Internal Audit Data Analyst

Hello, we’re Starling. 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. 

We're looking for our first Data Analyst to join our growing Internal Audit team. You will help Starling to protect its assets, reputation and sustainability as it continues on its growth path and delivers fantastic products and services.

The successful candidate will be passionate about making a real impact to the Bank's controls and business processes because this is key to our mission.  The successful candidate will report to the Head of Technology Audit who reports to the Group Head of Internal Audit (SMF5). This role is open to candidates based in either London or Manchester. 

Your responsibilities will include:

• Build and lead Internal Audit’s data analytics strategy and capability.  
• Collaborate with Internal Audit colleagues to identify how best to use data analytics techniques in Internal Audit.
• Using the existing audit universe, identify audit tests that can be completed using data analytics techniques (either testing within an ongoing audit, or stand alone testing). 
• Complete these tests aiming for 100% sample coverage by defining the hypothesis to test,  accessing the required data, executing the test, and refining the test results to identify true exceptions.  
• Manage a library of repeatable tests.  
• Help train Internal Audit colleagues to use data analytics techniques themselves.  
• Collaborate with business areas to help improve their automated testing.

Requirements

• Data analyst with a high level of ability in using tools such as Google Looker, Qlikview, Python and R (Anaconda), Tableau, SQL, Cognos, and MS Excel. 
• Successful track record of innovative use of data analytics to prove or disprove hypotheses. 
• Not essential, but prior experience working in either an Internal Audit department, and/or a UK regulated bank.
• Understanding of emerging technologies such as Artificial Intelligence, Machine Learning, and Robotic Process Automation.
• Experience of working in a fast paced, nimble yet highly regulated environment.

Benefits

• 25 days holiday (plus take your public holiday allowance whenever works best for you)
• An extra day’s holiday for your birthday
• Annual leave is increased with length of service, and you can choose to buy or sell up to five extra days off
• 16 hours paid volunteering time a year
• Salary sacrifice, company enhanced pension scheme
• Life insurance at 4x your salary
• 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
• 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 and Salary Sacrificed Gym partnerships

About Us

You may be put off applying for a role because you don't tick every box. Forget that! While we can’t accommodate every flexible working request, we're always open to discussion. So, if you're excited about working with us, but aren’t sure if you're 100% there yet, get in touch anyway.

We’re on a mission to radically reshape banking – and that starts with our brilliant team. Whatever came before, we’re proud to bring together people of all backgrounds and experiences who love working together to solve problems.

Starling Bank is an equal opportunity employer, and we’re proud of our ongoing efforts to foster diversity & inclusion in the workplace. Individuals seeking employment at Starling Bank are considered without regard to race, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, physical or mental disability, military or veteran status, or any other characteristic protected by applicable law.

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