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- Tasks: Engage with clients, develop AI prototypes, and validate solutions in a dynamic trading environment.
- Company: Join a leader in AI-driven financial technology, revolutionising quantitative backtesting software.
- Benefits: Enjoy flexible working options and the chance to work with cutting-edge technologies.
- Why this job: Be part of an innovative team shaping the future of finance with impactful AI solutions.
- Qualifications: 3+ years of Python experience, cloud knowledge, and strong communication skills required.
- Other info: Contact Ciara Clarke for a confidential discussion about this exciting opportunity.
The predicted salary is between 36000 - 60000 £ 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 discussions.
✨Tip Number 2
Brush up on your Python skills, especially in relation to AI and cloud services. Being able to discuss specific projects or prototypes you've worked on can set you apart from other candidates and show your hands-on experience.
✨Tip Number 3
Practice explaining complex technical concepts in simple terms. Since you'll be presenting to both technical and non-technical audiences, honing this skill will make you a more effective communicator and a valuable asset to the team.
✨Tip Number 4
Network with professionals in the finance and AI sectors. Attend relevant meetups or webinars to connect with others in the field, which could lead to valuable insights and potential referrals for your application.
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: In your cover letter, express your enthusiasm for the role and the company. Discuss how your background aligns with the responsibilities of engaging with clients and developing AI prototypes. Mention any relevant projects or experiences that showcase your ability to communicate effectively with both technical and non-technical audiences.
Showcase Relevant Projects: If you have worked on projects involving AI technologies or financial applications, be sure to include them in your application. Describe your role, the technologies used, and the impact of your work. This will help demonstrate your practical experience and problem-solving skills.
Prepare for Technical Questions: Anticipate technical questions related to Python, cloud services, and software development practices during the interview process. Brush up on your knowledge of databases like Postgres and Redis, and be ready to discuss how you validate solutions against user stories and test cases.
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 technologies.
✨Understand Financial Concepts
Brush up on key financial concepts and terminologies. Being able to speak knowledgeably about finance will demonstrate your strong 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 approach to software development best practices.
✨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.
