Data Analyst Global KYC CJE Post Transaction Monitoring

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03 April 2019 ...min read Listen
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Data Analyst Global KYC CJE Post Transaction Monitoring

Employee | Project / Programme management | Professional | Netherlands | South Holland | 2019-04-02 | REQ-10016270

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Your Working Environment

The Global Know Your Customer (KYC) organisation is a new organisation within the COO domain. Their purpose is “Enabling people and organisations to use our banking services by ensuring a compliant and competitive KYC ecosystem.” Through an innovative and transformational approach, financial crimes, such as tax evasion and terrorist financing, are prevented or detected on a global scope. The Global KYC organisation consists of a Centre of Expertise, the Delivery Tribe and KYC Operations. By integrating all KYC related capabilities into one functionally steered organisation, the global implementation and standardisation of the Global KYC Digital Service Platform is supported.

This Platform consists of processes, enhanced controls, shared solutions and optimised operations processing across all of the business lines. The Platform helps us to achieve a more robust KYC environment that will strongly contribute to ING’s overall response towards more stringent regulatory requirements in this area and beyond.

The Global KYC organisation is a 1st line department providing the ING business and functions with guidance, standardised solutions in the area of various KYC related regulations (on process, control, and digital solutions, etc.) as well as support to realize operational excellence.

The Global KYC Delivery Tribe is part of the Global KYC organisation within ING COO. You will be involved with the development of state of the art solutions on socially relevant topics such as Anti-Money Laundering, Counter Terrorism Financing, Fraud, Sanctions and their global implementation across 40+ countries, affecting 36 million ING customers. Through this, we will be able to deliver our customers an optimal KYC experience, whilst remaining compliant and in control of our risks and processes on a global scale. You will be in contact with market leading vendors and thought leaders in their respective domains. As such, you will be working with many colleagues from different disciplines, geographies and backgrounds.

The Global Delivery Tribe consists of Squads, which are built from high-performing teams consisting of 5 to 9 people. Squads are self-steering, autonomous, multi-disciplinary (BusDevOps, or a subset of these disciplines) teams with a fixed mission and purpose and take the full responsibility and ownership of end-to-end processes. Team members are 100% dedicated to the Squad and have preferably all required expertise to deliver their purpose. Squads prioritise their delivery via a backlog.

As a Data Analyst you will be responsible for:

·  Responsible for the execution of look-back & back testing to enable alert scenario optimisation and conduct what if scenario analysis in response to emerging unusual patterns of payment behaviours
·  Responsible for translating alert scenario design into business requirements so as to enable solutions design teams to build automated alert solutions.
·  Responsible for monitoring the integrity of the data feeds into central alert system.
·  Support the design and maintenance of predictive models to enable prioritisation of alerts. In so doing, improve on alert investigation efficiency and effectiveness

Your key responsibilities will be:

·  Solve complex business questions in relation to CAM (Customer Activity Monitoring) with the help of large amounts of data
·  Support the development of Advanced Analytics models applicable to CAM
·  Preparation and combination of data and creating of (interactive) visualisations
·  Try to understand and predict customer behaviour through the use of advanced techniques and machine learning
·  Execute online and offline experiments in the field of customer behaviour
·  Support the design of and maintenance of Advanced Analytics models for daily use
·  In-depth analysis of data and translate the outcomes into concrete improvement suggestions in the field of CAM
·  Initiate, develop and execute innovation programs in the field of data science

Your profile, experience:

·  Master of science degree
·  2 – 5 years relevant working experiencewithin the banking industry (preferably with transaction data)
·  Strongly developed analytical and conceptual skills, enabling you to understand the data
·  Capable of looking to the business outside-in and with a birds-eye view
·  Capable to translate your analysis and explain them to your colleagues
·  Hands-on knowledge and experience of analytical tools (data warehouses, data bases and data analytics tools such as WD, SQL, Oracle, SAS, Hive, R and Python
·  In-depth knowledge of data warehouse concepts, -platforms and –designs and experience with building data warehouses
·  Flexible and capable of mastering new data-analysis tools and methods quickly
·  Possess working knowledge in the field of Financial Crime Threats and typologies so as to enable an informed view of anomalous patterns of payment behaviours

This is a full time position, location the Hague. Please click the link to apply directly.

For more information please contact Alicja Gador ( )

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