At a Glance
- Tasks: Support sector and market analysis using AI tools for investment projects.
- Company: Join AIIB, a leading multilateral bank focused on sustainable infrastructure in Asia.
- Benefits: Enjoy a diverse work environment with opportunities for growth and innovation.
- Why this job: Be part of a mission-driven team making a real impact on global development.
- Qualifications: 3+ years in data analytics or market research; strong AI and programming skills required.
- Other info: AIIB values diversity and encourages applications from all backgrounds.
The predicted salary is between 36000 - 60000 £ per year.
AI-driven Data and Market Research Associate 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.
ALL CURRENT VACANCIES * Closing Date: All opportunities close at 11:59 p.m. (GMT+8) on the dates listed.
** Job Type: Recruitment of staff is conducted through a merit-based competitive selection process. AIIB shall strive to provide employment opportunities open to all suitably qualified applicants, regardless of religion, gender, race, disability, sexual orientation or nationality.
AI-driven Data and Market Research Associate (Base in Beijing) - Asian Infrastructure Investment Bank employer: Asian Infrastructure Investment Bank
Contact Detail:
Asian Infrastructure Investment Bank Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI-driven Data and Market Research Associate (Base in Beijing) - Asian Infrastructure Investment Bank
✨Tip Number 1
Familiarise yourself with the latest trends in AI and data analytics. This role requires a solid understanding of AI-driven solutions, so being able to discuss recent advancements or case studies during your interview can really set you apart.
✨Tip Number 2
Network with professionals in the field of data analytics and AI, especially those who have experience in multilateral development banks. Engaging in conversations with them can provide insights into the industry and potentially lead to valuable referrals.
✨Tip Number 3
Prepare to demonstrate your analytical skills through practical examples. Be ready to discuss specific projects where you've implemented AI-driven methodologies or data analysis techniques, as this will showcase your hands-on experience.
✨Tip Number 4
Stay updated on AIIB's initiatives and projects. Understanding their current focus areas, such as green infrastructure and technology-enabled solutions, will allow you to tailor your discussions and show genuine interest in their mission.
We think you need these skills to ace AI-driven Data and Market Research Associate (Base in Beijing) - Asian Infrastructure Investment Bank
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the AI-driven Data and Market Research Associate position. Tailor your application to highlight how your skills and experiences align with the job description.
Highlight Relevant Experience: In your CV and cover letter, emphasise your practical experience in data analytics, AI/machine learning, or market research. Be specific about your hands-on experience with AI-driven solutions and any relevant projects you've worked on.
Showcase Technical Skills: Clearly outline your proficiency in data-oriented programming languages such as Python, R, or SQL. Mention any experience you have with machine learning fundamentals and data manipulation libraries, as these are crucial for the role.
Craft a Compelling Cover Letter: Use your cover letter to convey your passion for the role and the mission of AIIB. Discuss how your background in data science or a related field equips you to contribute to AIIB's goals, particularly in sustainable infrastructure and innovative investment projects.
How to prepare for a job interview at Asian Infrastructure Investment Bank
✨Showcase Your Analytical Skills
As the role requires solid analytical skills, be prepared to discuss specific examples of how you've used data analytics or AI in previous roles. Highlight any projects where your analysis led to significant outcomes.
✨Familiarise Yourself with AI and Data Tools
Make sure you are well-versed in the programming languages and tools mentioned in the job description, such as Python, R, and SQL. Be ready to explain how you've applied these in real-world scenarios.
✨Understand the Bank's Mission
Research the Asian Infrastructure Investment Bank's mission and recent projects. Being able to articulate how your skills align with their goals, especially around sustainability and technology, will demonstrate your genuine interest in the position.
✨Prepare for Technical Questions
Expect technical questions related to machine learning fundamentals and AI-driven solutions. Brush up on key concepts like model evaluation and data preprocessing, and be ready to discuss how these apply to market research.