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About the Role
We're looking for an Algorithm Engineering Manager to join our algorithmic underwriting team. In this role, you'll partner with our Head of Algorithm Engineering to build and guide an effective algorithm engineering team, while helping us shape the bold vision of our underwriting algorithm. You'll collaborate with colleagues across our business to solve exciting organisational and technical challenges.
Responsibilities
- Act as an advocate for the vision of Ki’s Underwriting Algorithm both within the team and the wider community.
- Keep current with trends and issues in the technology industry, advising and educating executives on their impact.
- Help shape and execute the Algorithm Engineering team’s strategy.
- Work with leadership to shape the architecture across algo related domains and their interfaces with the rest of the engineering org.
- Ensure Ki is well positioned to explore new algorithmic underwriting strategies and exploit emerging technologies.
- Help senior leadership understand algorithm engineering capabilities and use them to develop Ki’s product and strategy.
- Work with colleagues to create and iterate governance processes around model lifecycle management.
- Liaise with stakeholders to structure and evolve the roadmap for Ki’s Underwriting Algorithm.
- Manage and build a high-performance Algorithm Engineering team, influencing hiring and development strategy.
- Drive improvements in the way we operate as a digital underwriting capability.
Requirements
- Bachelor’s degree or higher in a STEM field, or equivalent practical experience.
- Commercially minded.
- Understanding of the control and management of data products.
- Experience with Python programming and various software design patterns.
- Direct experience with at least one cloud provider.
- Experience interfacing and communicating with stakeholders on the value and execution of algorithmic approaches to commercial problems.
- Managing data science or engineering activity via both people management and technical leadership.
- Experience developing industrialised machine learning applications and services.
- Understanding the importance of market compliance and core regulatory requirements.
- Understanding of what it takes to build a good engineering culture.
Skills
- Python programming
- Software design patterns
- Cloud provider experience
- Stakeholder communication
- People management
- Technical leadership
- Machine learning applications
- Model lifecycle management
Experience Level
- Management experience
Education Level
- Bachelor’s degree in STEM or equivalent practical experience
- PhD in STEM (a plus)
Benefits
- Highly competitive remuneration and benefits package
- Package is kept under constant review to ensure relevance
- Acknowledgement and reward for extraordinary effort
About the Company
- Ki is a digitally disruptive insurance carrier using algorithms, machine learning, and large language models.
- We provide insurance brokers with quotes in seconds, revolutionizing a 335-year-old market.
- We are the biggest global algorithmic insurance carrier and the fastest-growing syndicate in the Lloyd's of London market.
- We are the first syndicate to make $100m in profit in 3 years.
- Our teams have varied backgrounds and work in an agile, cross-functional way.
- We invest time in research and development, internally and with leading academic institutions.