Data Scientist, RBWM Digital

HSBC

New Street, Birmingham

Apply

Before you apply - don't miss out!

Subscribe to our weekly job alert

By registering you agree to our terms & conditions and privacy policy.

You can unsubscribe anytime using the link in the bottom of the email.

You will receive an email asking you to confirm your subscription

This role sits within RBWM Data and Analytics CoE, a Global organization that specializes in providing state of art analytics and solutions to the RBWM Business. The function supports Product, Channel, Pricing, Digital and several other areas within RBWM. The department has more than 300 Machine Learning Users and are building this capability with several use cases. Opportunity to leverage advanced analytics to solve business problems and scale these capabilities.

This role reports into the Assets Analytics Manager. You’ll be responsible for working with the Assets analytics team to deliver best in class analytics that supports the business in making critical decisions across various strategies. Here you will work in partnership with key stakeholders across UK RBWM banking and propositions and group to understand business strategy and how advanced analytics can help drive actions with relevant insights and analysis.

The Data Scientist role is accountable for generating actionable insights into areas such as customer behaviours, commercial performance and profitability across key strategies in order to identify opportunities to create business value. They will be familiar with techniques such as correlation tests, hypothesis tests, machine learning, cluster analysis, data mining and visualization and can use them to drive actionable insights for the business

Key responsibilities include:

  • Partnering with key stakeholders in product teams, risk and finance to deliver value for the UK RBWM consumer assets business through data, analysis, reporting and insight. Harnessing the value that is available from robust information in relation to commercial performance and customer behaviours across products and strategies
  • Design and execute robust testing framework across products and customer segments to help us build significant insights around customer behaviour and business performance
  • Develop or deploy predictive models which aid decision making and helps us tailor appropriate products, offers and services to customers that meet their borrowing needs
  • Oversee the development of programs which automate data collection, assimilation, aggregation and visualisation.
  • Lead on various analytics projects which originate from regulatory requirements and ensure robust data and insights are provided by maintaining highest standards of quality and timeliness
  • Develop a robust cycle of performance review for key programs across products and identify improvement opportunities. This will cover key strategies across asset products – cards, loans and mortgages
  • Constantly review and explore advanced analytics opportunities for deployment in current business strategies driving a positive impact on customer engagement and commercial performance

Qualifications

To be successful in this role you should meet the following requirements:

  • Extensive experience in analytics in consumer banking/finance or large data environment areas which credit card product experience
  • Experience working in large and complex organizations such as Amazon, Google, Expedia, Tesco, etc. in a Retail/Operational space
  • Strong understanding of customer behaviour and profitability drivers of consumer lending products such as cards, loans or overdrafts
  • Proven knowledge and experience of SQL and other Database/Data Manipulation tools
  • Subject Matter expertise in advanced analytics techniques
  • Good working knowledge of analytics tools – Python/R/SAS/SPSS/STATA
  • Experience working in agile environments and use of appropriate tools (JIRA, Confluence)
  • Proven ability to deliver strategy improvements using data and analytics improving business outcomes
  • Ability to drive appropriate prioritization of projects amidst a large number of requirements
  • Effective communicator with excellent interpersonal skills
  • Strong commercial acumen skills and understanding of business performance drivers
  • Subject matter expertise in advanced analytics and machine learning
  • Ability to create business insights from rapid analysis of complex data
  • Highly numerate and financially literate
  • Able to operate effectively in a complex matrix driven environment

The base location for this role is Birmingham, we are also happy to consider candidates who can be based from our Sheffield, Leeds or Chester site. In this role you will have the option to work from home 1-2 days per week.

You’ll achieve more when you join HSBC.

At HSBC we look to enable our employees to better balance their work / life priorities and have the flexibility required to meet challenging needs as they progress through different life stages. Where possible we will consider the following flexible working options: part-time working, job sharing, term-time working, and working from home and staggered hours. If in considering a role with HSBC you have a need for some flexibility in your working arrangements please discuss this with the recruitment team in the early stages of the application process.

HSBC is committed to building a culture where all employees are valued, respected and opinions count. We take pride in providing a workplace that fosters continuous professional development, flexible working and opportunities to grow within an inclusive and diverse environment.
Personal data held by the Bank relating to employment applications will be used in accordance with our Privacy Statement, which is available on our website.
As a business operating in markets all around the world, we believe diversity brings benefits for our customers, our business and our people. This is why HSBC UK is committed to being an inclusive employer and encourages applications from all suitably qualified applicants irrespective of background, circumstances, age, disability, gender identity, ethnicity, religion or belief and sexual orientation.

We want everyone to be able to fulfil their potential which is why we provide a range of flexible working arrangements and family friendly policies.


Apply

Before you apply - don't miss out!

Subscribe to our weekly job alert

By registering you agree to our terms & conditions and privacy policy.

You can unsubscribe anytime using the link in the bottom of the email.

You will receive an email asking you to confirm your subscription

Not what you're looking for?

Use our search to find your ideal career opportunity

Search term is required
No jobs were found
Total of [[ totalJobs ]] jobs were found

[[ jobs.name ]]

[[ jobs.location ]]
[[ jobs.salary_min|decimals ]] - [[ jobs.salary_max|decimals ]]
[[ jobs.posted_time_friendly ]]

Featured Jobs

London School of Economics

London, UK

September 01, 2019

The Royal College of Obstetricians and Gynaecologists (RCOG)

London, NW1

September 11, 2019

Tui

Luton, UK

September 20, 2019

The Royal College of Obstetricians and Gynaecologists (RCOG)

London, NW1

September 11, 2019

Health Economics and Outcomes Research

Cardiff

August 31, 2019

Care Quality Commission

September 10, 2019

Tui

Luton, UK

September 12, 2019

Behavioural Insights Team

Central London

September 09, 2019

University of Glasgow

Glasgow, Scotland

September 03, 2019

PayPal

London, UK

August 29, 2019

Our Partners

Logo for Dstl
Logo for Prifysgol
Logo for Bank Of England
Logo for Cma
Logo for Frontier
Logo for Logo
Logo for Mit Logo

Like what you see?

Post a job