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- Tasks: Shape and advance a critical actuarial modeling platform for financial and risk management.
- Company: Join a leading firm with a focus on innovation and collaboration.
- Benefits: Performance bonuses, comprehensive healthcare, and support programmes.
- Other info: Inclusive culture with opportunities for professional growth and technical excellence.
- Why this job: Make a real impact with cutting-edge technology in a high-impact role.
- Qualifications: 7+ years in actuarial or financial modeling; strong Python and SQL skills.
The predicted salary is between 80000 - 100000 ÂŁ per year.
This role offers a senior opportunity to shape and advance a critical actuarial modeling platform supporting enterprise-wide financial, risk, and capital management functions. You will play a key role in building and scaling a modern actuarial modeling ecosystem that underpins long-range projections, embedded value, capital frameworks, and pricing applications. Working in a highly technical and collaborative environment, you will partner closely with model developers, actuaries, and end users to ensure modeling solutions are accurate, scalable, and production-ready. The position requires strong ownership across model design, validation, governance, and lifecycle management. You will contribute directly to the evolution of a rapidly expanding internal platform that replaces legacy systems with modern, automated, and auditable capabilities. This is a high-impact role suited for someone who thrives at the intersection of actuarial science, technology, and enterprise risk management.
Accountabilities
- Support the development, expansion, and stabilization of an enterprise actuarial modeling platform used across financial, capital, and risk functions.
- Collaborate with model developers and stakeholders to ensure timely delivery of modeling capabilities aligned with business priorities.
- Oversee model design, data structure integrity, actuarial code changes, and pipeline automation to ensure robustness and scalability.
- Test, validate, and ensure consistency across cross-module model enhancements and system integrations.
- Ensure the platform supports key enterprise use cases, including long-range projections, embedded value, capital requirements, pricing, and balance sheet analysis.
- Contribute to model governance by documenting methodologies, changes, and ensuring compliance with internal review standards.
- Maintain a strong model development lifecycle framework, ensuring accuracy, transparency, and auditability.
Requirements
- Bachelor’s degree in Finance, Mathematics, Statistics, Computer Science, or a related quantitative field.
- 7+ years of actuarial or financial modeling experience within life insurance, annuities, or asset‑liability management environments.
- Strong proficiency in Python, SQL, GitHub, and modern actuarial or financial modeling tools.
- Experience working with large, complex datasets and translating analytical outputs into business insights and decisions.
- Strong understanding of actuarial modeling frameworks, capital modeling, and enterprise financial reporting processes.
- Ability to manage multiple priorities in a fast‑paced, evolving technical environment.
- Excellent communication and stakeholder management skills across technical and business teams.
- Experience with open‑source development practices, CI/CD pipelines, or AI‑assisted code validation is a plus.
- Prior experience transitioning from vendor‑based modeling systems to internally developed platforms is preferred.
Benefits
- Annual performance‑based bonus in addition to base compensation.
- Comprehensive benefits package including healthcare coverage and additional employee support programs.
- Opportunity to work on a cutting‑edge actuarial modeling platform with enterprise‑wide impact.
- Exposure to advanced modeling technologies, automation frameworks, and modern development practices.
- Inclusive and collaborative culture focused on long‑term professional growth and technical excellence.
AVP, Modeling employer: Jobgether
Contact Detail:
Jobgether Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AVP, Modeling
✨Tip Number 1
Network like a pro! Reach out to professionals in the actuarial field on LinkedIn or at industry events. We can’t stress enough how valuable personal connections can be in landing that AVP, Modeling role.
✨Tip Number 2
Showcase your skills! Prepare a portfolio of your past projects, especially those involving Python, SQL, and actuarial modelling. We want to see how you’ve tackled complex datasets and turned them into actionable insights.
✨Tip Number 3
Ace the interview! Brush up on your technical knowledge and be ready to discuss your experience with model design and governance. We’re looking for someone who can communicate effectively with both technical and business teams.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. We’re excited to see how you can contribute to our cutting-edge actuarial modelling platform.
We think you need these skills to ace AVP, Modeling
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of AVP, Modeling. Highlight your experience in actuarial modeling and any relevant technical skills like Python and SQL. We want to see how your background aligns with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about this role and how you can contribute to our actuarial modeling platform. Keep it engaging and personal – we love to see your personality!
Showcase Your Technical Skills: Since this role is highly technical, don’t shy away from showcasing your proficiency in tools like GitHub and your experience with large datasets. We’re looking for someone who can hit the ground running, so let us know what you bring to the table!
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates. Plus, it’s super easy!
How to prepare for a job interview at Jobgether
✨Know Your Modelling Inside Out
Make sure you’re well-versed in the actuarial modelling frameworks and tools mentioned in the job description. Brush up on your Python, SQL, and any specific modelling tools you’ve used. Being able to discuss your past experiences with these technologies will show that you’re not just familiar but also capable of contributing from day one.
✨Showcase Your Collaboration Skills
This role emphasises working closely with model developers and stakeholders. Prepare examples of how you've successfully collaborated in previous roles. Think about times when you’ve had to manage multiple priorities or communicate complex ideas to non-technical teams—these stories will highlight your stakeholder management skills.
✨Demonstrate Your Problem-Solving Abilities
Be ready to discuss specific challenges you’ve faced in actuarial modelling and how you overcame them. This could involve anything from ensuring data integrity to transitioning from legacy systems. Showing that you can think critically and adapt to evolving technical environments will set you apart.
✨Prepare Questions That Matter
Interviews are a two-way street, so come prepared with insightful questions about the company’s modelling platform and future projects. Ask about their approach to model governance or how they ensure compliance with internal standards. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.