At a Glance
- Tasks: Design and deploy deep learning models for time-series simulations in finance.
- Company: Join Synthera AI, an innovative startup in the AI space.
- Benefits: Equity options, growth opportunities, and a chance to shape the future.
- Other info: Collaborative environment with mentorship from industry experts.
- Why this job: Be at the forefront of AI in finance and make a real impact.
- Qualifications: Experience in machine learning and a passion for quantitative finance.
The predicted salary is between 63000 - 77000 £ per year.
Synthera AI is seeking an ambitious Machine Learning Researcher to join the early team.
You will design and deploy deep learning models focused on time-series simulations for public capital markets and contribute to our data pipelines and performance optimisation.
The role involves exploring new methodologies, backtesting frameworks, and collaboration with our scientific advisor.
Equity and growth opportunities accompany this pivotal early position.
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ML Researcher – Time-Series for Quant Finance (Equity) in London employer: Motive Partners
Motive Partners is an exceptional employer, offering a dynamic work culture that prioritises sustainability and innovation. Based in London, employees benefit from competitive salaries, commission structures, equity opportunities, and flexible hybrid working arrangements, all while having clear pathways for career advancement into roles such as Account Executive. Join us to be part of a forward-thinking team that values growth and meaningful contributions to the private markets sector.
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We think this is how you could land ML Researcher – Time-Series for Quant Finance (Equity) in London
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We think you need these skills to ace ML Researcher – Time-Series for Quant Finance (Equity) in London
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!
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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Motive Partners. 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 Motive Partners
✨Brush Up on Your Statistics
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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
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✨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.
