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For Companies At a Glance
- Tasks: Engage with clients, develop AI prototypes, and present solutions in a dynamic team.
- Company: Join a leader in AI-driven financial technology, pushing boundaries in trading innovation.
- Benefits: Enjoy hybrid work options and the chance to work with cutting-edge technologies.
- Why this job: Shape the future of finance while collaborating with diverse teams and enhancing client workflows.
- Qualifications: 3+ years in Python, cloud providers, and software development best practices 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 - Hybrid employer: Harrington Starr
Contact Detail:
Harrington Starr Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Analyst Developer - Hybrid
✨Tip Number 1
Familiarise yourself with the latest trends in financial technology and AI. This will not only help you understand the industry better but also allow you to engage more effectively with clients during interviews.
✨Tip Number 2
Brush up on your Python skills, especially in relation to AI and cloud services. Consider working on personal projects or contributing to open-source projects that showcase your ability to develop AI prototypes.
✨Tip Number 3
Prepare to discuss your experience with Rest APIs and software development best practices. Be ready to provide examples of how you've implemented CI, testing, and deployment in your previous roles.
✨Tip Number 4
Practice explaining complex technical concepts in simple terms. Since you'll be presenting to both technical and non-technical audiences, being able to communicate clearly is crucial for this role.
We think you need these skills to ace Analyst Developer - Hybrid
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, cloud providers, and any relevant financial technology projects. Use specific examples that demonstrate your skills in building Rest APIs and working with databases.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI and finance. Mention how your background aligns with the company's mission to innovate in the trading world. Be sure to address how you can contribute to their team.
Showcase Communication Skills: Since the role involves direct client interaction, emphasise your communication skills in both your CV and cover letter. Provide examples of how you've successfully engaged with clients or presented technical solutions to non-technical audiences.
Highlight Continuous Learning: Mention any recent courses, certifications, or projects that demonstrate your commitment to staying updated with emerging technologies in AI and finance. This shows your proactive approach to professional development.
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 automation, as this is crucial for the role.
✨Understand Financial Concepts
Since the position involves working in the financial sector, brush up on key financial concepts and terminology. This will help you engage more effectively with clients and demonstrate your interest in finance.
✨Prepare for Technical Questions
Expect technical questions related to building Rest APIs and using cloud services like AWS, Azure, or GCP. Review your knowledge of frameworks such as Flask or FastAPI, and be ready to explain your approach to software development best practices.
✨Practice Communication Skills
As you'll be presenting solutions to both technical and non-technical audiences, practice explaining complex concepts in simple terms. This will showcase your excellent communication skills, which are essential for client interactions.
