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- Tasks: Create and review technical tasks for evaluating AI in finance.
- Company: Leading firm in quantitative finance with a focus on innovation.
- Benefits: Competitive hourly rate, flexible hours, and opportunities for professional growth.
- Other info: Dynamic role with a chance to work on impactful financial projects.
- Why this job: Join a cutting-edge team and shape the future of finance with AI.
- Qualifications: PhD or MS in relevant fields, or BA/BS with extensive experience.
Role Responsibilities
- Author, review, and annotate technical tasks used to evaluate AI model performance on quantitative finance problems.
- Tasks involve producing original problem sets grounded in payoff diagrams, risk charts, return distributions, and time-series plots; writing reference solutions; and applying structured quality checks.
Good Candidature
- PhD in Finance, Financial Economics, or Mathematical Finance, or MS in Quantitative Finance or Financial Engineering with 3+ years buy-side, sell-side, or research experience, or BA/BS in Finance, Math, or Econ with 5+ years applied quantitative finance, trading, or risk experience.
- Working fluency in at least two of: asset pricing, derivatives, stochastic calculus, risk management, portfolio theory.
- Comfortable reading and interpreting payoff diagrams, risk charts, return distributions, and time-series plots.
- Clear technical writing; able to articulate reasoning step-by-step in written form.
Quantitative Finance Expert employer: Great Value Hiring
Contact Detail:
Great Value Hiring Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Finance Expert
✨Tip Number 1
Network like a pro! Reach out to professionals in the quantitative finance field on LinkedIn or at industry events. We can’t stress enough how valuable personal connections can be in landing that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your work with AI models, risk management, and technical writing. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss payoff diagrams, return distributions, and your experience with stochastic calculus. We want you to feel confident and ready to impress!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Quantitative Finance Expert
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in quantitative finance. We want to see how your skills align with the role, so don’t be shy about showcasing your PhD or any hands-on experience you have with asset pricing or derivatives.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about quantitative finance and how your background makes you a perfect fit for us. Be specific about your experience with risk management and portfolio theory.
Showcase Your Technical Writing Skills: Since clear technical writing is key for this role, include examples of your written work if possible. Whether it’s problem sets or annotated tasks, we want to see how well you can articulate complex ideas step-by-step.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Great Value Hiring
✨Know Your Numbers
Brush up on your quantitative finance concepts, especially asset pricing and derivatives. Be ready to discuss how you've applied these in real-world scenarios, as this will show your depth of understanding and practical experience.
✨Showcase Your Technical Writing Skills
Prepare to demonstrate your ability to articulate complex ideas clearly. You might be asked to explain a technical concept or walk through a problem set, so practice explaining your thought process step-by-step.
✨Familiarise Yourself with Visual Data
Since the role involves interpreting payoff diagrams and risk charts, make sure you can confidently discuss these visuals. Bring examples from your past work where you used such tools to make decisions or solve problems.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's approach to quantitative finance and AI model performance. This shows your genuine interest in the role and helps you assess if the company aligns with your career goals.