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Intern Sovereign Wealth Fund Jobs (NOW HIRING)

About Xora Innovation Xora is a leading global AI and deep tech venture firm backed by Temasek, Singapore's sovereign wealth fund. At Xora, we provide capital and long-term commitment to exceptional ...

... sovereign wealth funds, private banks and fund of funds across the world. We help the largest asset allocators replace spreadsheets and manual work with a single source of truth across their entire ...

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Intern Sovereign Wealth Fund information

What does an intern at a sovereign wealth fund do?

An Intern at a Sovereign Wealth Fund typically supports investment teams with research, data analysis, and reporting on various asset classes such as equities, fixed income, real estate, or alternative investments. Interns may assist in preparing presentations, monitoring portfolio performance, and conducting due diligence on potential investments. The role offers hands-on experience in institutional investing and a chance to learn about global financial markets and large-scale asset management.

What types of projects or tasks can an intern expect to work on at a sovereign wealth fund?

As an intern at a Sovereign Wealth Fund, you can expect to be involved in a variety of projects that support investment analysis, portfolio management, and market research. Typical tasks include assisting with financial modeling, preparing investment reports, analyzing market data, and supporting due diligence for potential investments. Interns often have opportunities to collaborate with experienced investment professionals, attend internal meetings, and contribute to team presentations. This hands-on experience provides valuable exposure to global markets and institutional investment strategies.

What are the key skills and qualifications needed to thrive as an intern at a sovereign wealth fund, and why are they important?

To thrive as an Intern at a Sovereign Wealth Fund, you typically need strong quantitative and analytical skills, a background in finance, economics, or a related field, and current university enrollment or recent graduation. Familiarity with financial modeling, Excel, Bloomberg Terminal, and data analysis tools is often required. Attention to detail, a proactive attitude, and effective communication help interns stand out in a highly collaborative and fast-paced environment. These skills ensure accurate research, valuable insights, and strong support to investment teams managing large-scale assets.

What is the difference between Intern Sovereign Wealth Fund vs Intern Investment Analyst?

AspectIntern Sovereign Wealth FundIntern Investment Analyst
Required CredentialsBasic finance or economics coursework, some may have related internshipsStudying finance, economics, or related fields; some certifications helpful
Work EnvironmentGovernment or state-owned fund offices, often formal and structuredFinancial firms, asset management companies, or banks, dynamic and fast-paced
Employer & Industry UsagePublic sector, government-controlled investment fundsPrivate sector, investment firms, asset management
Common Search & Comparison IntentUnderstanding roles in sovereign wealth fundsExploring investment analysis internships

Intern Sovereign Wealth Fund roles focus on government-managed investment pools, often with a public sector environment. Intern Investment Analyst positions are more common in private firms, emphasizing financial analysis and market research. Both roles require finance-related coursework, but differ mainly in employer type and work setting.

More about Intern Sovereign Wealth Fund jobs

What cities are hiring for Intern Sovereign Wealth Fund jobs?

Cities with the most Intern Sovereign Wealth Fund job openings:

What are the most commonly searched types of Sovereign Wealth Fund jobs?

The most popular types of Sovereign Wealth Fund jobs are:

What states have the most Intern Sovereign Wealth Fund jobs?

States with the most job openings for Intern Sovereign Wealth Fund jobs include:

Infographic showing various Intern Sovereign Wealth Fund job openings in the United States as of August 2026, with employment types broken down into 59% Full Time, 40% Part Time, and 1% Contract. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution.

VP of AI (Xora Portfolio Company)

Xora Innovation

Remote

Full-time

Re-posted 29 days ago


Job description

About 4MP
At 4MP, we are building a new technological foundation for precision manufacturing. Our systems enable CNC machines to self-measure, self-correct, and continuously improve their performance - transforming conventional machine tools into autonomous precision systems.
Backed by Xora Innovation ("Xora") and extensively vetted by recognized experts across industry and government laboratories, 4MP is at the beginning of a category-defining journey. We are transitioning from early development into building a visionary company that will redefine how precision manufacturing is done globally.
About Xora Innovation
Xora is a leading global AI and deep tech venture firm backed by Temasek, Singapore's sovereign wealth fund. At Xora, we provide capital and long-term commitment to exceptional entrepreneurs who are transforming essential industries.
Our investments focus on three key sectors: AI Infrastructure, Applied AI and Deep Tech. We are active as an early-stage venture investor, preferring to enter at the Seed or Series A stage, and remain deeply committed as long-term partners. We also collaborate with founders to form and launch high-velocity startups based on strong market theses.
Xora's portfolio companies include:
Celestial AI (Photonic Fabricâ„¢ technology platform, exited to Marvell Technologies)
Amperesand (next-gen power infrastructure for AI data centers)
Bedrock Robotics (autonomous machines for construction)
Upscale AI (back-end networking for data centers)
Vinci (physics-driven AI for hardware simulation and design)
About the Role
We are seeking a hands-on, visionary VP of AI who can architect, code, build, and lead from the front. You will work directly with the founding leadership team across software, machine physics, geometry, metrology, and data infrastructure to build the intelligence layer for a new category of manufacturing.
Joining at this seed stage means you will have a foundational voice in shaping the company, the technical architecture, and our future product direction. You will not simply lead an AI function; you will define how AI becomes the foundational layer of autonomous manufacturing.
What You Will Do
  • Build and Manage the AI Organization: You will build and manage the AI organization at 4MP, while doing hands-on technical work. You will recruit and mentor a world-class team while architecting the AI modules, writing code, reviewing architecture, and building prototypes alongside them.
  • Lead AI Architecture: Design and develop the intelligence layers that enable machines to interpret manufacturing intent, understand system deviations, and autonomously generate corrective actions.
  • Integrate Multidisciplinary Data: Define how AI interacts with physics-based models, machine telemetry, sensor data, CNC programs, and manufacturing context.
  • Interpret & Modify CNC Programs: Build AI systems to extract machining intent from G-code, accounting for operator variability, CAM differences, and varied programming styles.
  • Design Learning Frameworks: Develop feedback loops that combine AI reasoning with physics-based models and sensor data, allowing machines to improve from each correction cycle and production result.
  • Build Data Infrastructure: Create a scalable data architecture that captures manufacturing intelligence across machines, parts, tools, materials, and production environments.
  • Create Simulation Environments: Define simulation and validation environments for training, testing, and scaling autonomous correction models.
  • Drive Strategic Cross-Functional Leadership: In close interaction with other functional leaders, you will contribute to defining the company strategy, technology and business roadmaps, and comprehensive project plans.

What We Require
  • Hands-On AI Management: Proven experience building and managing an AI organization while doing hands-on technical work. You must be comfortable leading teams while actively contributing to the codebase.
  • 10+ Years of Experience: Deep background in AI, software engineering, machine learning architecture, robotics, intelligent systems, or complex technical platforms.
  • Industrial Domain Expertise: Direct experience with robotics, autonomous systems, industrial systems, physics-informed machine learning, reinforcement learning, control systems, simulation, digital twins, or real-world telemetry.
  • System Architecture Expertise: Deep experience designing and building production-grade AI, ML, data, or software infrastructure from the ground up.
  • Strong Coding and Data Proficiency: Exceptional hands-on coding skills and ability to manage data pipelines, model orchestration, validation, feedback loops, and complex, messy, real-world data.
  • Core AI/ML Expertise: Strong, up-to-date understanding of optimization, statistical modeling, and system-level AI design.
  • Educational Foundation: Bachelor's degree in Computer Science, Robotics, Engineering, Physics, Mathematics, or a related field.

What Will Set You Apart
  • Advanced Degree: Master's or PhD in Computer Science, Robotics, Engineering, Physics, Mathematics, or a related field.
  • Startup & Scaling Experience: An ideal candidate will bring a unique blend of agile startup experience alongside a proven track record of navigating the growth, product-focused phase at a major AI organization (such as OpenAI, Anthropic, Google, Meta, etc.).
  • "Can Do", Driven Attitude: A track record of turning ambiguous, unsolved technical problems into reliable, working systems where no playbook existed.
  • Systems Thinker: A focus on building foundational, long-term scalable platforms and intelligent systems rather than just standalone models.
  • Visionary Drive: You are not just looking for a senior title; you are looking for the opportunity to achieve a career-defining milestone by building a platform that fundamentally reshapes an entire industry.