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SGB
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  • Senior Banking Data Analyst  

    - Singapore

    1. Role Summary
    We are seeking a Senior Data Analyst with a strong banking data warehouse modelling experience, and a Banking Data Architect mindset to bridge the gap between complex business requirements and high-performance data engineering. Unlike a traditional analyst who reacts to tickets, you will leverage deep banking data modelling experience to proactively lead the design of the data warehouse and data lake layers with a "design-first" approach.
    You will be the Technical Product Owner for the banking data domain, and the primary consultant for the business, anticipating data needs for Regulatory Compliance from central bank (BCBS 239, Basel III alike), Business Growth, and Financial Analysis (Deposit, Cashflow, AUM, NIM, etc). You will ensure that our data models are not just built for today’s reports, but are scalable, performant, and logically sound for the future of the bank.
    2. Key Responsibilities
    A. Strategic Data Modeling & Design
    Enterprise Blueprinting: Lead the logical and physical design of the data warehouse DWD/DWS/ADS layers, moving away from "trial-and-error" and “reactive ticket based” modeling to create a unified, high-integrity data environment.
    Proactive Requirement Engineering: Anticipate data requirements through deep know-how in banking data model to satisfy banking regulations, growth analysis, data driven near-real-time recommendations, and financial analysis/reporting needs, ensuring majority of warehouse data is already captured and structured before the business requests it.
    Architectural Oversight: Serve as the bridge to the Data Engineering team, ensuring that data logic migrated or extended from Redshift to EMR (Spark/Hive) maintains business accuracy and performance standards.
    Serve as the final gatekeeper of data accuracy.
    B. Regulatory, Financial and Business Growth Subject Matter Expertise
    Compliance Architect: Design data flows that meet regulatory standards for data aggregation and risk reporting. Ensure "Critical Data Elements" (CDEs) have clear lineage and robust quality checks.
    Financial Logic Implementation: Build the foundational data warehouse model and business logic combining all SORs (core banking, GL, etc) for complex KPIs such as Assets Under Management (AUM), accounting reconciliations, and risk metrics.
    Global Standardization: Lead global expansion data modelling; partner with mid-and-back-office teams to align data definitions across global regions, ensuring a single source of truth for all decision-making.
    Understand or willing to self-teach the use cases and data model supporting data driven retail/corporate banking business growth, such as real time and batch recommendation/up selling/cross selling, etc.
    C. Data Project Execution:
    Stakeholder and executive communication as data team representative
    As product owner, own Data Project’s planning, data model design, monitoring, data integrity testing and project communication. Data Warehouse buildup, data integration and migration, BI buildup, etc, are all deemed Data Projects.
    D. Technical Validation & Optimization
    Since you will act as the Technical Product Owner for the banking data domain. You are expected to 'speak the language' of Data Engineering to co-design scalable models, but your primary focus is the integrity and business-readiness of the data layer, not the day-to-day management of infrastructure pipelines". Leveraging below technique, you will define and validate the complex data warehouse business logic.
    High-Performance SQL: Independently develop and optimize complex SQL
    Decision-Support Visuals: Design executive-level dashboards in Power BI (DAX) or AWS QuickSight, focusing on data storytelling and intuitive navigation for complex financial data.

    3. Requirements
    Language & Communication
    Bilingual Proficiency: Excellent command of spoken English and Chinese. Ability to lead meetings in English and Chinese, and draft high-quality technical documentation.
    Banking Domain Expertise
    Industry Background: Extensive experience in Banking or Financial Service data modelling.
    Deep Know-How: Familiarity with business metrics such as customer experience, accounting, regulatory or risk, etc.
    Visionary Approach: Proven ability to design data models based on industry best practices rather than piecemeal user requests.
    Technical Stack Mastery
    Core Analytics: Advanced SQL, Power BI (DAX), and AWS QuickSight.
    Data Engineering Literacy: Strong familiarity with or willingness to learn AWS EMR (Spark/Hive) and Airflow orchestration.
    Data Modeling: Expert in Dimensional Modeling (Star/Snowflake schemas) and 3rd Normal Form (3NF).
    Technical Agility: Proficiency in Python for data manipulation is a significant plus.

  • Treasury Operations Manager  

    - Singapore

    About the Role
    We are looking for an experienced Treasury & Settlement Operations Manager to join our Business Operations team in Bahrain.This role combines strategic thinking with hands-on execution across liquidity management, capital deployment, FX trading, and process optimisation.
    You will play a key role in ensuring timely fund movement, trade confirmation and settlement, and enhancing banking and institutional relationships to support business growth globally.
    You will work closely with cross-functional teams, including Finance, Product, and external partners, to build scalable processes and drive automation initiatives. The role offers exposure to both tactical and strategic decision-making in a fast-paced, global environment.
    Key Responsibilities
    Lead and mentor a team covering treasury and settlement functions, including cash positioning, reconciliation, and payment processing
    Oversee daily cash management, capital allocation, and short-term liquidity forecasting
    Ensure timely and accurate settlement of trades, fund transfers, and margin/collateral movements
    Manage trade confirmations and reconciliation with counterparties for a range of money market and investment products including deposits, short-term securities, funds and digital assets transactions
    Design and maintain robust processes and controls around liquidity movements and treasury workflows
    Identify opportunities for automation and system enhancements to improve efficiency and scalability
    Act as the key liaison with banks, custodians, fund managers, and internal stakeholders on treasury and settlement-related matters
    Provide regular reporting on liquidity positions, settlement activities, and exceptions to ensure compliance with internal controls and audit readiness
    What We’re Looking For
    Bachelor’s degree in Finance, Economics, Accounting, or related discipline
    Minimum 5 years of experience in Treasury and/or Settlement Operations, including at least 2 years in a team management role
    Proven track record managing operational teams in a trading, fintech, or financial institution environment
    Deep understanding of liquidity management, FX operations, Bonds, Treasury Bills, Fixed Deposit lending/borrowing, and settlement processes, including Nostro accounts, custody arrangements, and crypto flows (Preferred).
    Familiarity with global payment networks and clearing systems (e.g., SWIFT, CHATS, Fedwire, CHIPS, RTGS)
    Demonstrated ability to perform effectively under pressure in high-volume environments
    Strong leadership, communication, and stakeholder management skills
    High attention to detail and a proactive, solution-oriented mindset

  • Role Overview
    As a Payment Associate, you will manage the resolution of complex payment exceptions and inquiries. You will leverage your technical knowledge of SWIFT and ISO 20022 standards to resolve payment exceptions efficiently, ensuring minimal disruption to client fund flows.
    Key Responsibilities:
    1. Payment Investigations & Query Management
    Manage end-to-end payment investigations related to cross-border remittances, including non-receipt of funds, amendments, and cancellations.
    Draft and process SWIFT messages for investigations and inquiries, specifically MT199 (Free Format), MT192 (Request for Cancellation), MT195 (Queries), and MT196 (Answers).
    Handle payment returns and rejects using pacs.004 and status updates via pacs.002 in line with ISO 20022 standards.
    Liaise closely with correspondent banks and internal stakeholders to resolve outstanding "breaks" and payment delays promptly.
    Respond to client inquiries regarding payment status, ensuring a high level of service and professional communication.
    2. Daily Operations & Reconciliation:
    Monitor and resolve Nostro account breaks related to remittance activities to ensure timely reconciliation.
    Perform daily transaction monitoring to identify failed or stuck payments for immediate remediation.
    Support the processing of inward and outward remittances during peak periods to meet currency cutoff times.
    Maintain accurate logs of all investigation cases and provide regular status updates to management.
    3. Risk, Compliance & Controls:
    Ensure all investigations and returns are handled in strict accordance with AML, Sanctions screening, and KYC regulatory requirements.
    Identify recurring payment issues or bottlenecks and suggest process improvements to mitigate operational risk.
    Adhere to internal Operating Procedures (SOPs) and departmental SLAs.
    4. System & Project Support:
    Assist in User Acceptance Testing (UAT) for payment system enhancements
    Provide feedback on system workflows to improve the efficiency of the investigation process.
    Requirements:
    Bachelor’s degree in Banking and Finance, Business, or a related field.
    Minimum 2 to 3 years of experience in Bank Payment Operations, specifically in Cross-Border Remittances and Payment Investigations.
    Technical Proficiency: Solid understanding of SWIFT MT (Category 1, 2, and 9) and ISO 20022 (pacs) messaging.
    Experience in MT199, MT192, pacs.002, and pacs.004 is highly preferred.
    Strong knowledge of the global clearing landscape and correspondent banking.
    Ability to work under pressure and manage high-volume queries within strict cutoff times.
    Excellent communication skills with a "client-first" mindset.
    Strong analytical skills with high attention to detail with ability to "connect the dots" in complex payment chains.

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