At a Glance
- Tasks: Build AI tools that enhance research workflows and decision-making in finance.
- Company: Leading financial institution investing heavily in AI innovation.
- Benefits: Competitive salary, annual bonus, hybrid work model, and growth opportunities.
- Other info: Join an established team with potential for career advancement.
- Why this job: Combine your passion for AI with finance to create impactful solutions.
- Qualifications: Experience in finance, AI applications, and strong communication skills required.
The predicted salary is between 65250 - 79750 £ per year.
Job Type: Full-Time
Level: VP / Senior
Contract type: Direct employment with our client
Location: Hybrid - London (2 days per week in the office)
Salary range: Up to £165,000 base salary + 20-30% annual bonus
Our client is a leading financial institution investing heavily in AI across its research organisation. They are looking for a Senior Forward Deployed AI Engineer to work closely with front-office research teams, understand how they work and identify where AI can genuinely improve their day-to-day workflows. This isn't a traditional AI engineering or pure platform role. You'll sit between research users and the AI engineering team, helping turn real business problems into production AI solutions. The team already has AI tools in production, including conversational AI and agent-based workflows, so you'll be joining an established team and helping expand what they're already building.
What we are looking for:
- Strong understanding of financial markets and front-office workflows
- Experience working closely with research, trading or quantitative teams
- Hands-on experience building production AI / LLM applications
- Experience with LLM workflows, AI agents, model deployment or research tooling
- Ability to translate business problems into practical technical solutions
- Strong communication skills and confidence working with senior stakeholders
Ideal background:
- Experience within an investment bank, hedge fund, asset manager or similar financial environment
- Background in quant research, strats, quant development or front-office engineering
- Strong Python skills, ideally with some Java or C++ experience
- Experience taking AI applications from prototype into production
- Exposure to AWS or other cloud environments
What you'll be doing:
- Working directly with analysts and research teams to identify useful AI use cases
- Building AI tools that improve research workflows and decision-making
- Developing conversational AI, research assistants and agent-based workflows
- Building solutions around trade ideas, recommendations, research automation and data discovery
- Working with AI platform and engineering teams to take ideas into production
- Helping drive the adoption of AI across the research organisation
Beyond the technical skills:
- Strong understanding of how technology can solve real front-office problems
- Confident working directly with senior research and business stakeholders
- Curious and proactive in identifying where AI can add value
- Hands-on and pragmatic approach to engineering
- Comfortable working between technical teams and business users
- Able to take ownership from the initial idea through to production
Why this role?
This is a great opportunity to combine financial markets, hands-on engineering and AI. You’ll work directly with research teams, building AI solutions that solve real problems and are actually used in production. The team already has several AI applications live, so you’ll be joining an established function with plenty of room to grow, take ownership and potentially move into an Applied AI Lead role over time.
Forward Deployed Engineer - AI employer: Concentric Recruitment
Our client is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the heart of London. With a strong focus on employee growth, they provide opportunities to work on cutting-edge AI solutions that directly impact the financial sector, alongside competitive salaries and generous bonuses. The hybrid working model allows for flexibility while being part of a high-performing team dedicated to transforming trading and quantitative research through advanced technology.
StudySmarter Expert Advice🤫
We think this is how you could land Forward Deployed Engineer - AI
✨Get Involved in Data Science Meetups
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Concentric Recruitment.
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We think you need these skills to ace Forward Deployed Engineer - AI
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Concentric Recruitment, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Concentric Recruitment. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Concentric Recruitment
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Concentric Recruitment!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
