About Us:
From business process re-engineering to global business expansion for Japanese corporations, ABeam Consulting has served our clients through more than 40 years of growth. With our vision of being the No. 1 global consulting firm from Asia, ABeam Consulting helps our clients take on the challenge of business transformation. With 4,400 consultants in Japan, and 3,100 in overseas offices concentrated in Asia, our 7,500 consultants and global alliance partners provide truly comprehensive services.
Role Overview
We are seeking a Data Scientist to support financial services clients in applying advanced data analytics, statistical analysis, and AI-enabled solutions to strengthen risk management, operational governance, and regulatory compliance frameworks.
The Data Scientist works closely withbusiness, risk, and technical stakeholders to optimise decision-making processes and improve operational efficiency.
Key Responsibilities
• Analyse complex business and operational datasets using Python and SQL to identify patterns, trends, risks, and improvement opportunities across financial and risk-related use cases.
• Apply statistical analysis and exploratory or rule-based analytical methods to support business decision-making, risk assessment, and operational optimisation.
• Design, develop, and maintain Python-based data processing and automation scripts to improve efficiency, accuracy, and scalability of analytical workflows.
• Perform end-to-end data assessments, including data validation, quality review, and logical consistency checks to ensure analytical outputs are robust and reliable.
• Translate business and operational requirements into analytical specifications, data logic, and technical solutions through close collaboration with stakeholders.
• Prepare analytical reports, visualisations, and technical documentation that clearly communicate insights, assumptions, and recommendations to management and business users.
• Support risk analytics initiatives, including assessment of operational, claims, or financial risk indicators through data-driven analysis.
• Evaluate AI and advanced analytics use cases, assessing data availability, technical feasibility, and alignment with existing business processes and governance requirements.
• Support system development and implementation activities related to data analytics platforms, operational governance tools, or AI-enabled solutions.
• Stay current with emerging practices in data science, AI, cloud analytics, and automation, advising stakeholders on their practical application in financial services environments.
Requirements:
• Bachelor’s degree in Computer Science, Data Science from a recognised university.
• 1–3 years of experience in data science, data analytics, or analytics-focused consulting roles.
• Proven experience applying data analysis, statistical methods, and programming to solve complex business or operational problems.
• Experience in financial services, insurance, or risk-related analytics is preferred.
• Exposure to regulatory, compliance, or operational governance analytics is an advantage.
• Strong proficiency in Python for data analysis, automation, and analytical modelling.
• Working knowledge of SQL for querying and analysing structured datasets.
• Experience producing analytical reports and visualisationsto communicate insights to business stakeholders.
• Solid understanding of statistical analysis, data modelling,and exploratory analytics techniques.
• Familiarity with cloud-based analytics environments (e.g. AWS, Azure) is an advantage.
• Strong ability to translate raw data into meaningful, business-relevant insights.
• Excellent analytical thinking, problem-solving, and structured reasoning skills.
• Ability to clearly document analytical logic, assumptions, and findings.
• High attention to detail and strong professional judgement.
• Good communication skill in both English and Japanese (Business-level proficiency as mandatory) to liaise with Japanese stakeholders and clients.
• Proven ability to explain analytical concepts and results to non-technical stakeholders.
• Experience working directly with business users, technical teams, and management in client-facing environments.
Why Join Us
At ABeam Consulting, we place a strong emphasis on collaboration, and helping our employees grow and develop their skills, offering a supportive and empowering work environment. With a presence in multiple countries and a diverse range of clients, ABeam Consulting offers an exciting and dynamic workplace for individuals looking to build a career in consulting. ABeam Consulting has also recently joined SAP’s regional strategic partner initiative as their first regional partner in the region and has also been recognized by UiPath as a Diamond Partner in providing RPA solutions. With such accolades, we aim to continue driving enterprise and digital transformation initiatives in order to transform the way people work and communicate in the digital age. In addition, our industry team is working tirelessly in order to bring more solutions to the banking and finance sector.
We regret only shortlisted candidates will be notified.