Lead, Treasury Data & Analytics

Standard Chartered; Singapore; On-site; SGD 100,000 - 130,000; Full time

Job summary

A leading global bank in Singapore is seeking a Business Lead for IDL Analytics, responsible for enhancing intraday liquidity analytics solutions. This role requires 10+ years in project delivery, strong skills in data analytics, and expertise in Agile methodologies. The ideal candidate will lead cross-functional teams, manage stakeholder relations, and ensure compliance with regulatory frameworks, empowering improved decision-making in liquidity management.

Qualifications

• 10+ years of experience in project or product delivery, ideally within banking or fintech.
• Strong understanding of Agile methodologies and DevOps frameworks.
• Experience managing complex data and regulatory reporting projects.

Responsibilities

• Lead design and rollout of Intraday Liquidity Analytics tools.
• Drive creation of real-time dashboards and KPIs.
• Manage vendor relationships to align with IDL objectives.

Skills

Agile methodology

Data analysis

Stakeholder management

Intraday liquidity concepts

Communication skills

Education

Bachelor’s or Master’s degree in Finance, Engineering, Computer Science

Tools

SAP LMS

Python

SQL

Tableau

Power BI

Qlik

Hadoop

Snowflake

Job description

Job ID: 43444

Location: Singapore, SG

Area of interest: Audit, Accounting & Finance

Job type: Regular Employee

Work style: Office Working

Opening date: 7 Nov 2025

JOB SUMMARY

Business Lead – Delivery, IDL Analytics is responsible for end-to-end delivery and enhancement of intraday liquidity analytics solutions within the bank’s treasury and liquidity ecosystem. This role improves real-time visibility of liquidity positions and drives innovation in liquidity forecasting and analytics through data-driven tools and automation. The Treasury Data & Analytics SME role is a key role in the data squad servicing end to end Treasury functions.

Key Responsibilities

1. Product & Delivery Ownership

• Lead the design, development, and rollout of the bank’s Intraday Liquidity Analytics (IDL) analytics and related tools.
• Translate business requirements from Treasury Markets, Liquidity team, and Treasury Services into technical and analytical solutions.
• Oversee end-to-end project delivery, ensuring quality, scalability, and timely execution across multiple workstreams.
• Partner with internal teams to integrate payment, settlement, and collateral data from RTGS, SWIFT, clearing systems, SAP LMS etc.

2. Analytics and Insights

• Drive the creation of real-time dashboards and KPIs (e.g., peak usage, liquidity buffers, payment throughput).
• Develop forecasting and scenario analytics to support stress testing, funding optimization, and Basel III reporting.
• Collaborate with data scientists and quantitative teams to apply machine learning or predictive analytics for liquidity flow modelling.

3. Stakeholder Management

• Act as the primary liaison between Treasury, CIB, WRB, Operations, Risk, and Technology teams.
• Engage with senior management to communicate analytics insights, tool capabilities, and track project progress.
• Manage vendor relationships and ensure alignment of external tools with IDL objectives.

4. Governance and Controls

• Ensure all tools comply with regulatory standards and internal model governance frameworks.
• Oversee data quality, lineage, and reconciliation across liquidity sources.

5. Business Methodology

• To act as a business solution owner of the projects’ target state and support analysis included in relevant concept and methodology papers required for preparation of BRDs.
• To ensure that detailed requirements are documented in BRDs, and are duly signed off by relevant stakeholders.
• To ensure that the new solutions comply with internal procedures / external regulatory guidelines and project deliverables are properly understood by business stakeholders, project team, and end-users.

6. Team Leadership

• Lead a cross-functional team of business analysts, and visualization specialists.
• Promote an agile delivery culture, fostering collaboration, transparency, and continuous improvement.
• Mentor team members in liquidity analytics, deliver best practices, and stakeholder engagement.

Our Ideal Candidate

The ideal candidate combines deep domain expertise in liquidity management with strong delivery management, data and analytics skills with strong exposure in AI.

Technical and Analytical

• Strong understanding of intraday liquidity concepts, Basel III monitoring tools, and treasury operations.
• Proficiency in data analytics tools (e.g., SAP LMS, Python, SQL, Tableau, Power BI, Qlik) and data platforms (e.g., Hadoop, Snowflake).
• Experience with financial messaging systems (SWIFT, TARGET2, Fedwire, CHAPS).
• Familiarity with core banking and treasury systems such as Murex, Calypso, Finastra, or proprietary platforms.
• Experience in BI applications and related change management.

Delivery and Leadership

• 10+ years of experience in project or product delivery, ideally within a banking or fintech environment.
• Proven track record managing complex data and regulatory reporting projects.
• Strong understanding of Agile methodologies and DevOps frameworks.
• Excellent communication and stakeholder management skills at executive and regulatory levels.

Preferred Qualifications

• Bachelor’s or Master’s degree in Finance, Engineering, Computer Science, or a related field.
• Professional certifications such as PMP, PRINCE2, CFA, or FRM.
• Experience in liquidity risk analytics, intraday funding, or payment system modernization programs.
• Exposure to AI/ML use cases in liquidity forecasting and ISO 20022 payment data transformation.

Role Specific Technical Competencies

• Change / Programme Management.
• Agile methodology / strategic planning.
• Data Analysis and story-telling.
• Stakeholder Management and Influence.