Data Analyst (WB) Integrated NFR Team, Non-Financial Risk Management
AME (Amsterdam - Maple)
It’s reporting and data analyses– but not only that! For the recent integration of Wholesale NL in the ING Netherlands we are looking for a data analyst.
Do you want a lot of variety and do you want to contribute to relevant and interesting topics and emerging risks risks , such as Fraud, Cyber, GenAI, Sustainability for our Wholesale customers and organization? Then come and support our Tribe and become the compass and radar on non-financial risks for ING NL.
The key role of Non-Financial Risk (NFR) is to advice, challenge and monitor ING NL’s adherence to NFR policies and procedures and manage Operational and IT risks. NFR management defined its ambition to be the strategic business partner enabling ING NL’s Horizon ’28 strategy and empowering ING NL to be compliant by desire and design. To achieve this NFR wants to be amongst others an impactful, data-driven, risk-based, forward looking and pro-active risk management organization. Recently Wholesale NL became part of the ING NL scope. To shift towards more data driven capabilities and to integrate Wholesale in our NFR risk management, NFR is expanding its team with Data Analysts.
As a Data Analyst within NFR you will play a key role in executing NFR’s new strategy by supporting the data driven, risk-based way of work enabling an effective and efficient NFR organization.
The Team
You will be part of the Integrated NFR team, which is part of the Tribe NFR ING NL. The team consist of 7 members consisting of both data analysts and NFR specialists. Team members operate as independent consultants in cooperation with the NFR specialists/expert from Operational Risk Management and IT Risk. All Risk management activities will be performed in close alignment with risk specialists/experts from the Group Risk teams, ODCR and the Business Tribes. You will be the expert for Wholesale Banking NL in this team. You will work together Wholesale NL organization, Group NFR and Tribe Data Management. You will report to the Expert Lead of Integrated NFR ING NL.
Roles and responsibilities
With support of your data analyses, reporting, and advice you will increase the efficiency and effectiveness of the Non-Financial Risk management, with main focus on the Wholesale NL scope. This consists a.o. of:
Collect, analyze, and interpret large datasets to identify trends, patterns, and insights related to non-financial risks.
Process and integrate both internal and external data sources to enhance risk analysis.
Develop and maintain dashboards and reports to monitor key risk indicators.
Collaborate with cross-functional teams to understand data requirements and deliver actionable insights.
Support non financial risk expert teams in deep dive, independent risk monitoring activities.
Support the development and implementation of risk management strategies and frameworks.
Conduct data quality assessments and ensure data integrity.
Assist in the preparation of risk reports for senior management and regulatory bodies.
Stay updated with industry trends and best practices in data analytics and risk management.
How to succeed
We hire smart people like you for your potential. Our biggest expectation is that you’ll stay curious. Keep learning. Take on responsibility. In return, we back you to develop into an even more awesome version of yourself. So as an all-round data consultant you have the following traits and experience:
Have a passion for data
Are curious and proactive
Proven ability to change data into (steering) information
Have the capacity to learn new content quickly
Have good communication skills and know how to make your results understandable for the NFR experts
Have good documenting skills
Have a helicopter view, but also have attention to details
Have the skills to function independently, effectively and in good collaboration
Your technical skills and track record:
An university Master degree in a quantitative direction and/or have proven yourself in this working field
More than 5 years of working experience
Proven experience as a Data Analyst, preferably in the banking or financial services industry.
Experience in data analysis tools and software (e.g., SQL, Excel)
Experience with data visualization tools (e.g., Power BI, Cognos).
Excellent analytical and problem-solving skills.
Knowledge of non-financial risk management principles and practices is a plus.
Fluent Dutch and English language skills
Rewards & benefits
We want to make sure that it’s possible for you to strike the right balance between your career and your private life and reward our people with a generous benefits offer and employment conditions.
Questions?
Contact Sunaina Joseph from recruitment team for more information about this role. Want to apply directly? Please upload your CV and motivation letter by clicking the “Apply” button.
Please note, multiple interview steps involving various business stakeholders will be part of the selection process.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Banking Data analysis Data Analytics Data management Data quality Data visualization Excel Generative AI Power BI Radar SQL
Perks/benefits: Career development
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