Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Engage with clients to develop AI solutions that enhance financial workflows.
- Company: Join a leader in AI-driven quantitative backtesting software, revolutionising the trading world.
- Benefits: Enjoy a dynamic work environment with opportunities for innovation and growth.
- Why this job: Be part of a cutting-edge team shaping the future of finance through technology.
- Qualifications: 3+ years of Python experience and knowledge of cloud providers required.
- Other info: Contact Ciara Clarke for a confidential discussion about this exciting role.
The predicted salary is between 43200 - 72000 £ per year.
Explore the forefront of financial technology with a leader in AI-driven quantitative backtesting software. You’ll join a team dedicated to pushing the boundaries of what’s possible in the trading world, using innovation to drive real results.
What you will do:
- Engage with clients, in the financial sector, to understand their business challenges and current workflows.
- Gather, analyze, and document client requirements for AI-enabled solutions.
- Develop AI prototypes in Python, building on AI technologies, that automate and enhance client workflows.
- Validate solutions against gathered user stories and test cases.
- Present prototypes and solutions to both technical and non-technical audiences.
- Collaborate with cross-functional teams and keep abreast of emerging technologies to continuously improve AI offerings.
What you’ll need to succeed:
- Minimum of 3+ years of experience with Python and major cloud providers (AWS, Azure, or GCP).
- Proven experience in building Rest APIs with frameworks such as Flask/FastAPI.
- Strong experience in software development best practices: CI, Testing, Deployment.
- Proficiency in the Linux ecosystem.
- Experience with databases such as Postgres and Redis.
- Strong interest in finance and AI.
- Excellent communication skills as you will be directly working with clients.
If you’re ready to contribute to pioneering solutions that shape the future of finance, we want to hear from you. Contact Ciara Clarke for a confidential discussion on this role.
Analyst Developer employer: Harrington Starr
Contact Detail:
Harrington Starr Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Analyst Developer
✨Tip Number 1
Familiarise yourself with the latest trends in financial technology and AI. Understanding how these technologies are currently being applied in the industry will help you engage more effectively with clients and demonstrate your knowledge during interviews.
✨Tip Number 2
Brush up on your Python skills, especially in relation to building Rest APIs using frameworks like Flask or FastAPI. Consider working on a small project that showcases your ability to develop AI prototypes, as this will give you practical examples to discuss in interviews.
✨Tip Number 3
Practice explaining complex technical concepts in simple terms. Since you'll be presenting solutions to both technical and non-technical audiences, being able to communicate clearly will set you apart from other candidates.
✨Tip Number 4
Network with professionals in the finance and AI sectors. Attend relevant meetups or webinars to connect with potential colleagues and learn about the challenges they face. This can provide valuable insights that you can leverage during your application process.
We think you need these skills to ace Analyst Developer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, cloud providers, and building Rest APIs. Use specific examples that demonstrate your skills in software development best practices and your interest in finance and AI.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for financial technology and AI. Mention how your background aligns with the job requirements and express your enthusiasm for contributing to innovative solutions in the trading world.
Showcase Relevant Projects: If you have worked on any relevant projects, especially those involving AI prototypes or client engagement, be sure to include them in your application. Highlight your role and the impact of these projects on client workflows.
Prepare for Client Interaction: Since the role involves engaging with clients, prepare to discuss your communication skills and experiences in understanding client needs. Be ready to provide examples of how you've successfully collaborated with clients in the past.
How to prepare for a job interview at Harrington Starr
✨Showcase Your Python Skills
Make sure to highlight your experience with Python during the interview. Be prepared to discuss specific projects where you've used Python, especially in relation to AI and financial technology.
✨Understand Financial Concepts
Brush up on key financial concepts and terminology. Being able to speak knowledgeably about finance will demonstrate your interest in the sector and help you connect with the interviewers.
✨Prepare for Technical Questions
Expect technical questions related to building Rest APIs and using cloud services like AWS or Azure. Review your past experiences and be ready to explain your thought process and problem-solving approach.
✨Practice Communication Skills
Since you'll be engaging with clients, practice explaining complex technical concepts in simple terms. This will show your ability to communicate effectively with both technical and non-technical audiences.
