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For Companies At a Glance
- Tasks: Engage with clients to develop AI prototypes that enhance financial workflows.
- Company: Join a leader in AI-driven quantitative backtesting software, shaping the future of finance.
- Benefits: Enjoy a dynamic work environment with opportunities for innovation and collaboration.
- Why this job: Be part of a cutting-edge team pushing boundaries in financial technology and AI.
- Qualifications: 3+ years experience in Python, cloud services, and software development best practices required.
- Other info: Contact Ciara Clarke for a confidential discussion about this exciting opportunity.
The predicted salary is between 48000 - 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 (Contract) employer: Harrington Starr
Contact Detail:
Harrington Starr Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Analyst Developer (Contract)
✨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. Consider working on personal projects or contributing to open-source projects that involve building Rest APIs using Flask or FastAPI to showcase your practical experience.
✨Tip Number 3
Practice presenting technical concepts to non-technical audiences. This will be crucial in your role, so try explaining complex ideas to friends or family who aren’t in tech to refine your communication skills.
✨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 can provide insights into the industry and potentially lead to referrals for job opportunities.
We think you need these skills to ace Analyst Developer (Contract)
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. Mention how your background aligns with the responsibilities of engaging with clients and developing AI prototypes. Be sure to showcase your communication skills.
Showcase Relevant Projects: If you have worked on projects involving AI, Python, or financial technology, include them in your application. Describe your role, the technologies used, and the impact of the project to demonstrate your hands-on experience.
Prepare for Technical Questions: Anticipate technical questions related to Python, cloud services, and software development practices. Brush up on your knowledge of databases like Postgres and Redis, as well as your understanding of the Linux ecosystem, to impress during interviews.
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 applications.
✨Understand Financial Concepts
Since the role 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 prototypes to both technical and non-technical audiences, practice explaining complex ideas in simple terms. This will showcase your excellent communication skills and ability to engage with diverse stakeholders.
