At a Glance
- Tasks: Design AI workflows and apply advanced analytics to transform finance processes.
- Company: Leading asset management firm focused on innovation and collaboration.
- Benefits: Competitive salary, diverse workplace, and opportunities for continuous learning.
- Other info: Embrace a culture of diversity and inclusion while advancing your career.
- Why this job: Join a dynamic team and make a real impact in the finance sector with cutting-edge technology.
- Qualifications: Experience in NLP, ML, and strong analytical skills required.
The predicted salary is between 80000 - 100000 £ per year.
The candidate must excel in working in a highly collaborative environment together with the business stakeholders, technologists, and control partners to deploy solutions into production. A strong passion for machine learning is essential, along with a commitment to continuous learning, research, and experimentation with new innovations in the field. Candidates should possess a solid understanding of modern NLP and/or financial knowledge, hands‑on implementation experience, strong analytical thinking, and a keen interest in applying advanced analytics to solve complex problems in finance and asset management.
Job Responsibilities
- Design and implement agentic AI workflows that automate and streamline complex business processes.
- Design and apply advanced techniques such as semantic search, retrieval‑augmented generation (RAG), named entity recognition (NER), prompt engineering, and personalization for content extraction, search, question answering, reasoning, and recommendation.
- Develop LLM, NLP, and ML solutions that address client requirements and drive business transformation.
- Work closely with partner teams—including Business, Technology, Product Management, Strategy, and Business Management—to deploy and scale developed models in production environments.
- Build comprehensive testing setups to evaluate model performance and ensure efficacy and reliability.
- Communicate results effectively to business stakeholders through written reports, visualizations, and presentations.
- Stay current with the latest research in LLM, agentic AI, ML, and data science, and proactively identify and leverage emerging techniques to drive ongoing enhancement.
Qualifications, Capabilities, and Skills
- Proven experience applying NLP, LLM, and ML techniques to solve high‑impact business problems.
- Demonstrated intellectual curiosity and a passion for staying current with the latest advancements in AI, LLMs, agentic AI frameworks, and data science.
- Proficiency in programming languages such as Python and familiarity with machine learning libraries and frameworks.
- Excellent communication skills and ability to work collaboratively in a fast‑paced, dynamic environment.
- Prior experience in financial services or asset management is desirable, along with a strong interest in applying AI to the financial domain.
EEO Statement
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants and employees religious practices and beliefs, as well as mental health or physical disability needs.
Asset Management, Data Scientist, Vice President, London/Glasgow employer: 慨正橡扯
As a leading player in the asset management sector, our company offers an exceptional work environment that fosters collaboration and innovation. Located in vibrant London or Glasgow, we provide our employees with ample opportunities for professional growth, a commitment to diversity and inclusion, and access to cutting-edge technology in machine learning and AI. Join us to be part of a dynamic team where your contributions will directly impact business transformation and client success.
StudySmarter Expert Advice🤫
We think this is how you could land Asset Management, Data Scientist, Vice President, London/Glasgow
✨Network Like a Pro
Get out there and connect with folks in the industry! Attend meetups, webinars, or even just grab a coffee with someone who’s already in asset management. Building relationships can open doors that a CV just can’t.
✨Show Off Your Skills
Don’t just talk about your experience—show it! Create a portfolio of projects that highlight your machine learning and NLP skills. Whether it’s a GitHub repo or a personal website, let your work speak for itself.
✨Ace the Interview
Prepare for those interviews by brushing up on common questions related to AI and finance. Practice explaining complex concepts in simple terms, as you’ll need to communicate effectively with stakeholders from various backgrounds.
✨Apply Through Us!
We’ve got some fantastic opportunities waiting for you on our website. Don’t hesitate to apply directly through us—it's the best way to get noticed and show your enthusiasm for joining our team!
We think you need these skills to ace Asset Management, Data Scientist, Vice President, London/Glasgow
Some tips for your application 🫡
Show Your Passion for Machine Learning:Make sure to highlight your enthusiasm for machine learning in your application. We love candidates who are eager to learn and experiment with new innovations, so share any relevant projects or experiences that showcase your commitment to this field.
Tailor Your Application:Don’t just send a generic application! Take the time to tailor your CV and cover letter to reflect the specific skills and experiences mentioned in the job description. We want to see how your background aligns with our needs, especially in NLP and financial knowledge.
Communicate Clearly:Since communication is key in our collaborative environment, ensure your written application is clear and concise. Use straightforward language to explain your experiences and how they relate to the role, as we value effective communication with stakeholders.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re proactive and keen to join our team!
How to prepare for a job interview at 慨正橡扯
✨Know Your Tech Inside Out
Make sure you’re well-versed in the latest NLP, LLM, and ML techniques. Brush up on your programming skills, especially in Python, and be ready to discuss how you've applied these technologies in real-world scenarios.
✨Show Your Collaborative Spirit
Since the role requires working closely with various teams, prepare examples that showcase your ability to collaborate effectively. Think of times when you’ve partnered with stakeholders or technologists to deliver successful projects.
✨Stay Ahead of the Curve
Demonstrate your passion for continuous learning by discussing recent advancements in AI and data science. Bring up any new techniques or research you've explored and how they could apply to the financial sector.
✨Communicate Like a Pro
Practice explaining complex concepts in simple terms. You’ll need to present your findings to business stakeholders, so being able to convey your ideas clearly through reports and visualisations is key.
