Business Analyst - Machine Learning

Job Description

As a Sr Consultant/Manager, you will acquire first‐hand consulting experience in the banking industry, build knowledge on a wide range of companies, and apply project management best practices in a fast‑paced and intellectually challenging work environment.

You will play a key role in building trusted client relationships through high quality deliverables and leveraging our industry expertise. Our consultants are our greatest asset, and we show this by providing a comprehensive training and mentoring program to equip you to become a skilled consultant.

Job Responsibilities

• You will bridge business needs and technical solutions, leveraging data‑driven insights and ML models to optimize processes, enhance customer experiences, and enable digital transformation.
• Collaborate with stakeholders to gather and translate business requirements into ML‑driven solutions.
• Analyze existing processes and identify opportunities for automation and predictive analytics.
• Work closely with data scientists and engineering teams to design, test, and implement ML models in production environments.
• Ensure user stories and technical documentation are clear and actionable for development teams.

Job Requirements

• Degree holder
• 8+ years of experience as a Business Analyst in Banking or Financial Services.
• Strong understanding of Machine Learning concepts and their application in financial services (e.g., AML, KYC, Compliance, fraud detection, credit scoring, customer segmentation).
• Familiarity with ML tools and frameworks (e.g., Python, TensorFlow, Scikit‑learn) and data visualization platforms.
• Excellent communication and stakeholder management skills, with the ability to influence senior leaders.
• Experience in Agile delivery and end‑to‑end project lifecycle.
• Team player with a strong ability to drive risk initiatives across business functions.

Job Benefits

• Adaptable schedules offering full‑time roles and hybrid work options.
• Attractive fringe benefits and salary structures in line with the market.
• Modern and central office space with good public transport connections.
• Can‑do mentality and one‑spirit culture.
• Varied events and employee initiatives.