At a Glance
- Tasks: Help train AI by reviewing and improving financial models and outputs.
- Company: DataAnnotation, a leader in high-quality AI development.
- Benefits: Flexible remote work, choose your projects, and earn $50-$60 per hour.
- Other info: Ideal for finance professionals with advanced degrees; independent contract position.
- Why this job: Make a real impact on AI while enjoying a flexible schedule.
- Qualifications: Fluency in English and proficiency in financial analysis required.
The predicted salary is between 40000 - 48000 £ per year.
DataAnnotation is committed to creating high-quality AI. We are looking for a Structured Products Analyst to join our team to help train the next generation of AI while enjoying the flexibility of remote work and the freedom to set your own schedule. This role is designed to fit a variety of lifestyles – whether you’re looking to contribute part-time alongside a current position, pursue it full-time, or engage periodically as a flexible professional opportunity.
We’re currently expanding into an exciting new area – teaching AI Assistant models to be a more useful tool for finance professionals. We're seeking experienced finance professionals with advanced degrees (MBA+) and professional experience to use their expertise to help shape how AI understands financial principles and decision‑making.
You Might:
- Review and improve AI Assistant answers to questions about macro trends, corporate finance, and capital markets
- Leverage your education and work experience to check the reasoning and accuracy of an AI Assistant’s work
- Push the models with complex, real‑world scenarios and edge cases to see where their reasoning holds up – and where it doesn’t
- Share clear, structured feedback to help make each new version of the AI smarter and more reliable
Benefits:
- This is a full‑time or part‑time remote position
- You’ll be able to choose which projects you want to work on
- You can work on your own schedule
- Projects are paid hourly starting at USD $50‑$60 per hour, with bonuses on high‑volume work
Responsibilities:
- Give AI chatbots diverse and complex problems and evaluate their outputs
- Evaluate the quality produced by AI models for correctness and performance
Qualifications:
- Fluency in English (native or bilingual level)
- Detail‑oriented
- Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises related to finance management
- A current, in progress, or completed Master’s and/or PhD is preferred but not required
Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. Only applicants in the United Kingdom will be considered for this role. This is an independent contract position.
Structured Products Analyst employer: DataAnnotation
DataAnnotation is an exceptional employer that values flexibility and work-life balance, offering remote positions that allow you to set your own schedule. With competitive hourly rates and the opportunity to engage in meaningful projects that shape the future of AI in finance, employees can enjoy a supportive work culture that fosters professional growth and innovation.
StudySmarter Expert Advice🤫
We think this is how you could land Structured Products Analyst
✨Tip Number 1
Network like a pro! Reach out to your connections in the finance world and let them know you're on the lookout for opportunities. You never know who might have a lead or can put in a good word for you.
✨Tip Number 2
Get your online presence sorted! Make sure your LinkedIn profile is up-to-date and showcases your skills in financial analysis and modelling. Join relevant groups and engage with posts to get noticed by potential employers.
✨Tip Number 3
Practice makes perfect! Brush up on your interview skills by doing mock interviews with friends or using online resources. Focus on articulating your experience in finance and how it relates to AI – that’s what will set you apart!
✨Tip Number 4
Apply through our website! We’ve got some fantastic roles waiting for you, and applying directly gives you a better chance of standing out. Plus, you’ll be part of a team that’s shaping the future of AI in finance!
We think you need these skills to ace Structured Products Analyst
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Structured Products Analyst role. Highlight your financial analysis and modelling expertise, as well as any relevant projects you've worked on.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about AI in finance and how your background makes you a perfect fit for this role. Keep it concise but impactful!
Showcase Your Attention to Detail:Since this role requires a detail-oriented mindset, make sure your application is free from typos and errors. A polished application shows us you care about quality and precision.
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 DataAnnotation
✨Know Your Financial Stuff
Brush up on your financial analysis and modelling skills. Be ready to discuss macro trends, corporate finance, and capital markets in detail. The interviewers will want to see that you can leverage your expertise to evaluate AI outputs effectively.
✨Showcase Your Problem-Solving Skills
Prepare to tackle complex, real-world scenarios during the interview. Think of examples from your past experience where you had to push boundaries or solve tricky problems. This will demonstrate your ability to challenge AI models and provide structured feedback.
✨Communicate Clearly
Since you'll be sharing feedback with the team, practice articulating your thoughts clearly and concisely. Use specific examples to illustrate your points, and don’t shy away from discussing how you would improve AI responses based on your evaluations.
✨Flexibility is Key
Emphasise your adaptability and willingness to work on various projects. Whether you're looking for part-time or full-time work, show that you can manage your schedule effectively while contributing meaningfully to the team’s goals.
