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Who are we?π
Look at the latest headlines and you will see something Ki insures. Think space shuttles, world tours, wind farms, and even footballers' legs.
Ki's mission is simple. Digitally disrupt and revolutionise a 335-year-old market. Working with Google and UCL, Ki has created a platform that uses algorithms, machine learning and large language models to give insurance brokers quotes in seconds, rather than days.
Ki is proudly the biggest global algorithmic insurance carrier. It is the fastest growing syndicate in the Lloyd's of London market, and the first ever to make $100m in profit in 3 years.
Ki's teams have varied backgrounds and work together in an agile, cross-functional way to build the very best experience for its customers. Ki has big ambitions but needs more excellent minds to challenge the status-quo and help it reach new horizons.
Where you come in?
You'll be at the forefront of our corporate actuarial activity, guiding our business planning, performance monitoring, and strategic decision-making across Ki's underwriting portfolio. You'll provide the high-quality actuarial insight and forward-looking analysis needed to enhance portfolio performance and sharpen our risk management. You'll be central to connecting our actuarial, underwriting, risk, and finance teams, ensuring we make consistent and well-informed decisions together. You'll lead the development of the innovative tools and frameworks that support our portfolio optimisation and business planning. You'll also be a key part of our drive for continuous improvement of Ki's actuarial capabilities, systems, and processes to help us achieve our strategic goals.
What you will be doing: ποΈ
Reasons to use Rodeo
Iβm in my final year doing Economics and I donβt know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer β it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) donβt need a masters. Letβs look at the ones youβd be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Grad scheme, placement, apprenticeship? Not sure what you want yet β that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant β 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
See breakdownIt searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
Youβve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon β deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme β client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right β and where to focus when applying.
- Lead the development, validation, and ongoing monitoring of business plans and portfolio performance, including setting and challenging key actuarial assumptions (e.g. IEULR) and ensuring alignment with reserving and risk views.
- Partner with Portfolio Management, Underwriting, Claims and Finance to provide clear, actionable insight on portfolio profitability, performance drivers, and strategic direction.
- Drive enhanced performance management through high-quality analysis, targeted reporting, and effective communication of insights, incorporating reserving outputs, market developments, and forward-looking indicators.
- Deliver deep-dive and forward-looking analysis to understand and improve performance, including macroeconomic factors (e.g. inflation, climate) and emerging risks, supporting underwriting and portfolio optimisation decisions.
- Collaborate across actuarial, risk, and algorithmic underwriting teams to strengthen analytics, tools, and data-driven capabilities, including development of new techniques and approaches to improve underwriting performance.
- Build and maintain strong stakeholder relationships, providing effective challenge and influence at senior levels to support robust and commercially sound decision-making.
- Lead the development and continuous improvement of actuarial tools, frameworks, and processes, including areas such as inflation assumptions, benchmarking, and performance monitoring capabilities.
- Ensure robust governance, documentation, audit trails, and compliance with actuarial, regulatory, and internal standards across all areas of responsibility.
- Support the ongoing development of actuarial systems, data, and analytics capabilities, ensuring data quality and fitness for purpose.
- Contribute to the wider actuarial function through collaboration, innovation, knowledge sharing, and continuous improvement initiatives.
- Maintain a strong understanding of the end-to-end business and proactively apply emerging trends, techniques, and insights to enhance actuarial output and business impact.
- Represent actuarial in relevant governance forums, providing insight, challenge, and informed judgement.
- Lead, develop, and effectively manage direct reports, ensuring high-quality delivery, appropriate prioritisation, and individual development.


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Requirements
- Qualified Actuary (FIA, FFA or equivalent) with strong general insurance market experience, ideally within Lloyd's or company markets.
- Strong understanding of actuarial disciplines including pricing, reserving, and business planning, and how these interact across a portfolio.
- Experience leading and developing teams, with the ability to prioritise work and manage competing demands.
- Strong commercial acumen with the ability to translate complex actuarial outputs into clear business insights.
- Advanced analytical and technical skills, including proficiency in Excel and experience with programming languages such as Python, R, or SQL.
- Strong communication and stakeholder management skills, with the ability to influence senior stakeholders effectively.
- Innovative mindset with the ability to identify opportunities for improvement and implement change.
- Strong understanding of actuarial governance, regulatory requirements, and professional standards.
βIt took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what Iβve been looking for.β
Jessica, London
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