Finance Manager

Finance Manager

Full-Time 72000 - 120000 £ / year (est.) No home office possible
Mercor

At a Glance

  • Tasks: Create financial strategies and solve real issues to support cutting-edge AI research.
  • Company: Join a leading AI talent connector backed by top investors.
  • Benefits: Competitive hourly rate, remote work, and flexible hours.
  • Other info: Immediate start with a dynamic, fast-paced environment.
  • Why this job: Make a significant impact in the AI field while working with elite teams.
  • Qualifications: 4+ years in financial management and strong communication skills.

The predicted salary is between 72000 - 120000 £ per year.

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: Financial Managers

Type: Contract

Compensation: $90–$150/hour

Location: Remote

Duration: 3–4 weeks

Commitment: 15–30+ hours/week

Role Responsibilities

  • Create tasks and deliverables regarding common requests within the financial management domain.
  • Diagnose and solve real issues in financial management to support AI research.
  • Contribute expertise to advance research and infrastructure for next-generation machine learning systems.
  • Work independently and asynchronously to meet deadlines and improve AI model performance.
  • Collaborate with AI research teams to enhance model outputs and training data quality.

Qualifications Must-Have

  • 4+ years professional experience in financial management.
  • Excellent written communication with strong grammar and spelling skills.

Start Date

Immediately

Application Process (Takes 20–30 mins to complete)

  • Upload resume
  • AI interview based on your resume
  • Submit form

Resources & Support

For details about the interview process and platform information, please check: Interview Process

For any help or support, reach out to: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Finance Manager employer: Mercor

Mercor is an exceptional employer that fosters a dynamic and innovative work culture, connecting top-tier talent with cutting-edge AI research. With the flexibility of remote work, employees enjoy a supportive environment that encourages professional growth and collaboration with leading experts in the field. The company offers competitive compensation and the opportunity to contribute to groundbreaking advancements in machine learning, making it a rewarding place for finance professionals seeking meaningful impact.
Mercor

Contact Detail:

Mercor Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Finance Manager

✨Tip Number 1

Get familiar with the company and its mission. Knowing what Mercor stands for and how they connect talent with AI research can help you tailor your responses during the interview. We want to see that you’re genuinely interested in contributing to their goals.

✨Tip Number 2

Practice your AI interview skills! Since the application process includes an AI interview, it’s crucial to prepare. We recommend running through common finance-related questions and thinking about how your experience aligns with the role's responsibilities.

✨Tip Number 3

Showcase your problem-solving skills. The role involves diagnosing and solving real issues in financial management, so be ready to discuss specific examples from your past work. We love hearing about how you tackled challenges head-on!

✨Tip Number 4

Don’t forget to follow up! After your interview, send a quick thank-you note expressing your appreciation for the opportunity. It shows professionalism and keeps you on their radar. We believe this small gesture can make a big difference!

We think you need these skills to ace Finance Manager

Financial Management
Problem-Solving Skills
Written Communication
Attention to Detail
Collaboration
Time Management
Analytical Skills
AI Research Support
Task Creation
Deadline Management

Some tips for your application 🫡

Tailor Your Resume: Make sure your resume highlights your experience in financial management. We want to see how your skills align with the role, so don’t be shy about showcasing relevant achievements!

Nail the AI Interview: The AI interview is a key part of our process. Take your time to answer questions thoughtfully and clearly. Remember, this is your chance to shine and show us what you can bring to the table!

Check Your Grammar: Since excellent written communication is a must-have for this role, double-check your application for any spelling or grammar mistakes. We appreciate attention to detail, so let’s make sure your application reflects that!

Apply Through Our Website: We encourage you to apply directly through our website. It’s quick and easy, and it ensures your application gets to us without any hiccups. Plus, we review applications daily, so don’t wait too long!

How to prepare for a job interview at Mercor

✨Know Your Numbers

As a Finance Manager, you’ll need to demonstrate your expertise in financial management. Brush up on key financial metrics and be ready to discuss how you've used them to solve real issues in previous roles. This will show that you can contribute effectively to the AI research teams.

✨Communicate Clearly

Since excellent written communication is a must-have, practice articulating your thoughts clearly and concisely. Prepare to explain complex financial concepts in simple terms, as this will be crucial when collaborating with technical teams.

✨Showcase Your Independence

The role requires working independently and asynchronously. Be prepared to share examples of how you've successfully managed projects on your own, met deadlines, and improved processes without constant supervision.

✨Familiarise Yourself with AI Concepts

While your focus is on finance, having a basic understanding of AI and machine learning will set you apart. Research how financial management intersects with AI research, and be ready to discuss how your expertise can enhance model outputs and training data quality.

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