At a Glance
- Tasks: Transform business needs into AI solutions and enhance workflows with innovative technology.
- Company: Join a leading hedge fund at the forefront of financial technology.
- Benefits: Competitive salary and an initial 6-month contract in a dynamic environment.
- Other info: Opportunity to work in a fast-paced, evolving environment with career growth potential.
- Why this job: Be a key player in shaping AI-driven solutions that make a real impact.
- Qualifications: 3-4 years' experience in technical analysis or automation, ideally in financial services.
The predicted salary is between 70000 - 90000 £ per year.
Descriptionace are partnering with a leading hedge fund to appoint a Technical BA / AI Field Engineer within a strategic technology function. This role will work closely with teams across operations and compliance, translating business requirements into scalable, real-world AI solutions and helping design and deploy them into day-to-day workflows. The successful individual will play a key part in bridging business need and technical delivery, gathering and documenting requirements while also contributing to the design of AI-driven solutions. This is an initial contract engagement within a forward-looking, data-driven environment.
Responsibilities
- Work alongside operations and compliance teams to gather, document, and translate business requirements into clear technical specifications.
- Identify, assess, and prioritise opportunities for AI-driven automation across existing workflows.
- Support the design and deployment of AI solutions, working closely with technical teams to ensure practical, measurable impact.
- Act as a bridge between functional and technical stakeholders, ensuring requirements are accurately understood and delivered against.
- Partner with stakeholders to test, refine, and roll out new tools, supporting adoption through training and ongoing engagement.
- Stay close to emerging AI developments relevant to financial services, feeding insights back into workflow design and prioritisation.
Requirements
- 3-4 years' experience post education, ideally within a technical business analysis, automation, or process improvement function.
- Academic background in Data Science, Computer Science, Engineering, or a related discipline.
- Experience within financial services, with exposure to automation, workflow redesign, or process improvement highly desirable.
- Strong requirements gathering and documentation skills, with the ability to translate business needs into technical solutions.
- Experience designing and deploying AI solutions in financial services environments.
- Confidence articulating AI risk and governance best practice.
- Comfortable operating across both technical and non-technical stakeholder groups.
- Self-starting and comfortable working in a fast-paced, evolving environment.
Benefits
- Length: Initial 6-month contract.
- Competitive salary.
Technical Business Analyst / AI Field Engineer in London employer: G MASS
At Descriptionace, we pride ourselves on being an exceptional employer, offering a dynamic and innovative work environment in the heart of London. Our culture fosters collaboration and growth, providing employees with ample opportunities to develop their skills in cutting-edge AI technologies while working alongside industry leaders in financial services. With a focus on meaningful projects and a commitment to employee well-being, we ensure that our team members are not only challenged but also supported in their professional journeys.
StudySmarter Expert Advice🤫
We think this is how you could land Technical Business Analyst / AI Field Engineer in London
✨Tap into Online Data Science Communities
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We think you need these skills to ace Technical Business Analyst / AI Field Engineer in London
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at G MASS, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to G MASS, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab G MASS’s attention and show the tangible impact of your work.
How to prepare for a job interview at G MASS
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at G MASS.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at G MASS.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at G MASS.
