At a Glance
- Tasks: Train AI models for finance by reviewing and improving their understanding of complex questions.
- Company: DataAnnotation, a leader in high-quality AI development.
- Benefits: Flexible remote work, competitive pay, and bonuses for quality performance.
- Why this job: Join a cutting-edge team and shape the future of AI in finance.
- Qualifications: Expertise in finance with advanced degrees preferred; detail-oriented and fluent in English.
The predicted salary is between 100 - 100 £ per hour.
DataAnnotation is committed to creating high‑quality AI and is looking for a Valuation Analyst to train AI Assistant models for finance. The position is fully remote, flexible, and can be part‑time or full‑time.
The role involves working with advanced finance professionals (MBA+ preferred) to improve the AI’s understanding of macro trends, corporate finance, and capital markets.
Key Responsibilities- Review and improve AI Assistant answers to complex finance questions, checking reasoning and accuracy.
- Push the models with realistic scenarios and edge cases to identify strengths and weaknesses.
- Provide clear, structured feedback to make future AI versions smarter and more reliable.
- Evaluate the AI’s output for correctness and performance, and give diverse problem sets to chatbots.
- Full‑time or part‑time remote position with choice of projects.
- Flexible work schedule.
- Hourly pay starting at USD $50–$60, with bonuses for high‑quality and high‑volume work.
- Fluency in English (native or bilingual).
- Expert‑level financial reasoning and formal training in a finance‑related discipline; Master’s or PhD preferred.
- Proficiency in financial analysis, financial modeling, data analysis and reasoning exercises related to finance management.
- Detail‑oriented.
Valuation Analyst in London employer: DataAnnotation
DataAnnotation is an exceptional employer that values flexibility and innovation, offering a fully remote Valuation Analyst position that allows you to work on meaningful projects at your own pace. With competitive hourly pay and opportunities for bonuses, the company fosters a collaborative work culture where advanced finance professionals can thrive and contribute to cutting-edge AI development. Join us to enhance your skills in a supportive environment that prioritises employee growth and the pursuit of excellence in finance.
StudySmarter Expert Advice🤫
We think this is how you could land Valuation Analyst in London
✨Tap into Campus Networks
If you're still in uni, don’t forget to engage with your campus's career services and attend finance-related events. Banks often do presentations and recruitment drives on campus, so put yourself out there and make use of these opportunities to show off your passion for the field.
✨Get Certified
Consider pursuing relevant certifications like the CFA or ACCA while you’re job hunting. They not only beef up your CV but also connect you with professional bodies which can lead to networking opportunities and even job openings in banking and financial services.
✨Connect on Professional Platforms
Join finance-focused groups on platforms like LinkedIn and engage in discussions. This can really help you stand out from the crowd, allowing potential employers to see your knowledge and interest in industry trends. Plus, you might stumble upon job postings shared exclusively within the group.
✨Apply Directly and Be Proactive
Don’t shy away from reaching out directly to firms like DataAnnotation. Use their websites and apply through them, but also consider following up with a polite email to express your enthusiasm. Being proactive can make a huge difference in getting noticed in the competitive financial services sector.
We think you need these skills to ace Valuation Analyst in London
Some tips for your application 🫡
Show Off Your Numbers!:In the banking and financial services world, quantifiable achievements are key. Make sure your CV highlights your grades in relevant subjects, any financial certifications you hold, and specific projects where you've delivered measurable results. Employers love to see how your skills translate into real-world success.
Tailor Your Cover Letter to the Role:When applying for a full-time position, your cover letter should make a direct connection between your experience and the job description. Don't just state your enthusiasm for finance—dive into how your background in banking or financial analysis sets you apart. Let your passion shine through while being specific about what you can bring to DataAnnotation.
Include Relevant Financial Software Experience:If you've worked with financial modelling tools or software like Excel, SAP, or specific analytical tools during your studies or internships, bring that up! Highlighting your proficiency can really make your application pop and show you're ready to hit the ground running in a full-time role.
Research and Reflect:Before hitting that 'apply' button on DataAnnotation's website, do a little digging. Look up their recent projects, values, and culture. Reflecting their ethos in your application can make a huge difference and show you’re genuinely interested in being part of the team!
How to prepare for a job interview at DataAnnotation
✨Brush Up on Financial Analysis Skills
Make sure you're well-versed in financial concepts and analytical techniques relevant to banking and financial services. Get comfortable with tools like Excel for modelling or financial forecasting, as technical questions in this area are common during interviews with DataAnnotation.
✨Prepare for Case Studies
Expect to tackle case studies that demonstrate your problem-solving skills in real-world banking scenarios. Familiarise yourself with the types of problems you might face—think risk assessments or investment evaluations—and be ready to articulate your thought process clearly.
✨Show Your Passion for Finance
Since this is a full-time position, employers at DataAnnotation will be keen to see your genuine interest in finance. Be prepared to discuss recent industry trends or news articles that excite you, showcasing your enthusiasm and engagement with the field.
✨Network with Industry Professionals
Before your interview, reach out to current or former DataAnnotation employees on platforms like LinkedIn. They'll offer unique insights into the company's culture and the interview process, which can give us a delightful edge in showcasing a good fit for the team.
