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- Tasks: Lead research in Statistical Quantitative Finance and teach in a collaborative environment.
- Company: Prestigious university with a focus on innovation and research excellence.
- Benefits: Competitive salary, additional benefits, and a supportive academic community.
- Why this job: Shape the future of finance with cutting-edge research and inspire the next generation.
- Qualifications: Doctorate and strong research record in data science and machine learning required.
- Other info: Permanent position with opportunities for career advancement.
The predicted salary is between 58265 - 77645 £ per year.
A prestigious university seeks two Associate Professors (or Professors) of Statistical Quantitative Finance/Financial Econometrics. The successful candidates will lead research programs and contribute to teaching within a collaborative environment. This permanent position requires a doctorate and a strong research record in data science and machine learning. The salary range is £58,265 to £77,645 per annum, with additional benefits. Interested candidates can apply by submitting a comprehensive CV and statement by 9th February 2026.
Associate Professor of Statistical Quantitative Finance & ML in Oxford employer: Economicsnetwork
Contact Detail:
Economicsnetwork Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Associate Professor of Statistical Quantitative Finance & ML in Oxford
✨Tip Number 1
Network like a pro! Reach out to colleagues, attend conferences, and engage with professionals in your field. Building connections can open doors to opportunities that aren’t advertised.
✨Tip Number 2
Showcase your research! Prepare a portfolio or presentation that highlights your best work in data science and machine learning. This will help you stand out during interviews and discussions.
✨Tip Number 3
Practice your interview skills! Mock interviews can help you articulate your thoughts clearly and confidently. Focus on how your experience aligns with the university's goals and values.
✨Tip Number 4
Don’t forget to apply through our website! We make it easy for you to submit your application and keep track of your progress. Plus, it shows you’re serious about joining our team!
We think you need these skills to ace Associate Professor of Statistical Quantitative Finance & ML in Oxford
Some tips for your application 🫡
Craft a Compelling CV: Your CV is your first impression, so make it count! Highlight your research achievements, teaching experience, and any relevant projects in data science and machine learning. Tailor it to showcase how you fit the role of Associate Professor.
Write a Strong Statement: This is your chance to shine! In your statement, discuss your research interests, teaching philosophy, and how you plan to contribute to our collaborative environment. Be clear and concise, and don’t forget to show your passion for the field!
Follow the Application Guidelines: Make sure you stick to the application requirements outlined in the job description. Submit your CV and statement by the deadline (9th February 2026) and ensure everything is formatted correctly. We love a well-organised application!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It’s easy, and you’ll be able to track your application status. Plus, we’re excited to see what you bring to the table!
How to prepare for a job interview at Economicsnetwork
✨Know Your Research Inside Out
Make sure you can discuss your research in detail, especially how it relates to statistical quantitative finance and machine learning. Be prepared to explain your methodologies and findings clearly, as this will showcase your expertise and passion for the field.
✨Engage with Teaching Philosophy
Since teaching is a key part of the role, think about your teaching philosophy and how you would approach educating students in complex topics. Prepare examples of how you've successfully taught or mentored others, and be ready to discuss innovative teaching methods you might employ.
✨Collaborative Spirit is Key
This position emphasises collaboration, so be ready to talk about your experiences working in teams. Highlight any interdisciplinary projects you've been involved in and how you foster a collaborative environment, as this will resonate well with the university's values.
✨Prepare Thoughtful Questions
At the end of the interview, you'll likely have the chance to ask questions. Prepare insightful queries about the university's research initiatives, funding opportunities, or departmental culture. This shows your genuine interest in the position and helps you assess if it's the right fit for you.
