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