Careers
Research Analyst
About The Position
Personetics is the global leader in financial data-driven personalization, helping financial institutions deepen client relationships through enhanced financial wellness. We serve 130+ financial institutions and reach 150 million customers across 35 global markets, with 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.
- Excellent 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
- Advanced skills in Excel and ideally technical data tools and familiarity with Python and SQL for data analysis.
- Fluency in English.
- A team player
- Advantage: Financial services experience (Banking, Credit Cards or Insurance)
