Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead the development of innovative digital trading algorithms and mentor a team of data scientists.
- Company: Join Arch, a collaborative company driving progress through analytics and innovation.
- Benefits: Enjoy hybrid working, competitive salary, and opportunities for professional growth.
- Why this job: Make a real impact in the insurance industry with cutting-edge technology and creative problem-solving.
- Qualifications: Experience in advanced analytics, coding skills in Python/SQL, and a degree in a quantitative field.
- Other info: Dynamic environment with strong career advancement opportunities and a focus on teamwork.
The predicted salary is between 36000 - 60000 £ per year.
With a company culture rooted in collaboration, expertise and innovation, we aim to promote progress and inspire our clients, employees, investors and communities to achieve their greatest potential. Our work is the catalyst that helps others achieve their goals. In short, We Enable Possibility(SM).
Strategic Analytics is a growing team at Arch that develops innovative analytics, algorithms and AI tools to improve profitability and growth as well as providing deep analytical insight to drive decision making. To be successful, we need to develop powerful algorithms, tools and insights that give Arch a unique, competitive advantage.
As Head of Digital Algorithms you will play a crucial role in developing and overseeing algorithmic solutions which support Arch’s digital trading capabilities. You will work closely with senior stakeholders in the digital function, business unit teams and within the wider strategic analytics team to design, build and monitor algorithms which underpin digital trading across Arch Insurance’s international business. You will work with and direct other data scientists and engineers to build best-in-class digital trading tools which combine creativity, statistical rigor and business context.
Key Tasks & Responsibilities- Lead day-to-day activities to design new and enhance existing digital trading algorithms
- Guide, support, mentor and develop the work of a growing team of data scientists who will be supporting the development of digital trading capabilities
- Work closely with business partners to understand existing approaches to underwriting and pricing and translate these into appropriate digital capabilities
- Design and oversee the monitoring and continuous improvement of algorithmic performance
- Discover, explore and analyse internal and external datasets for the purpose of developing appropriate digital trading algorithms
- Collaborate in cross-functional teams and share ideas to solve complex business problems
- Build strong partnerships with peers across the organization to support project goals and execute on the priorities set by the Head of Digital
- Help establish best practices and repeatable processes around digital algorithm development and maintenance
- Provide thought leadership on new, innovative techniques, approaches and software
- Deep knowledge of a broad range of London Market lines of business and trading environment
- Data manipulation and analytical skills in languages such as Python and SQL. Knowledge of visualization tools such as PowerBI or Sigma is a plus
- Familiarity with cloud-based platforms such as Databricks, Snowflake and Azure is an advantage, but not essential
- Strong coding practices which support robust algorithmic development and deployment
- Understanding of a range of pricing approaches as well as knowledge of advanced analytical tools
- Effective task / project management and general organization skills
- Excellent verbal and written communications skills; ability to convey complex concepts to technical and non-technical people across the organization as well as external partners
- Exceptional teamwork skills required to play a key role in cross-functional teams. Ability to collaborate and build trusting relationships with business partners
- Natural curiosity to understand the world around you and question as needed
- Comfortable handling ambiguous concepts and breaking down complex problems into manageable pieces
- Ability to apply critical thinking and creative problem-solving skills
- Experience in advanced analytics roles, a significant portion of which should be in the insurance industry
- Experience working in an analytical role within a London Market and / or digital environment is an advantage
- Hands-on experience developing and deploying pricing models and / or trading algorithms in the London Market
- Experience working closely with non-technical stakeholders, such as underwriting and IT
- Degree in statistics, mathematics, computer science, engineering or similar quantitative fields; or significant experience in advanced data analytics
AVP, Head of Digital Algorithms in London employer: Mcneil & Co.
Contact Detail:
Mcneil & Co. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AVP, Head of Digital Algorithms in London
✨Tip Number 1
Network like a pro! Reach out to people in your industry on LinkedIn or at events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Prepare for interviews by researching the company and its culture. Understand their digital trading strategies and think about how your skills can enhance their algorithms. Show them you’re not just another candidate!
✨Tip Number 3
Practice your pitch! Be ready to explain your experience with data manipulation and algorithm development clearly and confidently. Make it relatable to the role of Head of Digital Algorithms.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, you can set up job alerts to stay updated on new openings that match your skills.
We think you need these skills to ace AVP, Head of Digital Algorithms in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Head of Digital Algorithms role. Highlight your experience in advanced analytics, especially within the insurance industry, and don’t forget to mention any relevant coding skills!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about digital algorithms and how your background makes you a perfect fit for our team. Be sure to mention your collaborative spirit and innovative mindset.
Showcase Your Projects: If you've worked on any relevant projects, whether in a professional or academic setting, make sure to include them. Discuss the algorithms you developed, the tools you used, and the impact they had. This will help us see your practical experience in action!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team at Arch!
How to prepare for a job interview at Mcneil & Co.
✨Know Your Algorithms
Make sure you brush up on your knowledge of digital trading algorithms. Be ready to discuss specific examples of algorithms you've developed or worked with, and how they impacted business outcomes. This will show your expertise and understanding of the role.
✨Showcase Your Team Leadership Skills
As a potential Head of Digital Algorithms, you'll need to demonstrate your ability to lead and mentor a team. Prepare examples of how you've guided teams in the past, focusing on collaboration and innovation. Highlight any successful projects that resulted from your leadership.
✨Understand the Business Context
Familiarise yourself with Arch's business model and the London Market environment. Be prepared to discuss how your technical skills can translate into business value, especially in underwriting and pricing. This will help you connect with stakeholders during the interview.
✨Prepare for Technical Questions
Expect to face technical questions related to Python, SQL, and data analytics. Brush up on your coding practices and be ready to solve problems on the spot. Practising common algorithmic challenges can give you an edge and demonstrate your analytical prowess.