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- Tasks: Lead the development of NLP and ML models for investment metrics.
- Company: Join Scientific Beta, a top provider of innovative equity strategies.
- Benefits: Work in vibrant locations like Nice or London with a dynamic team.
- Why this job: Make a real impact by merging finance with cutting-edge technology.
- Qualifications: Advanced degree in Data Science or related field; strong NLP/ML experience required.
- Other info: Opportunity to publish research and collaborate with finance experts.
The predicted salary is between 72000 - 108000 £ per year.
🚀 We\’re Hiring: Lead Expert – NLP & Machine Learning for Investment Metrics
📍 Location: Nice (France) or London (UK)
🏢 Company: Scientific Beta
🔬 About Us
A subsidiary of SGX Group, Scientific Beta is a leading provider of enhanced systematic equity strategies grounded in rigorous research. Its evidence-based indices integrating sustainability and financial goals enable global investors to make well-informed portfolio decisions as they navigate complex and evolving markets. Scientific Beta’s research team is recognised for its commitment to robust empirical research and plays a key role in developing new index methodologies.
🧠 About the Role
Scientific Beta is seeking a highly experienced and innovative Lead Expert in Natural Language Processing (NLP) and Machine Learning (ML) to spearhead the development of next-generation sustainability and financial metrics. This is a unique opportunity to leverage cutting-edge language models and insights at the intersection of empirical finance and natural language processing to create decision-relevant metrics that address critical investor needs and enhance our index and data offerings. In partnership with Scientific Beta’s established team in quantitative finance research and its product design teams, you will be instrumental in driving the research, development, validation and product implementation of novel metrics by extracting valuable information from textual data.
📌 Key Responsibilities
- Lead the conceptualization, design, and implementation of NLP and ML models for extracting insights related to sustainability and financial performance from diverse textual sources.
- Develop and apply state-of-the-art language models to extract relevant information and integrate academic insights on the validity of measures.
- Collaborate with Scientific Beta’s domain experts in investment science to ensure the developed metrics are relevant to investment decisions and aligned with economic principles.
- Communicate complex NLP methodologies to non-technical audiences and contribute to Scientific Beta’s research publications (white papers, articles in peer-reviewed journals).
- Keeping up to date with recent academic research on state-of-the-art NLP models and their applications to investment decisions.
🎓 Your Profile
• Extensive experience in applying Natural Language Processing and Machine Learning techniques to real-world problems.
• Deep understanding of state-of-the-art NLP models and architectures.
• Strong background in statistical analysis and machine learning methodologies.
• Proven ability to translate business requirements into technical solutions and deliver impactful results.
• An interest in learning about financial and investment concepts and in applying statistical analysis to financial data.
• Excellent communication and collaboration skills.
• Experience working with large text datasets in financial applications would be an advantage.
• Advanced degree (MSc. or Ph.D.) in Data Science, Computer Science, Computational Linguistics or a related quantitative field with a focus on NLP/ML techniques.
Lead Expert - Natural Language Processing and Machine Learning for Investment Metrics (Nice/FR or London/UK) employer: Scientific Beta
Contact Detail:
Scientific Beta Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Expert - Natural Language Processing and Machine Learning for Investment Metrics (Nice/FR or London/UK)
✨Tip Number 1
Familiarise yourself with the latest advancements in NLP and ML, especially those relevant to finance. This will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Network with professionals in the finance and tech sectors, particularly those who specialise in NLP and ML. Attend industry conferences or webinars to make connections that could lead to referrals or insights about the role.
✨Tip Number 3
Prepare to discuss your previous projects involving NLP and ML, focusing on how they relate to financial metrics. Be ready to explain your thought process and the impact of your work on investment decisions.
✨Tip Number 4
Stay updated on current trends in sustainable finance and how NLP can enhance decision-making in this area. Demonstrating your knowledge of these trends can set you apart as a candidate who understands the broader context of the role.
We think you need these skills to ace Lead Expert - Natural Language Processing and Machine Learning for Investment Metrics (Nice/FR or London/UK)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your extensive experience in Natural Language Processing and Machine Learning. Focus on specific projects or roles where you've applied these techniques, especially in financial contexts.
Craft a Compelling Cover Letter: In your cover letter, express your passion for the intersection of NLP, ML, and finance. Discuss how your background aligns with Scientific Beta's mission and how you can contribute to their innovative projects.
Showcase Relevant Projects: Include examples of past projects that demonstrate your ability to develop and implement NLP and ML models. Highlight any experience with large text datasets and how your work has led to impactful results.
Prepare for Technical Questions: Anticipate technical questions related to NLP methodologies and machine learning techniques. Be ready to discuss your understanding of state-of-the-art models and how they can be applied to investment metrics.
How to prepare for a job interview at Scientific Beta
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with NLP and ML techniques in detail. Highlight specific projects where you've applied these technologies, especially in financial contexts, as this will demonstrate your capability to handle the role's responsibilities.
✨Communicate Complex Ideas Simply
Since you'll need to explain complex methodologies to non-technical audiences, practice articulating your work in a clear and concise manner. Use analogies or simple examples to make your points relatable and understandable.
✨Stay Updated on Industry Trends
Research recent advancements in NLP and ML, particularly those relevant to finance and investment metrics. Being able to discuss current trends and how they can be applied to Scientific Beta’s goals will show your enthusiasm and commitment to the field.
✨Prepare for Collaborative Scenarios
Expect questions about teamwork and collaboration, as you’ll be working closely with domain experts. Think of examples from your past experiences where you successfully collaborated on projects, particularly those that required cross-disciplinary communication.
