About the Role

We are seeking a highly motivated Data & AI Analyst with strong analytical and technical skills to join our team. This role offers the opportunity to work at the intersection of finance and technology by building AI-driven solutions and managing financial datasets to support strategic investment decisions.

As part of our Data team, you will gain hands-on experience in applying data, SQL, and AI modelling techniques to real-world financial problems, while deepening your understanding of the financial world.

Candidates will be required to solve one technical problem with the help of GenAI and submit their solutions before the interview. You are required to walk through your pseudo code and answer any follow-up questions pertaining to your code.

Key Responsibilities

• AI Model Development - Assist in developing and testing AI/ML models to enhance investment analysis and financial decision-making. Support backtesting and validation of predictive models for portfolio management and risk assessment.
• Database Management & Analytics - Work with AWS databases to manage, clean, and query large financial datasets. Optimize database queries to ensure efficiency in extracting and processing data. Support integration of financial data into dashboards and reporting tools.
• Financial Research & Insights - Assist and Maintain the automation of data reports, dashboards data feed, and presentations for internal stakeholders.
• Collaboration - Work closely with portfolio managers, analysts, and technology teams to translate business needs into data-driven solutions. Contribute to ongoing projects and propose innovative ideas that leverage AI and automation in finance.
• Ad hoc Tasks - Implementing and Debugging of current infrastructure.

Requirements

• Bachelor's or Master's degree in Mathematics, Computer Science, Data Science, or a related field. Fresh graduates are welcome to apply.
• Knowledge of SQL (database querying and management).
• Familiarity with Python for data analysis and AI/ML model development.
• Strong analytical, quantitative, and problem-solving skills.
• Interest in financial markets, asset management, and technology-driven innovation.
• Ability to work independently and collaboratively in a fast-paced environment.

Preferred Skills (Good to have)

• Experienced with Pandas and NumPy for data manipulation and analysis.
• Familiarity with machine learning and deep learning concepts.
• Understanding of financial instruments and asset management concepts.
• Exposure to data visualization tools (e.g., Power BI, Tableau, or Python libraries like Matplotlib/Seaborn).

What You'll Gain

• Hands-on exposure to AI applications in finance.
• Practical experience in financial data management and asset performance analysis.
• Mentorship from finance and technology professionals for fresh graduates.
• Opportunity to contribute to impactful projects that shape investment decisions.