Makati, Philippines
41 days ago
Business Analyst - Credit Risk Data Remediation

Description

Business Analyst – Credit Risk Data Remediation

Background on what ING is about (Generic ING background):

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!

Job Overview

COO  Risk  sits  right  at  the  heart  of  the  Bank’s  complexity.  We  translate  our  rather complex   banking   business   exposures   into   impact   on   risk   weighted   assets   and provisions    in    line    with    the    constantly    changing    business    desires    and    the latest regulatory  requirements.  We  are  an  integral  part  of  the  Credit  Risk  Modelling organization  where  we  manage  our  processes  from  credit  risk  modeling  approach definition  all  the  way  up  to  postproduction  monitoring.  We  hereby  offer  a  unique opportunity  to enter  one  of  Europe’s  most  appealing  Banks  at  a  key  position  that enables you to contribute, collaborate and grow!

In a nutshell, it is all about collaboration and understanding the end to end complexity of  the  Bank  in  particular  it’s  products  and  related  credit  risk  exposures  [including corresponding processing activities and the way these are underpinned with state of the art technology solutions]. If you have a natural drive to collaborate and a sense of urgency to conclude and deliver we would be very keen to get in touch!

Key Responsibilities  

We are looking for a Consultant within the Default remediation and Loss Given Default (LGD) data team. The team focuses on ensuring complete and correct default and LGD related data for modelling purposes starting from data capturing to data delivery.

The role is twofold as it is focused on performing historical default data analysis, data collection, and data enhancement for the wholesale banking portfolios,  in  line  with latest  internal and external regulation  related to ING  Definition  of Default policy  and LGD model estimation. You will further help management to develop and implement processes   and   working   instructions,   hold   responsibility   for   KPI   tracking   and dashboarding  as  well  as  support  the  teams  in  managing  ad-hoc  requests  and  help coordinating onsite inspections by the regulator

You  perform  historical  data  remediation  for  default  cases  within  the  Wholesale Banking  portfolio  (including  Large  Corporates,  Commercial  Property  Finance, Project Finance, Lease, Trade Commodity Finance, Object Finance).You  work  in  a  team  of  experts  which  are  all  involved  in  ensuring  complete and correct C&R data for current default cases in the WB portfolio in LGD lab (via standalone C&R tool).You work on process improvements and help management to coordinate the ongoing remediation projects.You support in managing the planning backlog of the remediation teamsYou support management in delivering on ad-hoc requests You closely interact with your colleagues within the COOR and WB area, who are  using  your  remediated default data,  in  order  to  build  the  WB  credit  risk models (for RWA, ECAP and IFRS9).You have regular interaction with the GCR account managers and FO involved for the respective (problem) loans.

Key Capabilities/Experience

We  are looking  for  professionals  to  perform  historical  default  data  analysis,  data collection, and data enhancement for the wholesale banking portfolios as mentioned above, in line with latest internal and external regulation related to ING Definition of Default policy  and  LGD  model  estimation.  Knowledge  in  both  front  office  banking processes  as  well  as  the  restructuring  and  refinancing  processes  and  cashflow  and transactions of separate loans/facilities processes is preferred.

Candidates:

should optimally have working knowledge of new definition of default policies and related (forbearance) default indicators and triggers; should be fully able to understand and reconcile transactions (actual account statement and GL-entries) with very high accuracy on facility level and identify key transactions based on month-to-month outstanding differences;should have basic understanding of Wholesale Banking regular lending products;should have working knowledge of collateral processes within banks especially but not limited to the knowledge of real estate finance and validation of real estate; should  have  (in-depth)  understanding  of  wholesale  banking  in  terms  of  front office, restructuring and recovery processes; should be willing to take on coordinative and project management related tasksshould have experience inworking with Non Performing Loans and have affinity with risk data and associated PD, LGD and EAD models; should be able to read and understand loan documentation and identify terms and condition in line with the default events of each NPL;should have excellent and writing skills for evidence-based documentation.

Minimum Qualifications

We are looking for pro-active candidates with background in wholesale banking lending, credit  risk,  credit  restructuring  and  refinancing  processes.  Good  writing  and  oral communication  skills  are  a  must  (primarily  English).  The  candidate  has  critical  and analytical mind and willing to get the job done.

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