2026 APAC Long Internship (Jul - Dec) – Securities Services, Digital Transformation – Singapore

Internship Opportunity: 2026 APAC Long Internship (Jul - Dec) – Securities Services, Digital Transformation

BNP Paribas in Asia Pacific is a leading international financial institution with a long-standing presence since 1860. The group offers a wide range of financial services, including corporate and institutional banking, wealth management, asset management, insurance, and retail banking through strategic partnerships. APAC is a key strategic region for BNP Paribas, with ongoing growth across markets.

BNP Paribas offers an exciting career in an international, fast-paced, diverse environment focused on high-value client relationships. The program provides opportunities to work on digital transformation initiatives with competitive salary and benefits.

Location: Singapore

Duration: 6 months

Start date: July 2026

For: Undergraduate students in any discipline from a recognized university

Candidates with more than one application will not be processed. Review the different business lines and working locations before applying.

What you will do

The Digital Transformation & AI‑Automation Business Analyst Intern will support the end‑to‑end solutioning led by the Digital Transformation Lead for the Securities Services franchise. Working at the intersection of business analysis, data science, and automation, the intern will help shape AI‑enabled and self‑service solutions that streamline securities processing, custody, and clearing operations. A core component of the role is design thinking, ensuring that every solution is built around real‑world user needs and communicated clearly through high‑impact PowerPoint presentations.

Key Responsibilities

Design‑Thinking & Workshop Support

• Co‑facilitate design‑thinking workshops (empathise, define, ideate, prototype, test) under the guidance of the Digital Transformation Lead and with business, risk, and technology stakeholders.
• Capture personas, journey maps, problem statements, and solution concepts specific to securities services (e.g., settlement, custody, reporting).
• Organise and maintain workshop artefacts in the team knowledge base for ongoing solution development.

Business Analysis & Requirements Engineering

• Work with product owners and front‑office teams to elicit, document, and prioritise functional and non‑functional requirements for AI and automation initiatives.
• Translate business needs into clear user stories, acceptance criteria, and data‑flow diagrams.

AI & Data‑Driven Solution Enablement

• Assist the Digital Transformation Lead in piloting AI tools (e.g., LLMs for client query handling, predictive models for trade‑settlement risk) addressing securities‑services pain points.
• Prepare concise demo scripts, user guides, and training snippets aligned with the senior leader’s solution vision.

Client Self‑Service & Process Automation

• Contribute to the adoption of digital self‑service portals, chat‑bots, and workflow automation bots enabling custodial and clearing clients to perform routine tasks.
• Gather and analyse client feedback, usage metrics, and operational data to recommend refinements for senior review.

Technical Prototyping & Experimentation

• Build quick‑proof‑of‑concept scripts in Python or SQL to query data, call APIs (including LLM endpoints), and stitch together data pipelines.
• Explore low‑code/visual‑coding platforms (Power Automate, UiPath StudioX, AppSheet) to prototype automation flows that feed into the solution pipeline.

Data Analysis & Reporting

• Produce dashboards and analytical reports (Power BI, Tableau, or similar) that track pilot performance, adoption rates, and business impact.

Presentation & Communication

• Create high‑quality PowerPoint decks that summarise workshop outcomes, solution concepts, pilot results, and business case analyses for senior leadership.
• Deliver briefings and visual presentations to both technical and non‑technical audiences.

Upskilling & Knowledge Sharing

• Develop short learning assets (slide decks, cheat‑sheets, quick‑start videos) to raise AI, data‑engineering, and automation literacy across the Securities Services team.
• Support the internal AI/Automation Community of Practice by curating best‑practice resources and documenting lessons learned.

Technical & Behavioral Competencies

Education

Currently pursuing a Bachelor’s or Master’s degree (or equivalent) in Business Analytics, Data Science, Data Engineering, Business Administration, or a related field.

Business & Domain Insight

• Strong interest in securities services (custody, clearing, settlement) and understanding of how these processes support corporate and institutional clients.

Data Literacy

• Familiarity with data‑analysis tools (SQL, Excel, Power BI/Tableau) and basic concepts of data engineering (ETL, data modelling, data quality).

Design‑Thinking Expertise

• Solid grasp of design‑thinking methodology with demonstrable experience in facilitating or contributing to design‑thinking workshops (internship, student project, hackathon, coursework).

Technical Foundations (basic and preferred)

• Ability to write simple Python scripts (e.g., data extraction, API calls) and work with RESTful APIs.
• PowerPoint proficiency to design clear, visually compelling presentations for senior stakeholders.

Communication

• Strong written and verbal communication skills; able to translate between business requirements and technical artefacts.

Attention to Detail

• Proven track record of producing accurate documentation, user stories, and analytical reports.

Preferred Experience & Skills

• Experience leading or co‑leading design‑thinking workshops in a business or academic context.
• Hands‑on exposure to low‑code/visual‑coding platforms (Power Automate, UiPath StudioX, AppSheet, etc.).
• Experience with Large Language Models (OpenAI, Anthropic, etc.) and prompt engineering for pilot experiments.
• Familiarity with agile or scrum development processes.
• Additional language proficiency (e.g., French, German) is a plus.

Desired Personal Attributes

• Curiosity & Passion: Genuine enthusiasm for innovation, digital transformation, AI, and data‑driven decision making within securities services.
• Collaborative Mindset: Comfortable working with senior leadership and cross‑functional teams (business, technology, risk, compliance).
• Proactive Learner: Takes initiative to acquire new skills and shares knowledge with peers and mentors.
• Adaptability: Thrives in a fast‑moving environment and balances multiple priorities without compromising quality.

Learning Opportunities

• Direct exposure to the Digital Transformation Lead’s strategic roadmap for AI‑enabled securities‑services solutions.
• Mentorship from senior technologists, product owners, and business leaders who own the solutioning agenda.
• Hands‑on experience designing and prototyping automation and AI tools that may be scaled across the bank’s securities‑services platform.
• Opportunities to present work to senior stakeholders and influence real‑world business outcomes.