Research Analyst

Description

Personetics harnesses AI to help financial institutions deliver data-driven guidance that empowers customers to make smarter spending and saving decisions. Using our technology, banks can act on their transaction data in real-time to offer timely, contextual insights that drive engagement, deepen customer relationships, and fuel business growth. As industry leaders—yes, we really are leaders—we serve the world’s top financial institutions, empowering over 150 million customers monthly across 35 global markets, from offices in New York, London, Singapore, São Paulo, and Tel Aviv.

About the position

As part of our growth, we are looking for a Research Analyst to join our dynamic and growing team. The candidate should have strong analytical capabilities, combined with technical skills and a proactive approach to problem-solving.

In this role you will transform raw transaction data into clear, meaningful details, helping users better understand their financial activities. By enriching transaction descriptions with key information like categories and merchants, you will enhance the user experience and support advanced analytics. This work provides the foundation for insightful financial models and analyses across the company.

Responsibilities

• Perform business research on various information sources (external sources such as the web as well as internal materials, etc.)
• Work closely with the product group to explore and enrich big data, and take part in new product evolution
• Work closely with the technology units
• Research, analyze and organize big data from both technical and business perspective
• Collaborating with AI and Data Science teams to support our Model Development

Requirements

• A bachelor’s degree in Industrial Engineering, Information Systems, or a related field.
• 1-2 years of relevant work experience.
• Proven professional experience with Excel and/or analyzing large datasets of textual information.
• Strong analytical skills – ideally from working as a data analyst or in a similar analytical/problem-solving role.
• High attention to detail within a fast-paced environment.
• A Passion for Data and Innovation - A creative thinker who is excited about data and its potential to drive impactful business insights.
• Strong organizational and communication skills.
• Ability to work independently with self-management capabilities.
• Fluency in English.

Nice to have

• Technical data tools and familiarity with Python and SQL for data analysis.
• Financial services experience (Banking, Credit Cards, or Insurance).
• Experience in previous research role.