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- Tasks: Develop cutting-edge Generative AI solutions for the finance sector.
- Company: Join Synechron, a global leader in digital transformation.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Why this job: Make a real impact in finance with innovative AI technology.
- Qualifications: Experience in Python and a passion for AI and finance.
- Other info: Collaborative and fast-paced environment with excellent career prospects.
The predicted salary is between 36000 - 60000 £ per year.
Synechron is a global leader in digital transformation, specialising in consulting, technology services, and business process outsourcing for the financial services industry. We leverage cutting-edge technologies to deliver innovative solutions that drive value for our clients.
We are seeking a talented AI Engineer to join our team in the UK, focusing on the development of Generative AI-driven solutions for the Finance Technology domain. The successful candidate will be instrumental in designing, developing, and deploying advanced AI solutions tailored to core financial analytical functions.
Key Responsibilities- Collaborate within a team to develop Generative AI-powered solutions that address complex financial problems.
- Demonstrate deep hands-on expertise in Python within a financial services environment to build scalable AI applications.
- Design and develop a custom generative AI chatbot capable of handling a wide range of finance-related queries, including liquidity stress testing, balance sheet, collateral management, deposits, and positions.
- Create and enhance an agentic analysis platform capable of multi-step financial analysis, data querying, variance analysis, data quality assessment, and Python/Pandas code generation and execution.
- Develop and refine testing frameworks to evaluate the performance of AI agents in financial analysis tasks.
- Optimise prompt-generation strategies to improve the accuracy and relevance of large language models in financial contexts.
- Build, deploy, and maintain the underlying infrastructure for AI solutions, ensuring scalability, performance, and security align with firm standards.
- Integrate AI solutions with existing financial systems and databases to enable real-time insights and accurate data delivery.
- Proven hands-on experience in Python development within the financial services sector.
- Strong understanding of AI, Machine Learning, and Natural Language Processing techniques.
- Experience in building chatbots or conversational AI for financial applications.
- Familiarity with financial systems, data querying, and analysis techniques.
- Ability to work collaboratively in a fast-paced, innovative environment.
Generative AI Engineer in Glasgow employer: Synechron
Contact Detail:
Synechron Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Generative AI Engineer in Glasgow
✨Tip Number 1
Network like a pro! Reach out to folks in the finance and AI sectors on LinkedIn. Join relevant groups, attend webinars, and don’t be shy about asking for informational interviews. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects, especially those related to AI and finance. This can be a game-changer during interviews, as it gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding of AI concepts. Practice common interview questions and consider mock interviews with friends or mentors to build confidence.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Tailor your application to highlight your experience with generative AI and financial services to stand out from the crowd.
We think you need these skills to ace Generative AI Engineer in Glasgow
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Generative AI Engineer. Highlight your Python experience and any projects related to AI in financial services. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and finance. Share specific examples of your work that align with our needs, and let us know why you want to join our team at Synechron.
Showcase Your Projects: If you've worked on any relevant projects, especially those involving chatbots or AI solutions, make sure to include them. We love seeing practical applications of your skills, so don’t hold back on the details!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing candidates who take the initiative!
How to prepare for a job interview at Synechron
✨Know Your Python Inside Out
Since the role requires deep expertise in Python, make sure you brush up on your coding skills. Be prepared to discuss specific projects where you've used Python in a financial context, and maybe even solve a coding challenge during the interview.
✨Showcase Your AI Knowledge
Familiarise yourself with the latest trends in AI, Machine Learning, and Natural Language Processing. Be ready to explain how these technologies can be applied to solve financial problems, and share any relevant experiences you've had in developing AI solutions.
✨Prepare for Technical Questions
Expect technical questions related to generative AI and chatbot development. Brush up on your understanding of prompt-generation strategies and testing frameworks, as well as how to integrate AI solutions with financial systems. Practice explaining complex concepts in simple terms.
✨Demonstrate Team Collaboration Skills
Synechron values teamwork, so be prepared to discuss how you've collaborated with others in past projects. Share examples of how you contributed to a team environment, especially in fast-paced settings, and highlight your ability to communicate effectively with both technical and non-technical stakeholders.
