Munich Re on cord

Munich Re

Finance Data Scientist

External position
London, UK
Hiring internally for Munich Re?
Insurance
Pushing the boundaries of insurability to help the world advance with confidence.
Posted
a month ago
Checked
cord regularly checks that external positions are still open
2 hours ago

Skills & Experience

Job roles: Data Scientist
Experience level: Mid, Senior
Core skills considered: Power BI, SQL, R, Databricks, Data Analysis
Other skills considered: Data Modeling, Data Pipelines, Data Warehousing, Data Visualisation

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

Support and enable the transformation of the finance and actuarial function by applying data science techniques to financial data, automating manual processes, and building predictive and analytical models and dashboards that clearly communicate insights to stakeholders. Working closely with IT and cross-functional business partners, you will help collect, organise and analyse data from various sources, identify opportunities to automate and streamline existing processes, and leverage capabilities from across the Munich Group, including advanced use of Databricks, for local implementation.

To support the finance and actuarial function's evolution into a data-driven function, applying data science techniques to financial data and driving process automation, to improve forecasting, decision-making, reporting and operational efficiency across the business.


Responsibilities


Data & Analytics

  • Collect, organise and analyse large financial and actuarial data sets from various sources to derive insights that inform business decisions.
  • Build predictive models to identify key financial risk factors, improving forecasting and decision-making accuracy.
  • Develop analytical models to identify data quality issues, trends and exceptions in financial data, strengthening reporting accuracy.

Automation & Process Improvement

  • Review existing financial and actuarial processes to identify opportunities to automate manual work and eliminate duplication.
  • Design and build automated data workflows, leveraging Databricks to create scalable pipelines that reduce reliance on manual, Excel-based processes.

Stakeholder Engagement

  • Collaborate with finance and actuarial teams to identify areas where data-driven insights and automation can improve their operations.
  • Develop dashboards and reports in Power BI that clearly communicate insights to stakeholders.
  • Stay up to date with industry trends and emerging technologies that could impact data, analytics and automation practice in the insurance industry.

Governance & Controls

  • Work with the IT team to ensure that financial data is stored and analysed securely.
  • Maintain clear documentation of data sources, processes and models to support audit, governance and knowledge-sharing.
  • Follow data quality and control standards when handling financial and actuarial data.

Knowledge and Skills


Essential

  • Technical background in Finance, Actuarial Science, Data Analytics or a related field
  • Practical experience with Power BI, SQL, R and Databricks
  • Solid understanding of financial and/or actuarial processes and data
  • Analytical, critical thinker with a problem-solving attitude
  • Strong communication skills, able to translate complex data and analysis into clear, actionable insights for both technical and business stakeholders

Desirable

  • Experience in General Insurance
  • Exposure to data governance, data quality or documentation practices
  • Relationship management: ability to partner and influence at all levels within an organisation

Behavioural Attributes

  • Analytical and curious
  • Innovation mindset with a proven record of process improvement and automation
  • Proactive and collaborative, comfortable working across teams and functions

Education and Professional Qualifications Required / (preferred)

  • Required: Degree in Finance, Actuarial Science, Data Analytics, or a related quantitative field
  • Preferred: Professional accountancy or actuarial qualification (newly qualified/part-qualified)
Finance Data Scientist at Munich Re
Position posted a month 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
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