Customer Journey Expert

4 days ago

Makati City, National Capital Region, Philippines ING Full time

Purpose


Do you want to play an essential role in ensuring the good reputation of ING, and be in the first line of defense against money laundering and terrorist financing? Currently we are looking for a Customer Journey Expert within the Data & Analytics department in ING Hubs Philippines. 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 20+ 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.

Job Profile

As a Data Readiness Customer Journey Expert, you will analyze data from +20 countries which will be consuming multiple services (eg. Transaction Monitoring, Customer Due Diligence, Customer Screening) and will also communicate in the appropriate level with relevant business/technical stakeholders from these countries. You will also have to support the definition and follow up on the milestones of Data Roadmaps related to these countries.

To ensure that the data of our ING customers is efficiently handled, the data analyst defines and ensures that the requirements and controls are in place to guarantee that the right data with the right quality out of 20+ countries is available to the different applications.

As a Customer Journey Expert:



• You help ING prevent Money Laundering and Financial Crimes globally;

• You solve complex IT problems and challenges;

• You analyze business requirements for the development of products and services

• You are always looking to optimize and automate processes and data, knowing how to include quality by design;

• You simplify solutions and processes in a complex and fragmented IT landscape and tell the story clearly to various international stakeholders;


• You stimulate cross-border interaction and alignment between people, Tribes, Squads, Chapters, FO organisations, Local KYC activities and Service organisations;

• You ensure compliance with ING's policies and standards;

• You refine stories in a straightforward and executional way to optimize velocity;

• You give and ask for constructive feedback;

• You build the bridge between business and IT

We are looking for:

• You have a minimum Bachelor's Degree (IT, Engineering, Maths or Economics/Business);

• You have a minimum of 3+ years of working experience in IT process and/or tooling implementation (Consulting experience is a big plus);

• You have participated in realizing regulatory/processes changes and translating regulatory requirements into functional designs and/or processes (experience within the areas of Financial Economic Crime, Anti Money Laundering or Compliance is a plus);

• You are an energetic & approachable professional;

• You focus on delivery through collaboration, ability to bring people together to work towards the same purpose

• You take responsibility, steer strategy and realizations based on facts and data, managerial courage to ask questions and make decisions

• You can easily "switch context" – so you are able to drive multiple (and distinct) topics during the day within an Agile environment where change is constant;

• You are a strong analytical and abstract thinker;

• You have strong communication, presentation, networking and influencing skills;

• You are articulate – fluent in English (speaking and writing)

• You share and adhere to the ING values of honesty, prudence and responsibility

• Experience with data management (data flows, data analysis, data integration, data quality, data governance)

• Experience with (at least) basic querying for checking large sets of data

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