Logo of Huzzle

Fraud Prevention Data Scientist, Wealth and Retail

Applications are closed

  • Job
    Full-time
    Mid & Senior Level
  • Data
    Software Engineering
  • Edinburgh

Requirements

  • You’ll need a strong academic background in a STEM discipline such as Mathematics, Physics, Engineering or Computer Science. You’ll have experience with statistical modelling and machine learning techniques, as well as the ability to operate with a high degree of independence and feel comfortable working within a geographically distributed team.
  • We’ll also look for you to have experience of developing Tableau or similar data visualisation dashboards to steer business priorities and performance within financial services knowledge, and an ability to identify wider business impact, risk or opportunities and make connections across key outputs and processes
  • You’ll also demonstrate:
  • The ability to use data to solve business problems from hypotheses through to resolution
  • Experience using programming language and software engineering fundamentals
  • Experience of Cloud applications and options
  • Experience in synthesising, translating and visualising data and insights for key stakeholders
  • Experience of exploratory data analysis
  • Good communication skills with the ability to proactively engage with a wide range of stakeholders

Responsibilities

  • You’ll design and implement data science tools and methods which harness our data in order to protect the Wealth and Retail channel
  • We’ll look to you to actively participate in the data community to identify and deliver opportunities to support the bank’s strategic direction and keep customers safe through better use of data
  • This is an opportunity to promote data literacy education with business stakeholders supporting them to foster a data driven culture and to make a real impact with your work
  • As a Data Scientist, you’ll bring together statistical, mathematical, machine-learning and software engineering skills to consider multiple solutions, techniques and algorithms to develop and implement ethically sound models end-to-end
  • We’ll look to you to understand the needs of business stakeholders, form hypotheses and identify suitable data and analytics solutions to meet those needs in order to maximise the protection for Wealth and Retail customers
  • As well as this you'll be collaborating effectively across the Fraud CoE and Data Analytics teams, showcasing experiments, and sharing best practices and techniques by using repository tools such as Gitlab
  • Using data translation skills to work closely with business stakeholders to define detailed business questions, problems or opportunities which can be supported through analytics
  • Applying a software engineering and product development lens to business problems, creating, scaling and deploying software driven products and services
  • Working in an Agile way within multi-disciplinary data and analytics teams to achieve agreed project and scrum outcomes
  • Selecting, building, training and testing machine learning models considering model valuation, model risk, governance and ethics, making sure that models are ready to implement and scale
  • Iteratively building and prototyping data analysis pipelines to provide insights that will ultimately lead to production deployment

FAQs

What is the closing date for applications?

The closing date for applications is 18/11/2024.

Where is the position located?

The position is located in Edinburgh, United Kingdom.

What type of employment is this job offering?

This job is offering a permanent, full-time position.

What skills are required for this role?

The role requires a strong academic background in a STEM discipline, experience with statistical modelling and machine learning techniques, programming skills, and the ability to communicate effectively with stakeholders.

Will I be collaborating with other teams in this role?

Yes, you will be collaborating effectively across the Fraud CoE and Data Analytics teams.

What experience is necessary related to data visualization?

You should have experience developing Tableau or similar data visualization dashboards to steer business priorities and performance.

What is the focus of this role?

The focus of this role is to design and implement data science tools and methods to protect the Wealth and Retail channel from fraud.

Is experience in Cloud applications necessary for this job?

Yes, experience with Cloud applications and options is required.

Can I work from outside the UK?

No, all normal working days must be carried out in the United Kingdom.

What does the role involve in terms of software development?

The role involves applying a software engineering and product development lens to business problems, creating, scaling, and deploying software-driven products and services.

A relationship bank for a digital world. We champion potential.

Finance
Industry
10,001+
Employees
1968
Founded Year

Mission & Purpose

We’re a business that understands when our customers and people succeed, our communities succeed, and our economy thrives. As part of our purpose, we’re looking at how we can drive change for our communities in enterprise, learning and climate. As one of the leading supporters of UK business, we’re prioritising enterprise as a force of change. We’re focusing on the people and communities who have traditionally faced the highest barriers to entry and figuring out ways to remove these. Learning is also key to our continued growth as a company in an ever changing and increasingly digital world. By setting a dynamic and leading learning culture, our people prosper, and our customers are given the tools to continue to improve their financial capability and confidence. One of the biggest challenges we all face in our future is climate change. That’s why we’ve put it right at the core of our purpose. We want to champion climate solutions with financing and entrepreneurial support, fully embed climate into our culture and decision making, and be climate positive by 2025. We’re committed to using our purpose to break down barriers, drive change and ultimately create a great place to work.

Get notified when NatWest Group posts a new role

Get Hired with Huzzle

Discover jobs with AI-powered precision. Autofill and track applications, create tailored resumes, and find the best opportunities across the web – all by simply chatting.

Already have an account?