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- Tasks: Lead research in Statistical Finance and teach in a collaborative university environment.
- Company: Prestigious university known for its innovative research programs.
- Benefits: Attractive 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 required with a strong background in data science and machine learning.
- Other info: Permanent position with applications open until 9th February 2026.
The predicted salary is between 58265 - 77645 £ per year.
A prestigious university is seeking two Associate Professors of Statistical Quantitative Finance / Financial Econometrics to lead research programs and contribute to teaching in a collaborative environment.
The permanent position requires a doctorate and a strong research record in data science and machine learning.
The salary ranges from £58,265 to £77,645 per annum with additional benefits.
Applications are accepted until 9th February 2026.
Associate Professor of Statistical Finance & ML — Research Leader in Oxford employer: Economicsnetwork
Contact Detail:
Economicsnetwork Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Associate Professor of Statistical Finance & ML — Research Leader in Oxford
✨Tip Number 1
Network like a pro! Reach out to colleagues, former professors, or industry contacts who might have insights into the hiring process at the university. A friendly chat can sometimes lead to valuable recommendations.
✨Tip Number 2
Showcase your research! Prepare a concise presentation of your work in data science and machine learning. This will not only highlight your expertise but also demonstrate your passion for the field during interviews.
✨Tip Number 3
Practice makes perfect! Conduct mock interviews with friends or colleagues to refine your responses. Focus on articulating how your research aligns with the university's goals and how you can contribute to their collaborative environment.
✨Tip Number 4
Apply through our website! We encourage you to submit your application directly on our platform. It’s user-friendly and ensures your application gets the attention it deserves. Plus, we’re here to support you every step of the way!
We think you need these skills to ace Associate Professor of Statistical Finance & ML — Research Leader in Oxford
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your research achievements in statistical finance and machine learning. We want to see how your experience aligns with the role, so don’t hold back on showcasing your best work!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about this position and how you can contribute to our collaborative environment. Let us know what makes you tick!
Showcase Your Research Impact: When detailing your research, focus on its impact and relevance to the field. We’re looking for leaders who can drive innovation, so highlight any significant contributions or projects that demonstrate your expertise.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the easiest way for us to keep track of your application and ensures you don’t miss out on any important updates.
How to prepare for a job interview at Economicsnetwork
✨Showcase Your Research Passion
Make sure to highlight your research achievements and how they align with the university's goals. Prepare to discuss specific projects you've led in data science and machine learning, and be ready to explain their impact on the field.
✨Engage in Collaborative Discussions
Since the role emphasises collaboration, think about examples where you've successfully worked in a team. Be prepared to discuss how you can contribute to a collaborative environment and support your colleagues in their research.
✨Prepare for Teaching Scenarios
As teaching is a key part of the role, consider how you would approach teaching complex topics in statistical finance. Prepare a brief outline of a potential lecture or workshop that showcases your teaching style and ability to engage students.
✨Know the University’s Research Focus
Research the university's current projects and faculty interests. This will help you tailor your responses and demonstrate how your expertise in statistical quantitative finance and financial econometrics fits into their existing framework.
