it shows you’re serious about joining our awesome team at FactSet!
How to prepare for a job interview at FactSet Research Systems Inc.
✨Know Your Tech Stack
Make sure you brush up on your Python and TypeScript skills before the interview. Be ready to discuss your experience with API design and how you've used these technologies in past projects. This will show that you're not just familiar with the tools, but that you can apply them effectively.
✨Show Your Curiosity
FactSet values curiosity, so come prepared with questions about their projects, especially around generative AI and knowledge graphs. This not only demonstrates your interest in the role but also shows that you’re proactive about understanding how you can contribute to their mission.
✨Highlight Collaboration Skills
Since the role involves partnering with product development leads, be ready to share examples of how you've successfully collaborated in the past. Discuss any experiences where you identified technical requirements or contributed to team projects, as this aligns with what they’re looking for.
✨Prepare for Technical Questions
Expect some technical questions related to software engineering principles, relational databases, and data modelling techniques. Practise explaining your thought process clearly and concisely, as strong technical writing and presentation skills are essential for this role.
