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Open nowPosted 50 days ago

Software Engineering Intern (People Team)

VT Markets39 open roles

Where
Singapore
Work mode
On site
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Your applicationOpen nowSoftware Engineering Intern (People Team)VT Markets · Singapore
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The clock on this job

Early applications get read.

12.1% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
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  2. 4.5%3 days
  3. 12.1%7 days
  4. 19.1%14 days
  5. 35.6%30 days
  6. 52.7%60 days
This job: posted 50 days ago

The posting

Job description

About Us: VT Markets is an award-winning multi-asset brokerage trusted by over 3 million traders in over 160 countries with 500 employees - and growing. Founded in 2015 with the mission to make trading accessible to everyone, VT Markets offers a robust trading environment, over 1000 tradeable instructions, ultra-low spreads, and lightning-fast execution. We are committed to providing excellent customer service and empowering modern trades to seize market opportunities. Our platform allows traders to trade anytime, anywhere, supporting them in their journey to build a safe financial future.

Your Role in VT Markets: As a Software Engineer Intern (People Depatment), you will report to the Organizational Development Manager within the Centre of Excellence (COE) sub-department, based in Singapore with potential exposure to our global operations across 7 regions. You will work closely with the OD team, regional HRBPs, and the Quality & Capability Development team to drive data-driven HR initiatives and support our AI transformation journey. This role is critical in establishing robust HR analytics capabilities, automating HR processes, and building the foundation for AI-augmented workforce management as we scale from 480 to 750+ employees by end-2026.

Your Responsibilities

AI and Data Management:

  • Manage AI-power internal platforms & talent dashboards, including features optimization, knowledge base management, prompt optimization and debugging technical problems
  • Develop proof-of-concepts for automating repetitive HR processes using no-code/low-code platforms
  • Develop internal knowledge base, documentation and training materials for AI tool adoption across the HR department
  • Refresh & clean market talent database on GCP; optimize data management practice

Systems Integration & Automation Initiatives:

  • Assist in optimizing HiBob HRIS configurations and workflows across productivity systems via Webhook, API and/or MCP
  • Map current HR processes and identify automation opportunities to reduce administrative burden
  • Support global payroll implementation projects by maintaining data mapping documents
  • Collaborate with IT team on HR systems integration projects

Internship Availability

  • Minimum commitment of 3 months, but longer commitment would be preferred (i.e. 6 months).
  • Full-time commitment is preferred, but those who are able to commit to a minimum of 2 working days are welcome to apply.
  • Able to start from October 2026

What Makes You a Great Fit

Job Experience & Education:

  • Currently pursuing or recently completed a Bachelor's/Master's degree in Computer Science, Software Engineering, Artificial Intelligence, Data Science, Information Technology, or a related technical discipline.
  • Previous internship experience in HR, data analytics, or business intelligence is advantageous
  • Demonstrated academic or project experience with data analysis and visualization
  • Detail-oriented with the ability to handle confidential information.

Technical and Functional Skills:

  • Proficiency in Excel (advanced formulas, pivot tables, data modeling) and data visualization tools (Power BI, Tableau, or similar)
  • Basic understanding of HRIS platforms (HiBob experience is a plus) and HR metrics/KPIs
  • Familiarity with AI tools (ChatGPT, Claude, or similar) and enthusiasm for exploring AI applications in HR

Soft Skills:

  • Strong analytical mindset with attention to detail and ability to identify patterns in complex datasets
  • Excellent communication skills to translate data insights into actionable recommendations for non-technical stakeholders
  • Self-motivated learner with curiosity about emerging HR technologies and willingness to experiment with new tools
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