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- Tasks: Lead the development of NLP and ML models for investment metrics.
- Company: Join Scientific Beta, a leader in systematic equity strategies and innovative research.
- Benefits: Enjoy a dynamic work environment with opportunities for remote work and professional growth.
- Why this job: Make a real impact by creating decision-relevant metrics that shape investment strategies.
- Qualifications: Advanced degree in Data Science or related field; experience in NLP and ML required.
- Other info: Work in Nice or London and collaborate with top experts in finance and technology.
The predicted salary is between 43200 - 72000 £ per year.
Job Description
🚀 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... 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...
✨Tip Number 1
Familiarise yourself with the latest advancements in NLP and ML, especially those relevant to finance. This will not only enhance your understanding but also allow you to engage in meaningful discussions during interviews.
✨Tip Number 2
Network with professionals in the field of quantitative finance and NLP. Attend industry conferences or webinars where you can meet potential colleagues and learn about the latest trends and challenges in the sector.
✨Tip Number 3
Prepare to demonstrate your ability to communicate complex technical concepts to non-technical audiences. Consider practising with friends or colleagues who may not have a technical background to refine your explanations.
✨Tip Number 4
Showcase any relevant projects or research you've conducted in NLP and ML, particularly those that relate to financial applications. Being able to discuss your hands-on experience will set you apart from other candidates.
We think you need these skills to ace Lead Expert - Natural Language Processing and Machine Learning for Investment Metrics (Nice/FR or...
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. Mention how your skills align with the responsibilities outlined in the job description and provide examples of your past work that demonstrate your expertise.
Showcase Relevant Projects: If you have worked on projects involving large text datasets or developed NLP models, be sure to include these in your application. Highlight any publications or contributions to research that relate to the role.
Prepare for Technical Questions: Anticipate technical questions related to NLP methodologies and machine learning techniques during the interview process. Brush up on recent academic research and be ready to discuss how you can apply these insights 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.
✨Understand the Financial Landscape
Familiarise yourself with key financial concepts and how they relate to NLP applications. Being able to discuss how your work can impact investment decisions will show that you understand the business side of the role.
✨Communicate Complex Ideas Simply
Practice explaining complex NLP methodologies in layman's terms. This is crucial since you'll need to communicate your findings to non-technical stakeholders, so clarity and simplicity are key.
✨Stay Updated on Industry Trends
Research recent advancements in NLP and ML, particularly those relevant to finance. Being knowledgeable about the latest trends will not only impress your interviewers but also show your commitment to continuous learning in this fast-evolving field.
