Ki Insurance on cord

Ki Insurance

Algorithm Engineering Manager

External position
London, UK
Hiring internally for Ki Insurance?
InsurTech
Risk, simplified.
Posted
a week ago
Checked
cord regularly checks that external positions are still open
18 hours ago

Skills & Experience

Job roles: Engineering Manager
Experience level: Lead, Leadership
Core skills considered: Agile, Python, Cloud Computing, Machine Learning, Building Teams
Other skills considered: Technical Direction, Data Architecture, Data Pipelines, Scrum

Logistics

Base salary: Undisclosed
Some companies on cord are unable to disclose salaries publicly due to internal company policies. Message the company for salary information.
Employment type: Permanent
Remote working: Hybrid
Visa sponsorship: Not available

Job Description

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. Together, we'll answer questions like: How can we organise our algorithm engineers for the greatest impact? And how can we share our company's future vision clearly with our team to help them shape the direction of algorithm engineering?

We're a multi-disciplined, commercially-focused team that brings together deep expertise in specialty insurance and scalable algorithm product development. Our squads focus on delivering high-impact features, and we favour a highly iterative, analytical approach. We love discovering new possibilities, so we actively invest time in research and development, both internally and with leading academic institutions.


What you will be doing: 🖋️

  • 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. Advise, counsel, and educate executives and management on their competitive or financial impact.
  • Help shape and execute Algorithm Engineering team's strategy.
  • Work with the algorithm and engineering leadership to shape the architecture across algo related domains and their interfaces with the rest of the engineering org and seek to reduce complexity and solve problems through it.
  • Ensure that Ki is well positioned to explore new algorithmic underwriting strategies, and exploit emerging technologies.
  • Help senior leadership to understand algorithm engineering capabilities and use to develop Ki's product and strategy and guide investment to support this strategy.
  • Work with colleagues to create and iterate governance processes around model lifecycle management, advocating and upholding model management best practices.
  • Liaise with stakeholders to structure and evolve the roadmap for Ki's Underwriting Algorithm.
  • Managing and building a high-performance Algorithm Engineering team, influencing the hiring and development strategy of the team.
  • 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 (a 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.
  • 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.
Algorithm Engineering Manager at Ki Insurance
Position posted a week ago

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Starling Bank on cord

Starling Bank

Full Stack Engineer (ML Ops)

London, UK
FinTech · Banking · Finance
A better bank for everyone
Active
over 6 months ago
Responds to
0% of requests
Responds in
1h 55m
Requests
7 pending

Skills & Experience

Job roles: Full Stack
Experience level: Mid, Senior
Core skills considered: Java, React, Redux, AWS, JavaScript

Logistics

Base salary: £70K - £110K
Employment type: Permanent
Remote working: Hybrid (up to 2 remote days p/w)
Visa sponsorship: Not available

Job Description

Starling is the UK’s first and leading digital bank on a mission to fix banking! Our vision is fast technology, fair service, and honest values. All at the tap of a phone, all the time.

Starling is the UK’s first and leading digital bank on a mission to fix banking! We built a new kind of bank because we knew technology had the power to help people save, spend and manage their money in a new and transformative way.

We’re a fully licensed UK bank with the culture and spirit of a fast-moving, disruptive tech company. We’re a bank, but better: fairer, easier to use and designed to demystify money for everyone. We employ more than 3,000 people across our London, Southampton, Cardiff and Manchester offices.

Our technologists are at the very heart of Starling and enjoy working in a fast-paced environment that is all about building things, creating new stuff, and disruptive technology that keeps us on the cutting edge of fintech. We operate a flat structure to empower you to make decisions regardless of what your primary responsibilities may be, innovation and collaboration will be at the core of everything you do. Help is never far away in our open culture, you will find support in your team and from across the business, we are in this together!

The way to thrive and shine within Starling is to be a self-driven individual and be able to take full ownership of everything around you: From building things, designing, discovering, to sharing knowledge with your colleagues and making sure all processes are efficient and productive to deliver the best possible results for our customers. Our purpose is underpinned by five Starling values: Listen, Keep It Simple, Do The Right Thing, Own It, and Aim For Greatness.

Hybrid Working

We have a Hybrid approach to working here at Starling - our preference is that you're located within a commutable distance of one of our offices so that we're able to interact and collaborate in person. We don't like to mandate how much you visit the office and work from home, that's to be agreed upon between you and your manager.

Our Data Environment

Our Data teams are excited about the value of data within the business, powers our product decisions to improve things for our customers and enhance effective and agile decision making, regardless of what their primary tech stack may be. Hear from the team in our latest blogs or our case studies with Women in Tech.

We are looking for talented data professionals at all levels to join the team. We value people being engaged and caring about customers, caring about the code they write and the contribution they make to Starling. People with a broad ability to apply themselves to a multitude of problems and challenges, who can work across teams do great things here at Starling, to continue changing banking for good.

Requirements

We have built our entire banking platform in house and mostly in Java. We are looking for people who want to work on building the tooling that is used by our engineers on a daily basis.

We are looking for people who are truly full stack, and are as comfortable polishing their javascript front end as they are debugging the innards of their java applications database interactions, or standing up infrastructure with terraform. We are looking for people who can:

  • Design REST apis.
  • Code backend services, ideally using Java, or another other server side compiled language.
  • Develop modern front ends, ideally using React and Redux.
  • Get their code into the cloud and support it there, ideally on AWS.
  • Believe in clean coding, simple solutions, automated testing and continuous deployment.
  • Like to take ownership of a feature from the original idea through to live.
  • Think (like us) that a small number of empowered developers is the right way to deliver software.

Company Benefits

  • 33 days holiday (including flexible bank holidays)
  • An extra day’s holiday for your birthday
  • 16 hours paid volunteering time a year
  • Part-time and/or flexible hours available for most roles
  • Salary sacrifice, company enhanced pension scheme
  • Life insurance at 4x your salary
  • Hybrid/remote working
  • Private Medical Insurance with VitalityHealth including mental health support and cancer care. Partner benefits include discounts with Waitrose, Mr&Mrs Smith and Peloton
  • Generous family-friendly policies
  • Varied social groups set up and run by our employees
  • Perkbox membership giving access to retail discounts, a wellness platform for physical and mental health, and weekly free and boosted perks
  • Access to initiatives like Cycle to Work, Salary Sacrificed Gym partnerships and Electric Vehicle (EV) leasing

Full details are available on our careers site

Interview Process

Interviewing is a two way process and we want you to have the time and opportunity to get to know us, as much as we are getting to know you! Our interviews are conversational and we want to get the best from you, so come with questions and be curious. In general you can expect the below, following a chat with one of our Talent Team:

  • Stage 1 - 30 mins with one of the team
  • Stage 2 - Take home challenge
  • Stage 3 - 90 mins technical interview with two team members
  • Stage 3 - 45 min final with an executive and a member of the people team
Alex Yeates on cord
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