At a Glance
- Tasks: Support AI annotation by labelling financial data for training AI models.
- Company: Join a leading organisation in finance and technology, shaping the future of financial news.
- Benefits: Receive world-class training and potential for permanent roles; flexible work environment.
- Other info: Temporary contract until Dec 2025 with immediate start; equal opportunities employer.
- Why this job: Kickstart your career in a dynamic team while making an impact in AI and finance.
- Qualifications: Bachelor's or Master's in Finance/Accounting; auditing experience preferred; strong analytical skills required.
The predicted salary is between 28800 - 48000 £ per year.
Job Description
Finance Graduate - AI Data Annotation Analyst
Our client, a leading organization in finance, technology and financial news sector, is looking for dedicated and detail-oriented individuals to join their dynamic team. This is a temporary contract until end of Dec 2025 with an immediate start date and would suit a candidate with a strong analytical mind and demonstratable interest in financial markets.
This is an excellent opportunity for finance graduates with a strong understanding of financial markets and accounting, particularly those with an auditing background, to begin their career within a leading organisation in the technology and finance industry. Successful applicants will receive world-class training, work in a complex and exciting environment and will have the opportunity to apply for permanent roles within the business.
The primary focus of this role is to support AI annotation efforts across multiple projects by labelling financial data to train and enhance AI models.
The successful candidate will have a strong understanding of financial markets and accounting, excellent analytical skills, and a meticulous approach to data handling.
Responsibilities:
- Support AI annotation work across multiple projects.
- Label and annotate data to train and improve AI models for various projects
- Ensure high accuracy and consistency in annotations to enhance the performance of AI applications.
- Assist in managing the product queue backlog, specifically focusing on lower-tier companies.
- Perform additional financial data-related tasks as required when not engaged in AI annotation work.
Requirements:
- Bachelor or/and Master's degree in Finance, Accounting or equivalent work experience.
- Strong knowledge of financial markets and accounting principles is a must.
- Auditing experience, with the ability to accurately identify and classify financial information is highly preferred.
- Ability to analyze complex financial data and accurately annotate it for AI training purposes.
- Proficiency with programming languages would be beneficial.
- Strong attention to detail and a high degree of accuracy in data handling.
- Ability to work independently and collaboratively within a team.
- Strong verbal and written communication skills to effectively collaborate with team members and stakeholders.
- Flexibility to handle varying workloads and support different projects as needed.
Unfortunately, we are only able to contact applicants who are successful to interview stage.
We are an equal opportunities employer and welcome applicants from all sections of the community, regardless of age, sex, gender (or gender identity), ethnicity, disability, sexual orientation, and transgender status. All appointments are based on merit
Finance Graduate - AI Data Annotation Analyst in London employer: Project Recruit
Join a leading organisation at the forefront of finance and technology, where you will receive world-class training and support in a dynamic and collaborative work environment. As a Finance Graduate - AI Data Annotation Analyst, you will have the opportunity to kickstart your career while contributing to innovative projects that enhance AI capabilities in financial markets. With a strong commitment to employee growth and equal opportunities, this role offers a pathway to permanent positions within the company, making it an excellent choice for ambitious graduates.
StudySmarter Expert Advice🤫
We think this is how you could land Finance Graduate - AI Data Annotation 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 Project Recruit. 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 Finance Graduate - AI Data Annotation 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 Project Recruit.
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 Project Recruit'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 Project Recruit
✨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 Project Recruit.
✨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 Project Recruit 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 Project Recruit 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.
