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AI-driven Data and Market Research Associate (6041)

Beijing

  • Organization: AIIB - Asian Infrastructure Investment Bank
  • Location: Beijing
  • Grade: 1314
  • Occupational Groups:
    • Statistics
    • Administrative support
    • Information Technology and Computer Science
    • Sustainable trade and development
    • Scientist and Researcher
    • Innovations for Sustainable Development
    • Sustainable Business Development
    • Marketing (Digital, Advertisement, Brand, Promotion)
  • Closing Date:

The Asian Infrastructure Investment Bank (AIIB) is a multilateral development bank whose mission is Financing Infrastructure for Tomorrow in Asia and beyond—infrastructure with sustainability at its core. We began operations in Beijing in 2016 and have since grown to 110 approved members worldwide. We are capitalized at USD100 billion and AAA-rated by the major international credit rating agencies. Collaborating with partners, AIIB meets clients’ needs by unlocking new capital and investing in infrastructure that is green, technology-enabled and promotes regional connectivity.

The Sectors, Themes, and Finance Solutions Department (STF) fosters technical excellence and expands the Bank’s financing expertise across all sectors and themes to support both sovereign and non-sovereign investment operations. It spearheads the development and implementation of innovative investment projects and leads the introduction and operationalization of new products and financing modalities - often ahead of their mainstream adoption by the Client Departments (CDs).

In close collaboration with the CDs, the STF conducts upstream work to support and incubate new initiatives in frontier technologies, public-private partnership (PPP) advisory, and other productive sectors. It also guides the Bank’s corporate strategy by setting thematic priorities such as: Green infrastructure, Technology-enabled infrastructure, Private capital mobilization (PCM), and Cross-border cooperation. In addition, the Department supports the Bank’s efforts on cross-cutting themes including climate, gender and inclusivity, and nature.

STF further represents the Bank in international forums to address sectoral, thematic, and financing issues, actively networks with other development partners, and reinforces AIIB’s reputation as a premier development institution contributing to the global development agenda.  

STF is seeking a motivated Associate with solid analytical and research skills to support the department on sector and market analysis using advanced tools, including Artificial Intelligence (AI).
 

Responsibilities:

The Associate will provide analytical support to carry out sector and/or market opportunity assessments and support on the development of AI-based methodologies and approaches to sector/market assessment, technical assessment for investment projects, and data analysis and management.

Key responsibilities include:

  • Implement and refine AI-driven sector analysis for prospective investments, facilitating robust decision-making across projects.
  • Gather and analyze publicly available data and insights from other multilateral development banks and relevant institutions to enhance market research.
  • Collaborate with sector experts to design and deploy AI-based research methodologies that address critical market and investment questions.
  • Participate in IT system-related projects and process enhancements to integrate AI research solutions effectively, ensuring seamless data flow and advanced analytics functionalities.
  • Develop and maintain research frameworks that leverage AI tools, ensuring consistency and quality in sector-specific analysis and reporting.
  • Provide advisory and technical support to internal teams on AI-driven research techniques, fostering a culture of innovation and data-centric thinking.
  • Monitor and evaluate the effectiveness of AI-driven analysis, recommending improvements and updates to maintain high relevance and accuracy.
  • Stay current with emerging trends in AI, data analytics, and market intelligence, proactively applying new approaches to enhance research outcomes.

Requirements:

  • Minimum 3 years of relevant practical experience working in data analytics, AI/machine learning, or market research within an international bank, technology company, or other large organization.
  • Hands-on experience with AI-driven solutions, particularly the implementation of large language models.
  • Experience integrating, structuring, and preparing data from various sources to ensure accurate and timely analysis.
  • Good understanding of machine learning fundamentals, such as model evaluation and data preprocessing, to enhance the quality and reliability of research findings.
  • Proficiency in data-oriented programming languages (e.g., Python, R, SQL), along with familiarity in using common libraries for data manipulation and analysis.
  • Excellent analytical and organizational skills, capable of handling multiple projects under tight deadlines.
  • Team player with strong communication abilities, able to convey complex findings to both technical and non-technical stakeholders.
  • Bachelor’s degree or above in Data Science, Computer Science, Engineering, Statistics, Economics, or a related field. A graduate degree (Master’s or PhD) in a relevant discipline would be considered an advantage. 
  • Excellent communication skills in English, both verbal and written.

AIIB is committed to diversity, transparency and inclusion. We believe our strength comes from having a team with the right diverse skills, experiences and abilities selected through a merit-based competitive process. We actively encourage applications from people from both within and outside AIIB members, regardless of nationality, religion, gender, race, disability or sexual orientation.

Previous experience and qualifications will determine the grade and job title at which successful applicants will enter AIIB.

Join us and help create a prosperous and sustainable Asia while growing your career in a diverse and innovative environment.

We do our best to provide you the most accurate info, but closing dates may be wrong on our site. Please check on the recruiting organization's page for the exact info. Candidates are responsible for complying with deadlines and are encouraged to submit applications well ahead.
Before applying, please make sure that you have read the requirements for the position and that you qualify.
Applications from non-qualifying applicants will most likely be discarded by the recruiting manager.
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