{"id":1211487,"url":"https://alion.io/job/ing-group-data-analyst-credit-risk","title":"Data Analyst (Credit Risk)","company":{"id":3744,"name":"ING Group","domain":"ing.com","url":"https://alion.io/company/ing","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":86,"open_postings":91,"ghost_share":0,"stale_share":0.758,"repost_share":0,"time_to_fill_p50_days":17,"computed_at":"2026-09-25T05:45:01Z"}},"role":"Analytics","role_family":"Analytics","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Manila, Philippines"],"countries":["PH"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":15500,"max_usd":36000,"period":"year","method":"role_country_seniority_unknown","sample_n":9},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"SAS","optional":false},{"name":"SQL","optional":false},{"name":"Confluence","optional":true},{"name":"Git","optional":true},{"name":"GitLab","optional":true},{"name":"Jenkins","optional":true},{"name":"Scrum","optional":true}],"status":"live","first_seen_at":"2026-09-25T04:28:27Z","employer_posted_date":"2026-09-25","last_verified_at":"2026-09-25T20:58:55Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Data Analyst (Credit Risk)\nHelp Shape Better Decisions Through Data\nAt ING, we believe data has the power to simplify complexity and help people stay a step ahead in life and business. We're looking for a Data Analyst (Credit Risk) who enjoys solving complex data challenges, uncovering insights, and helping drive better risk decisions across a global banking environment.\nIf you're passionate about data, thrive in collaborative teams, and enjoy turning information into meaningful outcomes, we'd love to hear from you.\nRole Summary\nAs a Data Analyst (Credit Risk), you will support credit risk model monitoring and validation activities through data analysis, data collection, and data quality management. You'll work with large and complex datasets from multiple source systems, transforming them into reliable data assets that enable risk modelling teams to assess model performance and support important business decisions.\nYou'll collaborate with a diverse group of stakeholders across the bank while contributing to ING's global data management strategy and agile ways of working.\nAbout the Team\nYou will join our Data Analytics team, a group of specialists supporting risk modelling and management reporting across Finance and Risk. Combining expertise in risk analytics, banking processes, and advanced data processing, the team plays a critical role in ensuring high-quality data is available for modelling, reporting, and decision-making.\nWhat You'll Be Doing\nAnalyze and translate credit risk model data requirements into effective data solutions\nDevelop and maintain SAS programs to support data collection activities\nIdentify, investigate, and resolve data quality issues\nCreate and maintain technical documentation for end-to-end data processes\nDeliver high-quality data marts and datasets to model development and validation teams\nRecommend and implement improvements to data collection and processing practices\nPartner with stakeholders to understand evolving data and reporting needs\nWhat We're Looking For\nRequired Skills\nDegree in Mathematics, Statistics, Computer Science, Data Science, Information Management, or a related field\nExperience in data analysis within banking, finance, or credit risk environments\nStrong SQL skills\nStrong SAS (4GL) programming skills\nAbility to analyze complex datasets and draw meaningful conclusions\nStrong problem-solving and communication skills\nHigh attention to detail and commitment to data quality\nAbility to manage priorities and deliver results in a fast-paced environment\nPreferred Skills\nUnderstanding of banking credit processes\nExperience with credit risk modelling concepts such as PD, LGD, EAD, IFRS9, IRB, and Definition of Default\nKnowledge of bank balance sheets and financial reporting\nExperience working in Agile/Scrum environments\nFamiliarity with Bash, Git/GitLab, Jenkins, and Confluence\nWhat We Offer\nA collaborative and inclusive international environment\nOpportunities to work on complex risk and analytics challenges\nContinuous learning and professional development\nExposure to global stakeholders and banking processes\nThe chance to contribute to meaningful decisions that help customers and businesses move forward\nHow to Apply\nClick the application button on our career site and submit your application through Workday. We look forward to learning more about you.\nEqual Opportunity\nDon't meet every single requirement? Apply anyway. Research shows that many talented candidates only apply when they meet all qualifications. If this role excites you, we'd love to hear from you.\nJob Application Safety Reminder\nWe're seeing an increase in fraudulent job offers. To protect yourself, please follow these key guidelines when applying for roles at ING:\nApply only via official ING platforms. ING uses Workday as its internal recruitment system.\nCheck the sender's email carefully. Legitimate communication will only come  and/.\nING will never ask for payments, banking details, or financial information during the recruitment process.\nAbout ING\nWith 65,000 employees and operations in approximately 40 countries, there is no shortage of opportunities for people with initiative who want to help people take a step ahead in life and in business. Do you want to work at the cutting edge of what's possible and at the same time ensure you work with integrity and hold the customer's interests at heart? Do you want to be surrounded by progressive, inspiring, diverse, and supportive colleagues? Then there is no better place to invest your talents than at ING. Join us. Apply today.","description_format":"text","description_chars":4587,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Continuous learning","Professional development"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Commercial & Retail Banks","Investment Banking & M&A Advisory"],"lifecycle":[{"event":"open","at":"2026-09-25T04:28:27Z"}],"liveness":{"score":63,"band":"ok","label":"Likely open","p_open":1,"p_active":0.632,"p_room":1,"age_days":0,"expected_fill_days":17,"reasons":["conf:1","stale_co","velocity","win:early","comp:brand"],"computed_at":"2026-09-25T05:45:01Z"},"pay":null,"html_url":"https://alion.io/job/ing-group-data-analyst-credit-risk","json_url":"https://alion.io/job/ing-group-data-analyst-credit-risk.json","meta":{"generated_at":"2026-09-26T00:58:45Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":930,"day_limit":5000,"remaining_today":4070,"minute_limit":60,"resets_at":"2026-09-27T00:00:00Z"}}}