[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"job-compliance-analytics-insights-uob-indonesia-de-id":3},{"id":4,"slug":5,"title":6,"description":7,"company":8,"is_featured":11,"featured_until":7,"is_active":12,"deactivated_at":7,"is_enriched":12,"processed_job_posting_json":13,"processed_latitude":69,"processed_longitude":70,"processed_employment_types":71,"processed_working_hours":72,"processed_working_hours_labels":74,"processed_home_office":75,"processed_salary_min":66,"processed_salary_max":67,"processed_salary_currency":63,"processed_salary_source":76,"processed_benefits":77,"processed_benefits_labels":78,"processed_industry":79,"processed_skills":7,"processed_job_location":80,"processed_full_address_gmaps":82,"processed_street_gmaps":84,"processed_city_gmaps":85,"processed_postal_code_gmaps":86,"processed_country_gmaps":87,"processed_country_iso_code_gmaps":88,"full_description":17,"formatted_description":90,"processed_employment_types_labels":36,"processed_home_office_labels":34,"processed_industry_labels":38,"processed_it_skills":91,"processed_it_skills_labels":94,"processed_soft_skills":95,"processed_soft_skills_labels":96,"processed_job_expertise_skills":97,"processed_job_expertise_skills_labels":98,"processed_language_requirements":99,"processed_total_experience_years":106,"processed_professional_field":107,"processed_professional_field_labels":109,"processed_leadership_role":11,"processed_date_posted":21,"raw_job_url":110,"apply_url":7,"raw_hiringOrganization_logo_url":7,"translations":7,"canonical_industry_key":79,"canonical_industry_label":38,"max_cpc":111,"actual_cpc":7},88878,"compliance-analytics-insights-uob-indonesia","Compliance Analytics & Insights",null,{"name":9,"slug":10,"logo_url":7},"UOB Indonesia","uob-indonesia",false,true,{"@context":14,"@type":15,"title":16,"description":17,"hiringOrganization":18,"datePosted":21,"validThrough":22,"jobLocation":23,"jobLocationType":34,"employmentType":35,"industry":37,"skills":39,"baseSalary":61},"https:\u002F\u002Fschema.org\u002F","JobPosting","Compliance Analytics & Insights","Company: 3111 UOB Indonesia About UOB United Overseas Bank Limited (UOB) is a leading bank in ASEAN with a global network in Southeast Asia, Asia Pacific, Europe and North America. Operating through our head office in Singapore and banking subsidiaries in China, Indonesia, Malaysia, Thailand and Vietnam, we have a global network of about 430 branches and offices in 19 markets. At the heart of UOB is our culture, shaped by the UOB Way and anchored on our four values – Honourable, Enterprising, United and Committed. For more than 90 years, these values have guided how we do right by our customers, collaborate with one another and create long-term value for the communities we operate in. As One Bank, we are committed to helping our colleagues build sustainable careers grounded in purpose, supported by strong values, and enriched with meaningful opportunities to grow. Job Description Create, build, and maintain the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of sources Deliver high-quality, production-ready data pipelines that bring and cleanse data from source systems to support AFC model build Implement processes\u002Fsystems to monitor data quality, and drive optimization, testing and tooling to improve data quality Design and\u002For evaluates open source or vendor tools to be used for data lineage mapping Make sure info\u002Fdata flow from system to system is correct Liaise closely with relevant stakeholders (e.g., Data Management Office) to identify and assess suitability of data for AFC models Liaise with Business Analyst and ensure assembled data sets used for model build meet business requirements Support Data Scientist(s) in developing model narratives by providing inputs from a data perspective (e.g., data requirements, data availability) Support Data Scientist(s) in ongoing testing of models\u002Foutputs during development, prior to more formal model validation by an independent team Create a model deployment pipeline to automate deployment of models in UOB’s environments\u002Fsystems, and work closely with Data Scientist(s) in the Modelling team and other stakeholders (e.g., Group Technology and Operations) to ensure models are production ready Ensure the seamless deployment of new AFC analytics solutions and models without breaking anything or creating unintended effects in the production pipeline Identify, design, and implement enhancements for internal process related to data (e.g., optimizing data delivery, redesigning infrastructure for greater scalability) to improve data reliability, efficiency, and quality Performs data analysis required to troubleshoot data related issues and support the resolution of raised data issues Support UOB in adopting and\u002For migrating to new production environment, if needed Job Requirements: 5 – 10 years of experience working in tech industry and 3 – 5 years of experience in a data engineering and\u002For data operations role, ideally in the financial services industry Proficiency in Python\u002FSpark to code complex data engineering use cases Experience in data engineering tools such as Hive\u002FImpala, Oozie, Hadoop, etc. Experience with schema design and dimensional data modeling Experience with robotic process automation (RPA) and their use in disseminating analytics outcomes Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement Experience in deploying and scaling ML\u002FAI models Familiarity with Agile methods and tools like JIRA Ability to create and maintain production ready data pipeline and deployment pipeline Strong people skills and take a big picture approach to planning Strong communication skills to interact with data scientists, business end-users, and possibly external vendors to design and develop data solutions Bachelor’s degree in Computer Science, Computer Engineering, IT, or equivalent Additional Requirements Develop (Competency), Engage (Competency), Execute (Competency), Strategise (Competency) Be a Part of the UOB Family UOB is an equal opportunity employer. UOB does not discriminate on the basis of a candidate's age, race, gender, color, religion, sexual orientation, physical or mental disability, or other non-merit factors. All employment decisions at UOB are based on business needs, job requirements and qualifications. If you require any assistance or accommodations to be made for the recruitment process, please inform us when you submit your online application. Apply now and make a Difference Together, Let’s Build the Future of ASEAN We value our people and invest in them as we look to fulfil our purpose of building the future of ASEAN. We seek to create a collaborative and progressive environment for them to succeed in their careers for the long term. Explore career opportunities with us today. UOB is rated as one of the world's top banks, ranked 'Aa1' by Moody's Investors Service and 'AA-' by both S&P Global and Fitch Ratings. With a global network of 500 branches and offices across 19 countries in Asia Pacific, Europe and North America. In Asia, we operate through our head office in Singapore and banking subsidiaries in China, Indonesia, Malaysia, Thailand and Vietnam, as well as branches and offices throughout the region. Career Site: UOB Career site",{"@type":19,"name":20},"Organization","3111 UOB Indonesia","2026-10-06","2027-10-06",[24],{"@type":25,"address":26,"geo":30},"Place",{"@type":27,"addressLocality":28,"addressCountry":29},"PostalAddress","Zentral-Jakarta","Indonesien",{"@type":31,"latitude":32,"longitude":33},"GeoCoordinates",-6.1805357,106.8280366,"ONSITE",[36],"PERMANENT",[38],"Banking",[40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60],"Python","Spark","Hive","Impala","Oozie","Hadoop","JIRA","Robotic Process Automation (RPA)","Communication","People Skills","Big Picture Thinking","Data Engineering","Data Operations","Schema Design","Dimensional Data Modeling","Root Cause Analysis","ML\u002FAI Model Deployment","Agile Methods","Data Pipeline Development","Data Quality Management","Data Lineage Mapping",{"@type":62,"currency":63,"value":64},"MonetaryAmount","USD",{"@type":65,"minValue":66,"maxValue":67,"unitText":68},"QuantitativeValue",30000,60000,"YEAR",[32],[33],"permanent",[73],"FULL_TIME",[73],"onsite","estimated",[],[],"banking",[81],"3111, jakarta pusat (city area), indonesia",[83],"Zentral-Jakarta, Central Jakarta City, Jakarta, Indonesien",[],[28],[],[29],[89],"ID","Company: 3111 UOB Indonesia\n\n## About UOB\n\nUnited Overseas Bank Limited (UOB) is a leading bank in ASEAN with a global network in Southeast Asia, Asia Pacific, Europe and North America. Operating through our head office in Singapore and banking subsidiaries in China, Indonesia, Malaysia, Thailand and Vietnam, we have a global network of about 430 branches and offices in 19 markets.\n\nAt the heart of UOB is our culture, shaped by the UOB Way and anchored on our four values – Honourable, Enterprising, United and Committed. For more than 90 years, these values have guided how we do right by our customers, collaborate with one another and create long-term value for the communities we operate in. As One Bank, we are committed to helping our colleagues build sustainable careers grounded in purpose, supported by strong values, and enriched with meaningful opportunities to grow.\n\n## Job Description\n\n- Create, build, and maintain the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of sources\n- Deliver high-quality, production-ready data pipelines that bring and cleanse data from source systems to support AFC model build\n- Implement processes\u002Fsystems to monitor data quality, and drive optimization, testing and tooling to improve data quality\n- Design and\u002For evaluates open source or vendor tools to be used for data lineage mapping\n- Make sure info\u002Fdata flow from system to system is correct\n- Liaise closely with relevant stakeholders (e.g., Data Management Office) to identify and assess suitability of data for AFC models\n- Liaise with Business Analyst and ensure assembled data sets used for model build meet business requirements\n- Support Data Scientist(s) in developing model narratives by providing inputs from a data perspective (e.g., data requirements, data availability)\n- Support Data Scientist(s) in ongoing testing of models\u002Foutputs during development, prior to more formal model validation by an independent team\n- Create a model deployment pipeline to automate deployment of models in UOB’s environments\u002Fsystems, and work closely with Data Scientist(s) in the Modelling team and other stakeholders (e.g., Group Technology and Operations) to ensure models are production ready\n- Ensure the seamless deployment of new AFC analytics solutions and models without breaking anything or creating unintended effects in the production pipeline\n- Identify, design, and implement enhancements for internal process related to data (e.g., optimizing data delivery, redesigning infrastructure for greater scalability) to improve data reliability, efficiency, and quality\n- Performs data analysis required to troubleshoot data related issues and support the resolution of raised data issues\n- Support UOB in adopting and\u002For migrating to new production environment, if needed\n\n## Job Requirements:\n\n- 5 – 10 years of experience working in tech industry and 3 – 5 years of experience in a data engineering and\u002For data operations role, ideally in the financial services industry\n- Proficiency in Python\u002FSpark to code complex data engineering use cases\n- Experience in data engineering tools such as Hive\u002FImpala, Oozie, Hadoop, etc.\n- Experience with schema design and dimensional data modeling\n- Experience with robotic process automation (RPA) and their use in disseminating analytics outcomes\n- Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement\n- Experience in deploying and scaling ML\u002FAI models\n- Familiarity with Agile methods and tools like JIRA\n- Ability to create and maintain production ready data pipeline and deployment pipeline\n- Strong people skills and take a big picture approach to planning\n- Strong communication skills to interact with data scientists, business end-users, and possibly external vendors to design and develop data solutions\n- Bachelor’s degree in Computer Science, Computer Engineering, IT, or equivalent\n\n## Additional Requirements\n\n- Develop (Competency), Engage (Competency), Execute (Competency), Strategise (Competency)\n\n## Be a Part of the UOB Family\n\nUOB is an equal opportunity employer. UOB does not discriminate on the basis of a candidate's age, race, gender, color, religion, sexual orientation, physical or mental disability, or other non-merit factors. All employment decisions at UOB are based on business needs, job requirements and qualifications. If you require any assistance or accommodations to be made for the recruitment process, please inform us when you submit your online application.\n\nApply now and make a Difference\n\nTogether, Let’s Build the Future of ASEAN\n\nWe value our people and invest in them as we look to fulfil our purpose of building the future of ASEAN. We seek to create a collaborative and progressive environment for them to succeed in their careers for the long term. Explore career opportunities with us today.\n\nUOB is rated as one of the world's top banks, ranked 'Aa1' by Moody's Investors Service and 'AA-' by both S&P Global and Fitch Ratings. With a global network of 500 branches and offices across 19 countries in Asia Pacific, Europe and North America. In Asia, we operate through our head office in Singapore and banking subsidiaries in China, Indonesia, Malaysia, Thailand and Vietnam, as well as branches and offices throughout the region.\n\nCareer Site: UOB Career site",{"hive":92,"jira":92,"oozie":92,"spark":93,"hadoop":92,"impala":92,"python":93,"robotic process automation (rpa)":92},3,4,[40,41,42,43,44,45,46,47],{"communication":93,"people skills":93,"big picture thinking":93},[48,49,50],{"agile methods":92,"schema design":93,"data operations":93,"data engineering":93,"root cause analysis":93,"data lineage mapping":92,"ml\u002Fai model deployment":93,"data quality management":93,"data pipeline development":93,"dimensional data modeling":93},[51,52,53,54,55,56,57,58,59,60],{"detected_language_jobad":100,"required":101},"en",[102],[103],{"language":104,"level":105},"ENGLISH","C1",5,[108],"Information and Communications Technology",[108],"https:\u002F\u002Fuobgroup.wd3.myworkdayjobs.com\u002Fen-us\u002Fuobexternal\u002Fjob\u002Fjakarta-pusat-city-area\u002Fcompliance-analytics---insights_jr66046-1",1]