ALM Business Analyst

About the Role

As an ALM Business Analyst, youll be crucial in delivering innovative data solutions for Interest Rate Risk (IRRBB) reporting. Youll collaborate with a global team to develop and implement solutions that meet the needs of our business, comply with regulatory requirements, and support our overall ALM strategy.

Key Responsibilities

• Data Analysis: Analyze complex data sets related to ALM risk, including IRRBB measures, to identify trends, patterns, and insights.
• Solution Development: Design and develop data-driven solutions for ALM reporting, focusing on efficiency, accuracy, and compliance.
• Stakeholder Management: Collaborate closely with internal and external stakeholders, including Finance, Risk, and regulatory bodies, to gather requirements and ensure alignment.
• Data Translation: Translate complex data requirements into actionable items and designs for the development team.
• Agile Methodology: Work within an Agile framework to deliver projects efficiently and effectively.
• Team Collaboration: Collaborate with a diverse team of ALM specialists to share knowledge, solve problems, and deliver high-quality results.

Qualifications and Skills

• Python Expertise: Strong proficiency in Python programming, including data analysis, visualization, and modeling techniques.
• Analytical Thinking: Ability to analyze complex data, identify trends, and draw meaningful conclusions.
• Business Acumen: Understanding ALM risk, financial regulations, and best practices in the banking industry.
• Communication: Excellent written and verbal communication skills, including explaining complex technical concepts to non-technical stakeholders.
• Collaboration: Strong teamwork skills and ability to work effectively in a cross-functional environment.
• Problem-Solving: Ability to identify and solve complex problems creatively and efficiently.

Additional Qualifications (Preferred)

• Experience with IRRBB supervisory outlier tests.
• Familiarity with Agile methodologies (Scrum).
• Masters degree in a quantitative field (e.g., econometrics, mathematics, economics).

Join our team and contribute to our mission of delivering innovative data solutions for ALM risk management