Risk Data Analyst Full Time

“Previously Startups of London has featured Starling Bank in our article The Complete List of Unicorn Startups in the UK 2022.

You can also click on the company name above or go to their company page from here and learn more about their culture, business and management.

As for the role; Starling Bank is looking for a Risk Data Analyst to join their company. Learn more about the role, requirements as well as benefits in the below description. Click on the Apply Now button to complete job application.”

– Startup of London Team

The Role

We are on a mission to radically reshape banking – and that starts with our brilliant team.

We are proud to bring together people of all backgrounds and experiences who love working together to solve problems. Due to the rapid growth of the bank, a new role has opened up in Risk Management Function to support and drive the development of risk data and analytics capability across the risk management teams.

This role will be responsible for supporting the risk team with their ever-expanding data requirements. Those in the role will be expected to translate risk requirements into queries and produce analyses, datasets, and reports housed within Starling’s data warehouse.

Responsibilities

Specifically, the requirements that the role holder is expected to support include

• Data sourcing, manipulation, cleansing, and datasets creation;
• Data transformation and visualisation including analysis, interrogation, and interpretation of data patterns and trends;
• Data analysis, interpreting and reporting clearly and concisely on the results of this analysis;
• Creation of standardised data queries to allow customisation of reports;
• Creation of regular datasets and reports that are used for ongoing risk assessment or regulatory submissions;
• Customisation and maintenance of those reports so that they take account of Starling’s ever-changing data landscape;
• Development of ad-hoc queries required for risk investigations;
• Documentation of all risk data requirements including the status of completeness and working with the first-line business to meet those requirements.

Fulfilling a typical request will involve

• Identifying and gathering the data required with the relevant risk subject matter expert;
• Identifying all the relevant pieces of data items including key attributes that are required to fulfil that request within the Starling data warehouse, liaising with the data team as necessary;
• Building a risk data model and associated queries to allow data interrogation and dataset creation for further analysis or reporting.
• Building a query that creates a dataset that meets the requirements, and working with the business to persist that if it is for a regular report
• Confirming that the data represents what it is supposed to represent using tests spot checks, and other techniques
• Iterating over this process until the requirement is met
• Ensuring that the datasets are properly documented, with definitions given to each of the elements within it.

Requirements

The successful candidate should have the following skills and experience

• Technical background in data analytics, statistics, or similar discipline and/or may have experience in quantitative financial analysis;
• Ability to analyse, interrogate, manipulate and interpret data patterns and trends;
• Experience with statistical analysis or data manipulation packages such as SQL and Python is essential;
• Previous experience with business intelligence solutions and big data analytics platforms such as Looker is desirable;
• Good understanding of risk data requirements across a wide variety of risk functions, including credit, financial, capital, liquidity, operations, and financial crime.
• Ability to translate risk business requirements into queries that can be run in the data warehouse;
• Good understanding of a bank’s balance sheet and P&L and credit and financial risk data requirements;
• Ability to handle requests from multiple different sources and prioritising them appropriately;
• Good understanding of data regulations (such as GDPR) and associated good practices in the handling of data;
• Excellent communication and report-writing skills with the ability to liaise and engage with various stakeholders who maintain or have requirements of data (2nd line of defence risk team, data engineering, etc.)
• Excellent team player with enthusiasm and energy, able to deliver under tight deadlines.

Benefits

• 33 days holiday (including public hols). You’ll also get your birthday on us
• 16 hours of paid volunteering time a year
• Family-friendly leave policies
• Private Medical Insurance with VitalityHealth
• We have many varied social groups set up and run by our employees – ForTheWin (a gaming group), Starling FC, book club, and many more!
• Discounts on cinema tickets, restaurants, shopping, and train tickets via a Perkbox membership
• Access to ‘salary sacrifice’ benefits such as Cycle to Work scheme
• Gym membership options
• Season ticket travel options

About us

We are a leading digital bank on a mission to disrupt the banking industry. We’ve built an app with innovative money management tools to help our customers live healthier financial life. We also offer groundbreaking B2B banking and payments services.

Since our launch in 2014, we’ve opened almost three million accounts including 480,000 business accounts for small and medium-sized enterprises (SMEs).

We’re a fully licensed UK bank and we have the culture and spirit of a fast-moving, disruptive technology company. We’ve been voted Best Current Account for the last five years running, named Which? Banking Provider of the Year for the previous two, we were the most switched-to bank in 2021. We employ more than 1,800 people across our London, Southampton, and Cardiff offices.