At a Glance
- Tasks: Drive client success and ensure adoption of our Enterprise MRM platform.
- Company: ValidMind empowers financial services with trust and transparency in AI/ML models.
- Benefits: Enjoy a remote-first culture, flexible work hours, and a competitive salary package.
- Why this job: Make a significant impact in AI risk management while growing in a dynamic startup environment.
- Qualifications: 3-7+ years in Analytics/AI/MRM and 5+ years in Customer Success required.
- Other info: Opportunity for travel and collaboration with global teams.
The predicted salary is between 65000 - 95000 £ per year.
Location: United Kingdom - Remote (London preferred)
About ValidMind
ValidMind empowers financial services organizations to bring more trust and transparency to the world’s AI/ML/LLM models. With the rapid evolution of AI, increased regulatory scrutiny, and lack of fit-for-purpose tooling, financial services’ Model Risk Management (MRM) and AI Governance functions are under enormous pressure to ensure compliance. We are passionate about helping these organizations seamlessly and confidently test, validate, and document their business’ AI models while ensuring compliance with domestic and international AI and model risk regulations.
In this pivotal role, you will be responsible for driving client success and ensuring the widespread adoption of our Enterprise MRM platform. You will be a strategic partner to our clients, collaborating with them to define their business objectives and develop tailored MRM programs that align with their goals. You will participate as a part of the account team along with CS Managers/Directors and CS Field Engineers to provide exceptional support and guidance throughout our platform’s onboarding, implementation, and ongoing use. As a thought leader in the industry, you will stay abreast of best practices and regulatory developments to provide expert insights to our clients. You will also contribute to the development and execution of ValidMind's customer success strategy, ensuring we continue delivering unparalleled value to our clients.
What You'll Be Doing & Your Impact:
- Train clients on the MRM platform and provide ongoing education on model risk management topics.
- Collaborate with clients to understand their model usage and identify potential risk areas.
- Review and analyze client models to assess conceptual soundness, methodology, data quality, and performance metrics.
- Clearly explain complex model risks and their implications to clients, including senior management.
- Ensure client model usage aligns with relevant regulatory requirements and internal model governance policies.
- Collaborate with the model validation team to interpret results and communicate key findings to clients.
- Establish strong relationships with clients, acting as a trusted advisor on model risk management.
- Deliver training sessions to clients on best practices for model usage, risk identification, and model governance.
- Collaborate with other departments to resolve customer issues and improve the experience.
- Stay updated on product launches, policies, and industry trends to provide accurate customer information.
- Advocate for customers by sharing feedback and insights with the company.
- Participate in divisional activities as part of the Customer Success organization.
Who You Are & What Makes You Qualified:
- 3-7+ years of background in Analytics / AI / Model Risk Management (MRM), Model Governance, and/or Model Development.
- Experience in Model Risk Management activities including model documentation and validation.
- 5+ years of experience in Customer Success or Technical Account Management.
- Proven leadership skills in supporting and maintaining solid, high-value customer relationships.
- Excellent communication, interpersonal, and problem-solving abilities.
- Strong analytical skills and a data-driven mindset.
- EMEA time zone availability is required with flexibility for overlapping US eastern time zone.
Nice-to-Have(s):
- Customer-facing role, often requiring regular client meetings and presentations.
- Startup mentality with a desire to assist beyond defined role responsibilities.
- Familiarity with Python/R, Jupyter Notebooks, ZenDesk, & Notion is preferred.
- Experience with customer-facing content development via MS PowerPoint / Google Slides is required.
- Some travel is required for team events and customer visits.
What does ValidMind offer?
- A total compensation package, including base salary, equity incentive, paid time off, and benefits.
- An inclusive, remote-first work culture with regular get-togethers around the world.
- Work-life balance with a flexible work schedule.
At ValidMind, we create the most efficient solution for organizations to automate testing, documentation, and risk management for AI and statistical models. Working here means being at the forefront of AI risk management, but it’s also more personal than that: we promote an inclusive culture where we value your ideas and creativity. We want you to have a sense of ownership over your work, to build mutual trust with your peers, and to feel supported in everything you do. There is ample room to grow as a VC-backed company in the early stages of growth.
Salary: £76,321-£108,027 base salary, depending on experience, location and other qualifying factors (paid in local currency).
Customer Success Architect, Model Risk Management (MRM) - EMEA United Kingdom - Remote employer: ValidMind Inc
Contact Detail:
ValidMind Inc Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Customer Success Architect, Model Risk Management (MRM) - EMEA United Kingdom - Remote
✨Tip Number 1
Familiarise yourself with the latest trends and regulations in Model Risk Management. This will not only help you understand the industry better but also allow you to engage in meaningful conversations with potential employers about how you can contribute to their success.
✨Tip Number 2
Network with professionals in the AI and financial services sectors. Attend relevant webinars, conferences, or local meetups to connect with others in the field. Building relationships can lead to referrals and insider information about job openings.
✨Tip Number 3
Showcase your expertise by sharing insights on platforms like LinkedIn. Write articles or posts about Model Risk Management best practices or recent developments in AI governance. This can position you as a thought leader and attract the attention of hiring managers.
✨Tip Number 4
Prepare for interviews by practising how to explain complex model risks clearly and concisely. Use examples from your past experiences to demonstrate your ability to communicate effectively with clients, especially senior management.
We think you need these skills to ace Customer Success Architect, Model Risk Management (MRM) - EMEA United Kingdom - Remote
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in Model Risk Management, Customer Success, and any technical skills that align with the job description. Use keywords from the job posting to demonstrate your fit for the role.
Craft a Compelling Cover Letter: In your cover letter, express your passion for model risk management and how your background aligns with ValidMind's mission. Be specific about your experience in training clients and managing model risks, as this is crucial for the role.
Showcase Your Communication Skills: Since excellent communication is key for this position, ensure your application materials are well-written and free of errors. Consider including examples of how you've effectively communicated complex concepts to clients in the past.
Prepare for Technical Questions: Be ready to discuss your experience with model validation and governance in detail. Think about specific projects or challenges you've faced and how you addressed them, as these will likely come up during interviews.
How to prepare for a job interview at ValidMind Inc
✨Understand the Role
Make sure you have a clear understanding of what a Customer Success Architect does, especially in the context of Model Risk Management. Familiarise yourself with the specific responsibilities mentioned in the job description, such as training clients and collaborating on model usage.
✨Showcase Your Experience
Be prepared to discuss your background in Analytics, AI, and Model Risk Management. Highlight specific examples of how you've successfully managed client relationships and contributed to customer success in previous roles.
✨Prepare for Technical Questions
Since the role involves technical aspects like model validation and risk assessment, brush up on relevant concepts and be ready to explain complex ideas clearly. This will demonstrate your expertise and ability to communicate effectively with clients.
✨Demonstrate Your Problem-Solving Skills
Think of examples where you've resolved customer issues or improved processes in your past roles. Being able to articulate your problem-solving approach will show that you're proactive and capable of handling challenges in a customer-facing position.