Job Introduction
Handelsbanken is a relationship bank built on trust, long-term thinking and local decision-making. We provide bespoke banking and wealth management services to personal and corporate customers,
Our decentralised model means decisions are made close to the customer, in our branches. Our central Functions teams play a vital role in supporting the branch network, providing the expertise, governance and infrastructure that enable branches to serve customers effectively and sustainably.
This approach had underpinned our success for decades. Handelsbanken is independently recognised as one of Europe’s safest commercial banks, holds the strongest credit rating among its peers and is consistently ranked highly for customer satisfaction and relationship banking.
Our culture is values-led, shaped by trust, respect, and long-term thinking. We empower our people to use their expertise, make confident decisions and build long-term careers. We look for people who share our long- term vision, want to grow and want to make a meaningful impact in their local community and with the Bank
Check our Handelsbanken website for further information
The opportunity
This role is based in the Financial Crime Prevention (FCP) Management Information (MI) and Reporting team in Manchester. The team is responsible for a range of FCP-related activities including analytics, MI and reporting and process optimisation through the use of data and systems. We provide data and analytics services to a variety of stakeholders including FCP Operations, Financial Crime Compliance, senior management, and regulators and Group & Swedish equivalents.
The role holder will work with various data sets within the SQL Server UK Data Warehouse and end user-generated data in Excel and flat files. The role includes analysing data to identify patterns and trends, providing data analytics support to financial crime operations and projects, and the development and production of regular and ad-hoc reporting for various audiences.
Key responsibilities
- To develop a detailed understanding of the FCP business area including a comprehensive appreciation of the data landscape and how this relates to process, system interactions and data source quality.
- Coding of data transformation and integration processes to support analytics and reporting.
- Development of BI and MI dashboards and reports in the FCP area, in particular interactive and self-serve apps using tools such as Tableau, QlikView or PowerBI.
- Supporting process change within the operational and data & systems teams, in particular using IT solutions to improve the collection, processing and management of data within the department’s operational processes.
- Defining and maintaining metrics to measure financial crime risk in the bank (key risk indicators) and performance in the business area (key performance indicators).
- Serving as a conduit between the MI team and the business, communicating data-driven insights to non-technical audiences. A good cross over of BI and business skills would be advantageous.
- Operates in line with the Bank's Risk Management framework (including sub-frameworks) and relevant risk and compliance policies and procedures, ensuring appropriate and timely escalation of any concerns to their line manager.
What we’re looking for
Research (by Harvard University) shows that women are particularly likely to second guess themselves and not apply - so if you are worried you don't meet all the criteria, get in touch anyhow and let us do the worrying…
Essential:
- SQL programming, ideally in Microsoft SQL Server
- Data transformation and data manipulation
- Experience working with multiple disparate data sets
- Strong numerical skills, particularly statistics
Advantageous:
- Experience using BI tools such as QlikView, Tableau, Power BI or similar
- Experience of data modelling
- Experience of developing automated production reporting processes
- Experience of data manipulation and analysis in a programming language such as Python, R or SAS
- Experience in the Microsoft BI stack (SSMS, SSRS, SSAS)
- Advanced Excel knowledge and skills
Key areas:
- Statistics, mathematics or computer science-related qualification or relevant experience.
- Excels at interpreting non-technical users requirements and turning in to valuable business insights while identifying opportunities for improvement.
- Excellent communication skills (verbal/written and interpersonal) working with multiple technical and non-technical stakeholders with an ability to explain complex topics in understandable simple terms.
- Excellent analytical and problem solving skills to transform and interpret complex multiple datasets delivering statistically rigorous insight.
- Ability to work alongside a wider distributed team.
- Agile experience would be advantageous and use of agile tools such as Jira, Azure DevOps etc.
- Excellent attention to detail.
Why join Handelsbanken
We want everyone at Handelsbanken to feel supported, motivated, and able to do great work. That’s why, alongside brilliant colleagues, meaningful work and training and development opportunities, we provide a variety of benefits designed with your wellbeing in mind.
In addition, there is a flexible benefits package with the key highlights detailed below.
Application next steps
Your journey with us begins once you have submitted your application. One of our Handelsbanken Talent Acquisition Partners will be reviewing your details and will later organise a phone conversation if your experience aligns with our requirements, we will extend an invitation for you to participate in an interview.
This advert will be live for a minimum of two weeks. However, please note that after the two weeks, the closing date could change at any time depending on the number of responses received.
The Bank is deeply committed to embedding good equality and diversity practice into all of our activities. This is so that we are an inclusive, welcoming and inspiring place to work that encourages everyone to apply, regardless of socio-economic background, age, disability, pregnancy and/or parental status, race (including colour, nationality, and ethnic or national origin), veteran status, marital and civil partnership status, religion or belief, sex, gender reassignment or sexual orientation.
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