Data Analyst (Credit Risk)

at ING
📍 Manila, Philippines
$60,000-80,000 per year
MIDDLE
✅ On-site
✅ Visa Sponsorship

SCRAPED

Used Tools & Technologies

Not specified

Required Skills & Competences ?

Jenkins @ 2 SQL @ 5 Statistics @ 3 Data Science @ 3 Bash @ 2 Communication @ 6 Git @ 2 Mathematics @ 3 Data Analysis @ 3 Reporting @ 3 Agile @ 3

Details

As Data Analyst:

  • Perform thorough analysis and articulation of credit risk model data requirements, identification and understanding of specific data quality issues to ensure effective delivery data to the users using standard tools.
  • You will provide analysis of internal and external regulations (credit risk) and preparation of functional documentation on this basis.
  • 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 identify and define new data improvement opportunities.

We are looking for specialists / experts to join the Data Analytics team to support the processes of building risk models and management reports in the area of finance and risk. We combine knowledge of risk modeling and advanced data processing. We have extensive knowledge of the Bank's processes, which enables us to understand and interpret data for the purposes of modeling and reporting the phenomena accompanying these processes. Our work focuses on data analysis and preparing it for reporting and modeling.

Responsibilities

  • Perform thorough analysis and articulation of credit risk model data requirements.
  • Identify and understand specific data quality issues.
  • Provide analysis of internal and external regulations and prepare functional documentation.
  • Work with large amounts of data, conducting data-mining activities and in-depth data analysis.
  • Identify and define new data improvement opportunities.

Requirements

  • College degree in Mathematics, Computer/Data Science, Information Management or Statistics.
  • Knowledge of and experience in Data Analysis in the area of financial or credit risk.
  • Proficiency in SQL (required).
  • Strong programming skills in SAS (4GL).
  • Ability to interpret data based on collected information and assumptions.
  • Strong communication skills to express ideas clearly and succinctly.
  • Problem identification and analytical skills to find appropriate solutions.
  • Proven ability to complete tasks efficiently, with attention to detail.
  • Ability to adapt to a new environment.

Preferred Skills

  • Understanding of the credit process at the Bank.
  • Experience in credit or market risk modeling (PD, LGD, EAD, IFRS9, IRB).
  • Ability to analyse and understand the Bank's balance sheet.
  • Experience in working with Agile / Scrum methodologies.
  • Familiarity with Bash, GIT/GitLab, Jenkins, Confluence.