[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"job-intern-finance-data-analytics-ing-bank-nv-singapore-de-sg":3},{"id":4,"slug":5,"title":6,"description":7,"company":8,"is_featured":12,"featured_until":7,"is_active":13,"deactivated_at":7,"is_enriched":13,"processed_job_posting_json":14,"processed_latitude":57,"processed_longitude":59,"processed_employment_types":61,"processed_working_hours":62,"processed_working_hours_labels":64,"processed_home_office":65,"processed_salary_min":54,"processed_salary_max":55,"processed_salary_currency":51,"processed_salary_source":66,"processed_benefits":67,"processed_benefits_labels":76,"processed_industry":77,"processed_skills":7,"processed_job_location":78,"processed_full_address_gmaps":80,"processed_street_gmaps":82,"processed_city_gmaps":83,"processed_postal_code_gmaps":84,"processed_country_gmaps":85,"processed_country_iso_code_gmaps":86,"full_description":18,"formatted_description":88,"processed_employment_types_labels":25,"processed_home_office_labels":23,"processed_industry_labels":27,"processed_it_skills":89,"processed_it_skills_labels":93,"processed_soft_skills":94,"processed_soft_skills_labels":95,"processed_job_expertise_skills":96,"processed_job_expertise_skills_labels":97,"processed_language_requirements":98,"processed_total_experience_years":105,"processed_professional_field":106,"processed_professional_field_labels":109,"processed_leadership_role":12,"processed_date_posted":21,"raw_job_url":110,"apply_url":7,"raw_hiringOrganization_logo_url":7,"translations":7,"canonical_industry_key":111,"canonical_industry_label":112,"max_cpc":113,"actual_cpc":7},93777,"intern-finance-data-analytics-ing-bank-nv-singapore","Intern, Finance Data & Analytics",null,{"name":9,"slug":10,"logo_url":11},"ING Bank N.V. - Singapore","ing-bank-nv-singapore","https:\u002F\u002Fwww.ing.de\u002Fbinaries\u002Fcontent\u002Fgallery\u002Fing-images\u002Fuber-uns\u002Fpresse\u002Fpressebilder\u002Fing_logo-72dpi_rgb.jpg",false,true,{"@context":15,"@type":16,"title":17,"description":18,"hiringOrganization":19,"datePosted":21,"validThrough":22,"jobLocationType":23,"employmentType":24,"industry":26,"skills":28,"baseSalary":49},"https:\u002F\u002Fschema.org\u002F","JobPosting","Intern, Finance Data & Analytics","ING WB Asia Internship Programme 2027 At ING, we're redefining what it means to be a bank, and we're looking for students who are curious, proactive, and eager to make a meaningful impact. If you're excited to learn, challenge the status quo, collaborate with diverse teams, and turn ideas into action, our internship programme offers the opportunity to gain hands-on experience, develop your skills, and contribute to an international organisation that values continuous growth and innovation. Department\u002FFunction: CFO Team: Regional Management Reporting Internship Period: 6 months ; January-Jun About ING Bank We began operating in Singapore in 1987 where we host the regional Asia Pacific headquarters. With over 300 financial experts, we are the largest wholesale banking branch in Asia. ING stands out in the Asia Pacific region because we go a step further for our customers. We look at things from the client’s perspective which allows us to construct tailor-made solutions to fit the needs of every company we serve. This mentality underpins all our client relations and has produced various prestigious awards. Our internship programme offers more than just on-the-job experience. Through structured onboarding, development initiatives, cross-functional networking opportunities, project showcases and an intern alumni community, you'll gain valuable exposure, build meaningful connections and develop skills for your future career. Job Profile Summary ING Wholesale Banking APAC Finance is looking for a motivated Finance Data & Analytics Intern to join our Singapore-based team. This internship sits at the intersection of finance and data, giving you hands-on exposure to how a leading international bank uses Python, data visualisation tools, and analytics to drive decision-making across 10+ APAC markets. You do not need a finance background - we are looking for curious, technically inclined students who are comfortable with data and eager to learn in a fast-paced, multi-market environment.     What will you be doing?    Data & Analytics Support Assist in building and maintaining dashboards in Power BI or Tableau for financial KPI reporting Support data extraction, cleaning, and transformation using Python (pandas, openpyxl, etc.) Help automate routine reporting tasks currently done manually in Excel Run data quality checks and assist in reconciling figures across reporting systems Python & Automation Write and test Python scripts to process and load data from Excel\u002FCSV sources into databases (e.g., SQLite) Assist in scheduling and maintaining existing automation pipelines Document code and workflows for team knowledge transfer Finance Analytics & Reporting Build and maintain automated data pipelines and reporting templates to extract, transform, and distribute MIS data across APAC markets Design and deploy self-service dashboards (Power BI \u002F Tableau) surfacing income, expense, RWA, and client metrics for senior stakeholders Develop scripts and workflows to automate recurring report generation, reducing manual intervention in month-end and quarter-end cycles AI & Digital Initiatives Participate in ING's AI and digitalization projects under the guidance of the APAC Finance AI SPOC Assist in testing and documenting AI-enabled tools and prototypes Contribute ideas on how data workflows can be further automated or improved   What qualities and skills are we looking for?  Must Have Currently pursuing a degree in Data Science, Computer Science, Statistics, Engineering, or related field Proficiency in Python - comfortable writing scripts, using libraries like pandas and numpy, and debugging code Familiarity with Excel - pivot tables, formulas, and basic data manipulation Analytical mindset with attention to detail Good communication skills - able to explain data findings clearly Good to Have Exposure to Power BI, Tableau, or any other data visualisation tool Basic knowledge of SQL or databases (e.g., SQLite, MySQL) Understanding of financial concepts (income statements, KPIs, balance sheet basics) Experience with version control (Git\u002FGitHub) Interest in AI\u002FML applications in a business context What would you gain from this internship?    Real-world exposure to finance analytics in a top-tier international bank Hands-on experience with Python automation, Power BI\u002FTableau dashboards, and SQLite pipelines Mentorship from a team blending finance expertise with advanced data and AI skills Exposure to APAC multi-market financial reporting across 10+ countries A portfolio-worthy project that you can present at the end of your internship Need more information?     For information on ING Wholesale Bank, visit https:\u002F\u002Fwww.ingwb.com\u002F  For information on careers, visit https:\u002F\u002Fwww.ing.jobs\u002FGlobal\u002FCareers.htm    Diversity, Inclusion and Belonging (DIB)   ING’s vision is to unlock our people’s full potential through our inclusive culture where everyone has the opportunity to develop and have impact for our customers and society. To achieve this vision, our policies support diversity, equity, and inclusion. As an equal opportunity employer, we do not tolerate discrimination of any kind with regard to age, gender, gender identity, cultural background, experience, religion, race, ethnicity, disability, family responsibilities, sexual orientation, social origin, or any other status protected by applicable law. If you require any assistance or if we can accommodate you in any way when participating in our application and\u002For interview process, please email the recruiting contact listed for the relevant position. We will be happy to work with you to ensure a fair and accessible process. Read more about our commitment to diversity, inclusion and belonging here. Die ING ist eine globale Bank mit über 60.000 Mitarbeitenden. Wir sind für rund 38 Millionen Privat-Kundinnen und Kunden sowie für unsere Geschäfts- und Firmenkunden in über 40 Ländern da. Wir sind bunt, vielfältig, digital und stolz darauf. Lust uns kennenzulernen? Dich erwartet eine Kultur auf Augenhöhe, flexible Arbeitsweisen und die Chance, mit einem Job wirklich etwas zu verändern. Denn als globale Bank berühren wir das Leben von Millionen Menschen und wir streben danach einen positiven Einfluss auf die Gesellschaft und auf unseren Planeten zu haben. Selbstbestimmtes Arbeiten ist unser täglich Brot: Wir vertrauen unseren Mitarbeitenden und ermutigen sie, ihr Ding zu machen – also ihre Karriere so zu gestalten, wie es für sie am besten ist. Wir sind mehr als ein Arbeitgeber – wir sind innovativ, lösen Probleme, sind immer einen Schritt voraus und setzen uns dafür ein, einen echten Unterschied zu machen. Egal, ob Du gerade Deine Karriere startest oder die nächste große Herausforderung suchst, wir haben viele Jobmöglichkeiten, die Dich inspirieren und über Dich hinauswachsen lassen. Deine Zukunft bei der ING beginnt mit einer Bewerbung. Bist du bereit, Teil der ING zu werden? Wir haben viele Jobmöglichkeiten, die zu Deinen Fähigkeiten und Ambitionen passen! Verwende die Filter unter der Suchleiste, wie Standort und Jobtyp, um die perfekte Stelle zu finden. Starte jetzt mit der Suche und finde heraus, wohin Dich Dein nächster Karriereschritt führen könnte!",{"@type":20,"name":9},"Organization","2026-10-27","2027-10-27","ONSITE",[25],"STUDENT",[27],"Banking and Financial Services",[29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48],"Python","Excel","Power BI","Tableau","SQL","SQLite","Git","GitHub","Analytical mindset","Attention to detail","Communication","Curiosity","Proactiveness","Data Visualization","Data Analysis","Financial Reporting","Data Pipelines","Automation","Financial Concepts","AI\u002FML Applications",{"@type":50,"currency":51,"value":52},"MonetaryAmount","SGD",{"@type":53,"minValue":54,"maxValue":55,"unitText":56},"QuantitativeValue",1000,2000,"YEAR",[58],1.352083,[60],103.819836,"student",[63],"FULL_TIME",[63],"onsite","estimated",[68,69,70,71,72,73,74,75],"Structured onboarding","Development initiatives","Cross-functional networking opportunities","Project showcases","Intern alumni community","Mentorship","Hands-on experience with Python automation, Power BI\u002FTableau dashboards, and SQLite pipelines","Exposure to APAC multi-market financial reporting",[68,69,70,71,72,73,74,75],"banking and financial services",[79],"ing, singapore, singapur",[81],"Singapur",[],[],[],[81],[87],"SG","ING WB Asia Internship Programme 2027\n\nAt ING, we're redefining what it means to be a bank, and we're looking for students who are curious, proactive, and eager to make a meaningful impact. If you're excited to learn, challenge the status quo, collaborate with diverse teams, and turn ideas into action, our internship programme offers the opportunity to gain hands-on experience, develop your skills, and contribute to an international organisation that values continuous growth and innovation.\n\n**Department\u002FFunction:** CFO\n**Team:** Regional Management Reporting\n**Internship Period:** 6 months ; January-Jun\n\n## About ING Bank\n\nWe began operating in Singapore in 1987 where we host the regional Asia Pacific headquarters. With over 300 financial experts, we are the largest wholesale banking branch in Asia. ING stands out in the Asia Pacific region because we go a step further for our customers. We look at things from the client’s perspective which allows us to construct tailor-made solutions to fit the needs of every company we serve. This mentality underpins all our client relations and has produced various prestigious awards.\n\nOur internship programme offers more than just on-the-job experience. Through structured onboarding, development initiatives, cross-functional networking opportunities, project showcases and an intern alumni community, you'll gain valuable exposure, build meaningful connections and develop skills for your future career.\n\n## Job Profile Summary\n\nING Wholesale Banking APAC Finance is looking for a motivated Finance Data & Analytics Intern to join our Singapore-based team. This internship sits at the intersection of finance and data, giving you hands-on exposure to how a leading international bank uses Python, data visualisation tools, and analytics to drive decision-making across 10+ APAC markets. You do not need a finance background - we are looking for curious, technically inclined students who are comfortable with data and eager to learn in a fast-paced, multi-market environment.\n\n## What will you be doing?\n\n### Data & Analytics Support\n\n- Assist in building and maintaining dashboards in Power BI or Tableau for financial KPI reporting\n- Support data extraction, cleaning, and transformation using Python (pandas, openpyxl, etc.)\n- Help automate routine reporting tasks currently done manually in Excel\n- Run data quality checks and assist in reconciling figures across reporting systems\n\n### Python & Automation\n\n- Write and test Python scripts to process and load data from Excel\u002FCSV sources into databases (e.g., SQLite)\n- Assist in scheduling and maintaining existing automation pipelines\n- Document code and workflows for team knowledge transfer\n\n### Finance Analytics & Reporting\n\n- Build and maintain automated data pipelines and reporting templates to extract, transform, and distribute MIS data across APAC markets\n- Design and deploy self-service dashboards (Power BI \u002F Tableau) surfacing income, expense, RWA, and client metrics for senior stakeholders\n- Develop scripts and workflows to automate recurring report generation, reducing manual intervention in month-end and quarter-end cycles\n\n### AI & Digital Initiatives\n\n- Participate in ING's AI and digitalization projects under the guidance of the APAC Finance AI SPOC\n- Assist in testing and documenting AI-enabled tools and prototypes\n- Contribute ideas on how data workflows can be further automated or improved\n\n## What qualities and skills are we looking for?\n\n### Must Have\n\n- Currently pursuing a degree in Data Science, Computer Science, Statistics, Engineering, or related field\n- Proficiency in Python - comfortable writing scripts, using libraries like pandas and numpy, and debugging code\n- Familiarity with Excel - pivot tables, formulas, and basic data manipulation\n- Analytical mindset with attention to detail\n- Good communication skills - able to explain data findings clearly\n\n### Good to Have\n\n- Exposure to Power BI, Tableau, or any other data visualisation tool\n- Basic knowledge of SQL or databases (e.g., SQLite, MySQL)\n- Understanding of financial concepts (income statements, KPIs, balance sheet basics)\n- Experience with version control (Git\u002FGitHub)\n- Interest in AI\u002FML applications in a business context\n\n## What would you gain from this internship?\n\n- Real-world exposure to finance analytics in a top-tier international bank\n- Hands-on experience with Python automation, Power BI\u002FTableau dashboards, and SQLite pipelines\n- Mentorship from a team blending finance expertise with advanced data and AI skills\n- Exposure to APAC multi-market financial reporting across 10+ countries\n- A portfolio-worthy project that you can present at the end of your internship\n\n## Need more information?\n\nFor information on ING Wholesale Bank, visit https:\u002F\u002Fwww.ingwb.com\u002F\nFor information on careers, visit https:\u002F\u002Fwww.ing.jobs\u002FGlobal\u002FCareers.htm\n\n## Diversity, Inclusion and Belonging (DIB)\n\nING’s vision is to unlock our people’s full potential through our inclusive culture where everyone has the opportunity to develop and have impact for our customers and society. To achieve this vision, our policies support diversity, equity, and inclusion. As an equal opportunity employer, we do not tolerate discrimination of any kind with regard to age, gender, gender identity, cultural background, experience, religion, race, ethnicity, disability, family responsibilities, sexual orientation, social origin, or any other status protected by applicable law. If you require any assistance or if we can accommodate you in any way when participating in our application and\u002For interview process, please email the recruiting contact listed for the relevant position. We will be happy to work with you to ensure a fair and accessible process. Read more about our commitment to diversity, inclusion and belonging here.\n\nDie ING ist eine globale Bank mit über 60.000 Mitarbeitenden. Wir sind für rund 38 Millionen Privat-Kundinnen und Kunden sowie für unsere Geschäfts- und Firmenkunden in über 40 Ländern da. Wir sind bunt, vielfältig, digital und stolz darauf. Lust uns kennenzulernen? Dich erwartet eine Kultur auf Augenhöhe, flexible Arbeitsweisen und die Chance, mit einem Job wirklich etwas zu verändern. Denn als globale Bank berühren wir das Leben von Millionen Menschen und wir streben danach einen positiven Einfluss auf die Gesellschaft und auf unseren Planeten zu haben. Selbstbestimmtes Arbeiten ist unser täglich Brot: Wir vertrauen unseren Mitarbeitenden und ermutigen sie, ihr Ding zu machen – also ihre Karriere so zu gestalten, wie es für sie am besten ist. Wir sind mehr als ein Arbeitgeber – wir sind innovativ, lösen Probleme, sind immer einen Schritt voraus und setzen uns dafür ein, einen echten Unterschied zu machen. Egal, ob Du gerade Deine Karriere startest oder die nächste große Herausforderung suchst, wir haben viele Jobmöglichkeiten, die Dich inspirieren und über Dich hinauswachsen lassen. Deine Zukunft bei der ING beginnt mit einer Bewerbung. Bist du bereit, Teil der ING zu werden? Wir haben viele Jobmöglichkeiten, die zu Deinen Fähigkeiten und Ambitionen passen! Verwende die Filter unter der Suchleiste, wie Standort und Jobtyp, um die perfekte Stelle zu finden. Starte jetzt mit der Suche und finde heraus, wohin Dich Dein nächster Karriereschritt führen könnte!",{"git":90,"sql":90,"excel":91,"github":90,"python":92,"sqlite":90,"tableau":91,"power bi":91},2,3,4,[29,30,31,32,33,34,35,36],{"analytical mindset":92,"attention to detail":92,"communication":91,"curiosity":91,"proactiveness":91},[37,38,39,40,41],{"automation":91,"data analysis":91,"data pipelines":90,"ai\u002Fml applications":90,"data visualization":91,"financial concepts":90,"financial reporting":90},[42,43,44,45,46,47,48],{"detected_language_jobad":99,"required":100},"en",[101],[102],{"language":103,"level":104},"ENGLISH","C1",0,[107,108],"Finance","Data Analytics",[107,108],"https:\u002F\u002Fing.wd3.myworkdayjobs.com\u002Fde-de\u002Ficsgblcor\u002Fjob\u002Fsingapore\u002Fintern--finance-data---analytics_req-10123860","banking","Banking",1]