At a Glance
- Tasks: Design finance questions for AI evaluation and analyse model responses.
- Company: Leading data engineering company with a global presence.
- Benefits: Remote work opportunity with competitive pay for freelance engagement.
- Other info: Short-term freelance role with potential for future opportunities.
- Why this job: Join a cutting-edge AI project and make an impact in finance.
- Qualifications: CFA preferred, with 3-5 years in financial services and strong analytical skills.
The predicted salary is between 60000 - 80000 € per year.
Innodata (NASDAQ: INOD) is a leading data engineering company. With more than 2,000 customers and operations in 13 cities around the world, we are an AI technology solutions provider-of-choice for 4 out of 5 of the world’s biggest technology companies, as well as leading companies across financial services, insurance, technology, law, and medicine. By combining advanced machine learning and artificial intelligence (ML/AI) technologies, a global workforce of subject matter experts, and a high-security infrastructure, we’re helping usher in the promise of AI. Innodata offers a powerful combination of both digital data solutions and easy-to-use, high-quality platforms.
Our global workforce includes over 5,000 employees in the United States, Canada, United Kingdom, the Philippines, India, Sri Lanka, Israel and Germany.
About the Role: We are seeking highly motivated Finance experts/consultants, preferably CFA Charterholders, with proven experience in U.S. financial services. Candidates should have strong domain knowledge and the ability to translate complex financial concepts into structured frameworks that support AI training and evaluation.
Location: Remote (Resources who have native level proficiency in Chinese)
Duration: 1 week
Engagement Type: Freelancing
Domains of Expertise (One or More Required):
- Core Banking & Client Services: Retail, Corporate, Wealth, Private Banking
- Investments & Capital Markets: Asset Management, Investment Banking, Capital Markets, Hedge Funds, Private Equity, Venture Capital, Real Estate Finance
- Specialized Financing: Project Finance, Trade Finance, Microfinance, Sustainable Finance
- Risk & Compliance: Risk Management, Credit Analysis, Regulatory Compliance, Actuarial Services
- Corporate Finance & Analysis: FP&A, Treasury & Cash Management, Cost & Management Accounting
- Technology & Innovation: FinTech, InsurTech, RegTech
Key Responsibilities:
- Design structured finance questions/prompts, scenarios and problem statements that will be used to evaluate the accuracy and depth of AI model responses
- Develop answer rubrics/structured response outlines to evaluate the model generated outputs
- Analyse and assess AI-generated responses, providing insightful commentary and domain-based evaluation
- Collaborate with internal teams to discuss findings, propose refinements and improve model performance
- Assist in preparing a final report summarising research insights and evaluation outcomes
Qualifications & Skills:
- Finance qualifications, e.g. CPA, MBA Finance. CFA Charterholders are preferred
- Minimum 3-5 years of professional experience in one or more relevant financial services domains
- Strong analytical and problem-solving skills with the ability to clearly structure complex financial concepts
- Excellent written communication skills with attention to precision and clarity
- Familiarity with AI/ML applications in finance is a plus (not required)
If interested, kindly share your resume at with a subject line "Application for finance specialist"
Chief Financial Officer - Chinese in London employer: Innodata Inc.
Innodata is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration among a diverse global workforce. With a strong emphasis on employee growth and development, we provide unique opportunities for finance experts to engage in cutting-edge AI projects while working remotely, ensuring a flexible work-life balance. Join us to be part of a leading data engineering company that values your expertise and supports your professional journey.
StudySmarter Expert Advice🤫
We think this is how you could land Chief Financial Officer - Chinese in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the finance sector and let them know you're on the hunt for opportunities. A personal recommendation can go a long way, especially for roles like CFO.
✨Tip Number 2
Prepare for interviews by brushing up on your knowledge of AI in finance. Since this role involves evaluating AI model responses, being able to discuss how finance intersects with technology will impress your interviewers.
✨Tip Number 3
Showcase your expertise! Create a portfolio or a presentation that highlights your past achievements in finance, especially any experience related to AI or machine learning. This can set you apart from other candidates.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're serious about joining our team at Innodata.
We think you need these skills to ace Chief Financial Officer - Chinese in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the role. Highlight your relevant experience in finance and any qualifications like CFA that make you stand out. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're the perfect fit for this role. Be sure to mention your experience with AI in finance if you have it, as it’s a nice bonus for us.
Be Clear and Concise:When writing your application, clarity is key. Avoid jargon and keep your language straightforward. We appreciate precision and clarity, especially when it comes to complex financial concepts.
Apply Through Our Website:Don’t forget to apply 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 to do!
How to prepare for a job interview at Innodata Inc.
✨Know Your Financial Stuff
Make sure you brush up on your financial knowledge, especially in areas like core banking, investments, and risk management. Be ready to discuss how you can translate complex financial concepts into structured frameworks, as this is key for the role.
✨Showcase Your CFA Expertise
If you're a CFA Charterholder, flaunt it! Talk about how your qualifications have shaped your understanding of finance and how they can benefit the AI training project. Share specific examples from your experience that highlight your expertise.
✨Prepare for AI Discussions
Even if familiarity with AI/ML isn't required, it's a good idea to understand how these technologies intersect with finance. Be prepared to discuss any relevant experiences or insights you have regarding AI applications in financial services.
✨Communicate Clearly
Since excellent written communication skills are crucial, practice articulating your thoughts clearly and concisely. You might be asked to explain complex ideas, so think about how you can do this effectively during the interview.
