At a Glance
- Tasks: Conduct equity research and financial modelling to enhance AI model performance.
- Company: Join Turing, a forward-thinking company at the intersection of finance and AI.
- Benefits: Enjoy flexible remote work hours and gain valuable experience in a growing field.
- Other info: Work with experts and develop your career in a dynamic, innovative environment.
- Why this job: Make an impact by bridging finance and AI without needing prior AI experience.
- Qualifications: Strong analytical skills and a passion for finance are essential.
The predicted salary is between 19350 - 23650 £ per year.
Turing is seeking Research analysts to join our team and help improve AI model performance through equity research, sector analysis, and financial modeling.
No prior AI experience is required, making this a unique bridge between finance and cutting-edge AI research.
Work fully remote with flexible hours (10-30 hrs/week).
You'll evaluate models, develop investment theses, and collaborate with AI researchers and finance experts on training and benchmarking initiatives.
#J-18808-Ljbffr
Remote Equity Research Analyst: AI & Finance employer: Turing
Turing is an exceptional employer that fosters a fully remote, collaborative environment where your expertise as a Cardiologist can directly influence the future of AI in healthcare. With a commitment to employee growth and innovation, Turing offers unique opportunities to engage with cutting-edge technology while working alongside top-tier professionals in the field. Join us in shaping the next generation of medical AI, all from the comfort of your own home.
StudySmarter Expert Advice🤫
We think this is how you could land Remote Equity Research Analyst: AI & Finance
✨Get Involved in Data Challenges
Participate in data challenges like Kaggle competitions or DrivenData to showcase your skills and network with other data enthusiasts. Not only will you build your portfolio, but you can also catch the eye of potential employers like Turing.
✨Connect with Local Data Communities
Join local data science meetups or online communities like Data Science Society to engage with professionals in the field. These platforms are great for networking, discovering job opportunities, and keeping your fingers on the pulse of industry trends.
✨Leverage Your University’s Resources
If you're still in university, make full use of your career services. They might have part-time roles tailored for students like you, and often have direct connections with companies looking to hire talented interns in data science roles.
✨Apply Directly Through Our Website
Don’t forget to check out our jobs at Turing and apply through our website! It’s the best way to ensure your application gets seen. Plus, we love hearing from passionate individuals like us who are eager to make an impact in the data science world.
We think you need these skills to ace Remote Equity Research Analyst: AI & Finance
Some tips for your application 🫡
Show Your Data Skills:In your CV, make sure to highlight your proficiency with key data analysis tools and programming languages like Python, R, or SQL. We want to see that you've got hands-on experience with data manipulation and visualisation, so if you've worked on any relevant projects or coursework, include those details to really showcase your skills!
Tailor Your Projects Towards Data Science:When it comes to your portfolio, focus on showcasing projects that highlight your data-science abilities. Include analyses, dashboards, or any predictive models you've built. If you've contributed to Kaggle competitions or have a GitHub repository with data projects, make sure to link those—these demonstrate your practical experience and problem-solving abilities.
Express Your Motivation in the Cover Letter:Since this is a part-time role, we want to know why you're particularly interested in juggling this with your other commitments. Use your cover letter to express your passion for data science and how this role at Turing aligns with your career aspirations. Show us you're excited about learning and growing with us!
Keep It Concise Yet Informative:Part-time positions often receive many applications, so keep your documents clear and to the point! Aim for a concise CV detailing your relevant experiences without unnecessary fluff. Be sure to include your availability in your cover letter as well—that helps us in the decision-making process!
How to prepare for a job interview at Turing
✨Brush Up on Your Stats!
Given you're eyeing a part-time role in data science, make sure you’re on top of your statistical methods and data analysis techniques. Expect questions around regression, hypothesis testing, and maybe even some statistical programming languages like R or Python during the interview with Turing.
✨Show Off Your Projects!
It's crucial to have a portfolio that showcases your data science projects. Highlight your part-time work with specific data sets, models you've built, or analyses you've conducted. Having tangible examples will demonstrate your hands-on experience and problem-solving skills to Turing.
✨Familiarise Yourself with Tools of the Trade
Make sure you’re well-versed in data science tools like Jupyter Notebook, Tableau, or SQL. You might get technical questions or even a practical test at Turing, so having a comfort level with these tools will definitely be an advantage.
✨Be Ready to Discuss Real-World Applications
Since this is a part-time role, employers at Turing will likely appreciate your understanding of how data science can address actual business problems. Be prepared to discuss any relevant case studies or how you would approach specific challenges in real scenarios.
