*Top Tier Digital Bank* Data Scientist - 12 months contract

Allegis Global Solutions Singapore Pte Ltd; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Allegis Global Solutions Singapore Pte Ltd seeks a Data Scientist to support the OTCR Transformation Programme by turning complex data into actionable risk insights. You will work with Risk, Technology, and COO teams to build models, pipelines, and dashboards using Python, SQL, Power BI, and NLP techniques, ensuring governance and explainability.

Strong communication and collaboration across global teams are essential for driving evidence-based decisions and data literacy within OTCR.

Qualifications

• Bachelor's or Master's degree in Data Science, Statistics, Computer Science or a related field.
• 5-8 years of experience in data science or advanced analytics, preferably in financial institutions or risk management.
• Solid foundation in data analysis, statistical modelling, and machine learning.
• Practical experience with data cleaning, pipeline development, and quality assurance.
• Proven experience in supporting large-scale transformation or regulatory programmes.
• Proficiency in data visualization tools, with the ability to present technical outputs in a simplified manner.
• Strong analytical and critical thinking skills, with a keen attention to detail.
• Familiarity with risk frameworks, operational risk data, and regulatory environments is desirable.
• Excellent communication skills, capable of simplifying and translating complex analyses into actionable insights.
• Collaborative mindset with the ability to work across global teams and influence decision-making.

Responsibilities

• Perform extensive exploratory data analysis to identify trends, anomalies, and insights from diverse datasets.
• Develop and implement predictive models, machine learning algorithms, statistical methods, and natural language processing (NLP) techniques as appropriate.
• Apply quantitative analysis to support scenario assessments, thematic reviews, and stress testing.
• Ensure that model outputs are explainable, validated, and compliant with internal governance standards.
• Ingest, clean, and transform datasets from various internal systems (e.g., M7, iTrack, FICA) and external sources (e.g., ORX, industry loss databases).
• Build and maintain pipelines to ensure reliable and repeatable data flows.
• Assure data integrity by documenting data lineage, applying quality checks, and implementing reconciliation processes.
• Maintain datasets that are audit-ready and capable of withstanding regulatory or internal scrutiny.
• Develop clear and insightful dashboards and visualizations using tools such as Power BI, Tableau, or Python libraries.
• Present analytical findings in a manner that allows senior stakeholders to quickly grasp key insights.
• Communicate technical results clearly and structurally, ensuring consistency and clarity across governance and committee materials.
• Collaborate with risk subject matter experts (SMEs), technology teams, and business partners to frame analytical problems and define practical solutions.
• Provide data-driven insights that enable decision-making rather than just reporting.
• Support cross-functional teams by sharing analytical expertise and fostering a culture of evidence-based decision-making.
• Contribute to enhancing data literacy and analytical capability within the OTCR function.

Skills

Analytical thinking

Critical thinking

Communication

Collaboration

Attention to detail

Problem solving

Risk awareness

Presentation skills

Data storytelling

Adaptability

Education

Bachelor's or Master's degree in Data Science, Statistics, Computer Science or related field

Tools

Python

R

SQL

Spark

SAS

Power BI

Tableau

Excel

Access

SharePoint

Job description

RESPONSIBILITIES

The Operational, Technology and Cyber Risk (OTCR) organisation is instrumental in protecting and ensuring the resilience of the Bank's operations, data, and IT systems by managing operational, technology and cyber risk across the enterprise. As a critical function reporting into the Group Chief Risk Officer (CRO), the Group OTCR team serves as the second line of defence for assuring that controls are implemented effectively, in accordance with the OTCR Framework, and for instilling a risk culture within the Bank.

The Data Scientist will utilize advanced analytics and data science techniques to support the Operational Technology & Cyber Risk (OTCR) Transformation Programme. This role is responsible for transforming complex internal and external data into actionable insights that enhance risk management, strengthen decision-making, and support transformation objectives. By working closely with stakeholders across Risk, Technology, and the COO, the Data Scientist will integrate modelling, data management, and effective communication to enable evidence-based decisions and foster a data-driven culture within OTCR.

Data Analysis & Modelling

• Perform extensive exploratory data analysis to identify trends, anomalies, and insights from diverse datasets.
• Develop and implement predictive models, machine learning algorithms, statistical methods, and natural language processing (NLP) techniques as appropriate.
• Apply quantitative analysis to support scenario assessments, thematic reviews, and stress testing.
• Ensure that model outputs are explainable, validated, and compliant with internal governance standards.

Data Management & Quality Assurance

• Ingest, clean, and transform datasets from various internal systems (e.g., M7, iTrack, FICA) and external sources (e.g., ORX, industry loss databases).
• Build and maintain pipelines to ensure reliable and repeatable data flows.
• Assure data integrity by documenting data lineage, applying quality checks, and implementing reconciliation processes.
• Maintain datasets that are audit-ready and capable of withstanding regulatory or internal scrutiny.

Visualisation & Communication

• Develop clear and insightful dashboards and visualizations using tools such as Power BI, Tableau, or Python libraries.
• Present analytical findings in a manner that allows senior stakeholders to quickly grasp key insights.
• Communicate technical results clearly and structurally, ensuring consistency and clarity across governance and committee materials.

Collaboration & Stakeholder Support

• Collaborate with risk subject matter experts (SMEs), technology teams, and business partners to frame analytical problems and define practical solutions.
• Provide data-driven insights that enable decision-making rather than just reporting.
• Support cross-functional teams by sharing analytical expertise and fostering a culture of evidence-based decision-making.
• Contribute to enhancing data literacy and analytical capability within the OTCR function.

QUALIFICATIONS & SKILLS

• Bachelor's or Master's degree in Data Science, Statistics, Computer Science or a related field.
• 5-8 years of experience in data science or advanced analytics, preferably in financial institutions or risk management.
• Solid foundation in data analysis, statistical modelling, and machine learning.
• Practical experience with data cleaning, pipeline development, and quality assurance.
• Proven experience in supporting large-scale transformation or regulatory programmes.
• Proficiency in data visualization tools, with the ability to present technical outputs in a simplified manner.
• Strong analytical and critical thinking skills, with a keen attention to detail.
• Familiarity with risk frameworks, operational risk data, and regulatory environments is desirable.
• Excellent communication skills, capable of simplifying and translating complex analyses into actionable insights.
• Collaborative mindset with the ability to work across global teams and influence decision-making.

Common Tools Used

• Python / R / SQL: Data science, modelling, and automation.
• Spark / SAS (advantageous): Large-scale data processing.
• Power BI / Tableau: Data visualization.
• Microsoft Excel/ Access: Analysis and reconciliation.
• SharePoint / MS Teams: Document management and collaboration.