Business / Data Analyst For Credit Risk Data Remediation

at ING
πŸ“ Manila, Philippines
USD 70,000-90,000 per year
MIDDLE
βœ… On-site
βœ… Visa Sponsorship

SCRAPED

Used Tools & Technologies

Not specified

Required Skills & Competences ?

Python @ 3 SQL @ 3 Communication @ 3 Dashboarding @ 3 Data Analysis @ 3

Details

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.

Responsibilities

  • Perform historical default data analysis, data collection, and data enhancement for wholesale banking portfolios.
  • Ensure complete and correct default and LGD related data for modeling starting from data capturing to data delivery.
  • Develop and implement processes and working instructions.
  • Hold responsibility for KPI tracking and dashboarding.
  • Support teams in managing ad-hoc requests.
  • Coordinate onsite inspections by regulators.
  • Work in a team to ensure complete and correct credit and risk data for current default cases.
  • Work on process improvements and coordinate ongoing remediation projects.
  • Support planning backlog management of remediation teams.
  • Interact regularly with credit risk officers and front office staff.

Requirements

  • Basic understanding of Wholesale Banking lending products.
  • Experience in credit risk, data management, data quality, or related financial services fields.
  • Ability to read and understand loan documentation and identify default event terms.
  • Affinity for technology and ability to analyze and work with data using Excel, VBA, Access, Python, SQL, SAS, or other tools.
  • Strong analytical mindset, attention to detail, ability to work independently and collaboratively.
  • Excellent communication and stakeholder management skills.
  • Working knowledge of credit risk concepts including PD, LGD, and EAD.
  • Relevant experience with new definition of default policies and forbearance default indicators is a plus.

Minimum Qualifications

  • Background in wholesale banking lending, credit risk, credit restructuring, and refinancing processes.
  • Strong written and oral communication skills in English.
  • Critical and analytical thinking with a proactive attitude to completing tasks.