Data Analyst AML/KYC

1 month ago

Taguig, Philippines ING Business Shared Services B.V. Full time

DATA ANALYST

Your role and work environment

You will be a Data Analyst assigned to support Global KYC, which is a relatively new organization in which all KYC related capabilities are combined into a functionally steered organization. This is with the aim to maintain and improve the effective & efficient management of ING's AML/Financial Economic Crime (FEC) risks, e.g. by establishing standardized guidance, processes, technology and shared operational processing.

The CDD and KYC Control domain ensures that ING has a state-of-the-art CDD practice in place, is effectively and efficiently managing the CDD risk and operations and the overall KYC Retail and Wholesale risk across countries to improve both effectiveness and efficiency. It includes definition of the CDD Target Operating Model, in a way to comprise all AML/ KYC related policies and implement this as a global standard across the world, the oversight of the bank wide CDD business as usual (BAU) activities, including operational execution across Retail and Wholesale (service ownership). Within that domain, the CDD Business Intelligence & Operational Management lead is responsible for the CDD Service management activities, Management information and defining a long-term vision, strategy & solution on data & MI.

The data analysts are part of the of the team of the Global CDD Business Intelligence & Operational Management lead, who reports into the CDD Operations Legal Entities lead and with a dotted line into the CDD Operations Private Individuals Lead. Locally you are part of the Regulatory Operations functional domain, where you report into the local CDD Business Intelligence & Operational Management Leads for your daily activities and priorities. As part of this team you will be assigned to a key focus area across the different CDD Wholesale Banking or CDD Retail Banking segments.

As a Data Analyst you'll be responsible for activities that support the creation of dashboards and reports and the analysis of data in support of decision making. Furthermore there will be direct involvement for selective scope in supporting some of the key KYC Operational processes. With this, you are working in an area where data & operations converge. In this position you play a key role in supporting the AML/KYC strategy and execution, as well as in supporting the ING's global data management strategy by providing business insights through the analysis of data across the bank.

Your key responsibilities

As Data Analyst AML / KYC:

  • Management information on production, quality, recruitment pipeline, realization of efficiency ambitions, centralization to enable operational management and steering
  • Operational management & steering information as input to (senior) management
  • Capacity planning for ING Hubs locations and for in-country operations
  • Provide central support to various KYC processes, including but not limited to: Event Driven Review, offboarding initiation, Access management, standalone process initiation
  • Define & execute long term vision and approach (including strategic operational MI solutions) for shared cockpit servicing all client types and segments in order to move away from tactical solutions (Excel/Access based reporting solutions) into a more robust, advanced and future proof reporting solution
  • Drive (fact-based) decision making on all levels (strategical, tactical, and operational). This means for instance performing analysis from overall ING-perspective and provide scenarios to decision makers
  • You analyse complex Data issues that go beyond squad and/or tribe boundaries, with a view to designing complete solutions.
  • You collect relevant data, analyse and report. You clean up and process raw data, correlate different types of data and are able to recognize patterns.
  • You interpret data, analyse results and deliver excellently substantiated data analyses using standard techniques and tools, which lead to improved business decisions or better data quality.
  • You work with large amounts of data: facts, figures, and number crunching. You will need to see through the data and analyse it to find conclusions. This by data-mining activities, in-depth data analysis, validating by combining and interpreting data.
  • You will work with different functional teams to plan and execute on special projects or initiatives that aim to promote increased effectiveness and efficiencies.

We are looking for an energetic and driven expert with passion for data (management) and with strong analytical capabilities who uses state-of-the-art methods and techniques for data analysis. You have integral, domain-exceeding knowledge Data Analysis in one or more areas of the banking business.

You are an excellent communicator and able to build bridges between different stakeholders. You are able to convincingly put forward your proposals and are a real team player in reaching broad agreement on the road to follow. In this way, you can contribute to delivering standardised, uniform and fully adapted solutions to complex business issues and processes.

Skillset:

  • You have a college degree in e.g. Mathematics, Computer/Data Science, Information Management or Statistics
  • You have integral, cross-domain knowledge and experience
  • Attention to Detail: Data is precise. You make sure you are vigilant in your analysis to come to correct conclusions
  • You are a strong communicator and are able to present your analyses in a clear manner
  • Excellent English written and verbal communication skills
  • You have knowledge of and experience in Data Analysis in the financial services industry
  • You can create your impactful Data story via report and/or dashboard in Power BI or Cognos.
  • Basic skills in Python or R is good to have.
  • You actively keep up your professional knowledge and translate external trends into applicable knowledge
  • You take responsibility to get the work done
  • You actively ask for help and feedback and are not afraid to give feedback
  • You easily adapt to a new environment

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