ING Hubs Philippines
Financial Services
BusinessAnalyst-USSpark
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Business Analyst - US Spark at ING Hubs Philippines. Skills: Data management, Data modelling, Financial reporting. Focus on data management. Focus on data requirements”
Industry & Context.
Analytical; Take decisions based on data; Take decisions based on facts
Some overlap with US time zone
What They're Looking For.
Must Have
University degree in economics, Affinity with IT, Knowledge of Finance, Knowledge of assets, Knowledge of tooling, Proficient level of SQL, Proficient level of MS Excel, Understanding of Data Modelling, Experience with Change delivery, Experience in Regression testing, Experience in User Acceptance testing, Experience building data requirements, Experience maintaining data requirements, Excellent communication skills in English
Nice to Have
Hands on knowledge of Financial Markets, Hands on knowledge of Group Treasury, Hands on knowledge of Lending products, Prior experience with FED reporting, Familiarity with US accounting policies
What You'll Do.
Focus on data management
Focus on data requirements
Focus on data definition
Focus on data mapping
Focus on data onboarding
Focus on data modelling
Participate in a squad
Deliver necessary knowledge
Deliver necessary skills
Support deliveries towards stakeholders
Perform reconciliation
Perform operational requests
Analyze FED reporting requirements
Analyze internal reporting needs
Translate requirements into data needs
Translate requirements into non-functional specifications
Collaborate with data modelers
Collaborate with data engineers
Contribute to UAT plans
Create test scenarios
Ensure regulatory compliance
How You'll Work.
Team & Collaboration
Close collaboration with ING colleagues; Work across diverse teams; Work in a multidisciplinary squad; Ask for help; Ask for feedback; Give feedback; Connect with colleagues; Cooperation; Sharing knowledge
Communication Scope
Excellent Communication skills; Written communication; Present work
Process & Methodology
Agile way of working
Full Job Description
Business Analyst - US Spark **Background on what ING is about:** ING Hubs Philippines (ING Hubs PH) is an international part of the ING organization delivering services to many Business Units across the world for both Wholesale Banking and Retail Banking activities. Working for ING Hubs PH means working with the most diverse workforce and where no challenge is the same. At ING our purpose is to empower people to stay a step ahead in life and business. We believe that sustainable progress is driven by people with the imagination and determination to make a better future for themselves and those around them. ING is changing what banking is. For you, that means plenty of opportunities for personal growth in a continuously evolving environment. If this is the environment you thrive in, then apply and join us in changing the future of banking! **Key Responsibilities** Are you passionate about data? We are and see it as our mission to provide best in class data to our Domain & the rest of ING. We deliver one complete and consistent source of truth of Finance and Risk data made available for analysis, accounting, and reporting through the data pipeline. We develop and support data management capabilities to execute and improve data and Data Management within ING. We support "running the bank" and business initiatives with the assets in the tribe. The Tribe Granular Reporting (GR) provides correct and harmonized data for its processing and to enable the change from report-driven to data-driven, while also enabling department to manage its end-to-end data flow in a structured and standardized way. We are looking for a committed data believer who is willing to help us lead ING towards that data-driven future. Do you understand that data helps build top notch models and ensures proper reporting to regulators? Then we are looking for you! What you will be doing: In this role, you will focus on data management, data requirements, data definition & mapping, data onboarding and da
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