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- Tasks: Lead the development of innovative digital trading algorithms and mentor a team of data scientists.
- Company: Join Arch, a collaborative company that inspires progress and innovation.
- Benefits: Competitive salary, career growth opportunities, and a dynamic work environment.
- Why this job: Make a real impact in the insurance industry with cutting-edge analytics and algorithms.
- Qualifications: Experience in advanced analytics, coding skills in Python and SQL, and strong teamwork abilities.
- Other info: Be part of a growing team focused on solving complex business challenges.
The predicted salary is between 80000 - 120000 £ 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 Possibilityâ„ .
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.
Skills
- 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
- 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.
Education
- Degree in statistics, mathematics, computer science, engineering or similar quantitative fields; or significant experience in advanced data analytics.
Do you like solving complex business problems, working with talented colleagues and have an innovative mindset? Arch may be a great fit for you. If this job isn’t the right fit but you’re interested in working for Arch, create a job alert! Simply create an account and opt in to receive emails when we have job openings that meet your criteria. Join our talent community to share your preferences directly with Arch’s Talent Acquisition team.
VP, Digital Algorithms & Trading Leader employer: Arch
Contact Detail:
Arch Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land VP, Digital Algorithms & Trading Leader
✨Tip Number 1
Network like a pro! Reach out to people in your industry, especially those at Arch. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your skills! If you’ve got a portfolio or examples of your work, bring them along to interviews. It’s a great way to demonstrate your expertise in algorithms and trading.
✨Tip Number 3
Prepare for the unexpected! Be ready to tackle some tricky questions or case studies during interviews. They want to see how you think on your feet, so practice problem-solving scenarios.
✨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, you can set up job alerts to stay in the loop!
We think you need these skills to ace VP, Digital Algorithms & Trading Leader
Some tips for your application 🫡
Show Your Passion: When writing your application, let your enthusiasm for digital algorithms and trading shine through. We want to see how your passion aligns with our mission to enable possibility and drive innovation.
Tailor Your Experience: Make sure to highlight your relevant experience in advanced analytics and the insurance industry. We’re looking for specific examples that demonstrate your skills in developing algorithms and working with cross-functional teams.
Be Clear and Concise: Use clear language and avoid jargon when explaining your past projects and achievements. We appreciate straightforward communication that conveys complex ideas simply, as this reflects the kind of collaboration we value at StudySmarter.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it helps us keep everything organised!
How to prepare for a job interview at Arch
✨Know Your Algorithms
Make sure you brush up on your knowledge of algorithms, especially those relevant to digital trading. Be prepared to discuss specific examples of algorithms you've developed or worked with, and how they improved trading outcomes.
✨Showcase Your Team Spirit
Since collaboration is key in this role, think of examples where you've successfully worked in cross-functional teams. Highlight how you mentored others and contributed to a positive team environment.
✨Communicate Complex Ideas Simply
Practice explaining complex concepts in a way that non-technical stakeholders can understand. This will demonstrate your ability to bridge the gap between technical and non-technical teams, which is crucial for this position.
✨Prepare for Scenario Questions
Expect scenario-based questions that assess your problem-solving skills. Think about past challenges you've faced in algorithm development or analytics, and be ready to explain your thought process and the outcomes.