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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in algorithm engineering, data product management, and team leadership, with a strong focus on developing and executing strategies that leverage emerging technologies and improve operational capabilities. Proficient in Python programming and experienced in managing data science initiatives while ensuring compliance with regulatory standards.
Highest-signal resume keywords
Python ProgrammingCloud Provider ExperienceData Product ManagementAlgorithm Engineering StrategyTeam Leadership
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Python ProgrammingSoftware Design PatternsMachine Learning ApplicationsData Science ManagementAlgorithm Development
Soft Skills
Stakeholder CommunicationAdvisory SkillsProblem SolvingTeam BuildingGovernance Process Creation
Tools & Technologies
Cloud Computing PlatformsData Management ToolsModel Lifecycle Management Tools
Industry Keywords
Algorithm EngineeringMarket ComplianceRegulatory RequirementsDigital UnderwritingEngineering Culture
Tech Stack
Tools & technologiesCloudPython
About the role
Key responsibilities & impact- Advocate for the vision of Ki’s Underwriting Algorithm within the team and wider community
- Keep current with technology industry trends and issues
- Advise, counsel, and educate executives and management on competitive or financial impact
- Shape and execute the Algorithm Engineering team’s strategy
- Shape architecture across algorithm-related domains and interfaces with the wider engineering organisation
- Reduce complexity and solve problems through architectural improvements
- Position Ki 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
- Guide investment supporting Ki’s product and strategy
- Create and iterate governance processes for model lifecycle management
- Advocate and uphold model management best practices
- Liaise with stakeholders to structure and evolve the roadmap for Ki’s Underwriting Algorithm
- Manage and build a high-performance Algorithm Engineering team
- Influence the team’s hiring and development strategy
- Drive improvements in operating as a digital underwriting capability
Requirements
What you’ll need- Bachelor’s degree or higher in a STEM field, or equivalent practical experience
- PhD in a STEM field is a plus
- 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
- Experience managing data science or engineering activity through people management and technical leadership
- Experience developing industrialised machine learning applications and services
- Understanding of market compliance and core regulatory requirements
- Understanding of what it takes to build a good engineering culture
Benefits
Comp & perks- Highly competitive remuneration and benefits package
- Remuneration and benefits package kept under constant review
- Recognition and rewards for extraordinary effort by teams or individuals