Senior Data Analyst_Finance_Risk_Compliance(Contract_Rotational Shifts)

RADIANT DIGITAL SOLUTIONS PTE. LTD.; Singapore; On-site; SGD 70,000 - 90,000; Full time

Job summary

A financial services company in Singapore is seeking a highly analytical Data Analyst to analyze large datasets and support strategic decision-making. The role requires 7-12 years of experience in banking, strong data management skills, and knowledge of regulatory reporting. This position involves data cleaning, compliance assurance, and collaboration with stakeholders to develop data-driven solutions. The ideal candidate will excel in a fast-paced, data-driven environment.

Qualifications

• Minimum 7-12 years of experience as a Data Analyst, ideally within banking or financial services.
• Familiarity with statistical analysis tools preferred.
• Good understanding of corporate banking products.

Responsibilities

• Collect, clean, and validate data from multiple banking systems.
• Perform quantitative and qualitative analysis on corporate banking portfolios.
• Ensure compliance with data governance and regulatory reporting standards.

Skills

Data management skills

Analytical skills

Communication skills

Problem-solving

Critical-thinking

Education

Bachelor’s degree in data science, Statistics, Economics, Finance, Computer Science, or a related field

Tools

Python

R

Job description

Role Overview

We are seeking a highly analytical and detail-oriented Data Analyst to be part of us. The role will focus on analysing large datasets, generating actionable insights, and supporting strategic decision-making. The ideal candidate will have strong data management skills, financial domain knowledge (Preferably Regulatory Reporting, Risk and Compliance in a corporate banking products), and the ability to communicate findings in a clear, business-oriented manner.

Key Responsibilities

• Collect, clean, and validate data from multiple banking systems (e.g., loan management, treasury, trade finance, payments).
• Perform quantitative and qualitative analysis on corporate banking portfolios, including lending, deposits, trade finance, and treasury products.
• Work with stakeholders to identify business needs and translate them into data-driven solutions.
• Conduct trend, variance, and scenario analysis to support pricing, profitability, and client segmentation.
• Ensure compliance with data governance, quality, and regulatory reporting standards.
• Partner with technology teams to improve data pipelines, automate reporting, and implement advanced analytics use cases.

Required Skills & Qualifications

• Bachelor’s degree in data science, Statistics, Economics, Finance, Computer Science, or a related field.
• Minimum 7-12 years of experience as a Data Analyst, ideally within banking or financial services.
• Familiarity with statistical analysis tools (Python, R) preferred.
• Good understanding of corporate banking products (loans, deposits, trade finance, treasury, payments).
• Knowledge of risk, compliance, and regulatory reporting frameworks in banking.
• Strong analytical, problem-solving, and critical-thinking skills.
• Excellent communication skills to translate technical data into business insights.

Preferred Attributes

• Experience in data warehousing, ETL, or big data platforms (Ex: Snowflake, Hadoop, Spark).
• Exposure to machine learning techniques for credit/risk scoring or client segmentation.
• Strong business acumen with an ability to connect data insights to revenue, cost, and risk drivers.
• Ability to work in cross-functional teams within a fast-paced banking environment.

Regulatory scope (for alignment):

• MAS 610 / Notice 1003 reporting (granular data & taxonomy; DCG submissions).
• Liquidity – MAS Notice 649 (MLA & LCR), MAS Notice 652 (NSFR), MAS Notice 640 (Asset Maintenance for foreign bank branches).
• Submission channel – MAS Data Collection Gateway (DCG) via MASNET (XML/XLS payloads, validations, due-date alerts).

1) Track Checklists (Prepare before workshop)

A. Finance – Regulatory Reporting & Controls

• Production flow: Source → Staging → Reg Data Mart → Transform/Rules → XML/XLS → DCG; list all manual touchpoints & key-person risks.
• Reconciliations: GL↔️MAS (balances, P&L impacts), period-over-period variances, thresholds & narrative packs.
• Liquidity mechanics: LCR/MLA steps (HQLA sourcing, runoff/inflow rates, intragroup), NSFR scope confirmation (ASF/RSF mapping).
• Large exposures & asset maintenance (branch): aggregation logic, connected parties, qualifying asset inventory & ratio.
• DQF: critical fields (industry/country/collateral/credit quality), preventive vs detective controls, exception dashboards.
• Toolchain: current platform coverage (templates/rule packs), spreadsheet/Alteryx governance, audit trail.
• Cut-over calendar: Day-X timings, sign-off chain, resubmission protocol (DCG).
• Finance deliverables: As-is process map & RACI; GL↔️MAS reconciliation policy & variance playbook; DQ rules for high-risk fields; submission calendar & signer matrix.

B. Risk – Credit • Market • Liquidity • Operational

• Credit data to MAS: staging/NPA/forbearance flags, PD/LGD/EAD, collateral haircuts & cadence; industry/country tags; off-BS exposures.
• Concentration & LE: counterparty hierarchy/LEI mapping; related-party detection; intragroup aggregation.
• Market/Treasury interfaces: trading/banking book positions, HQLA eligibility & encumbrance tracking (align to 649).
• Liquidity assumptions: LCR runoff factors, inflow caps, operational deposits; NSFR ASF/RSF mapping library.
• Stress testing/IWST: scenario data pulls, ownership, documentation for MAS Q&A; traceability to reported numbers.
• Operational risk: incident thresholds for MAS notification; KRI linkage where reportable.
• Risk deliverables: Risk data dictionary & lineage (source→ MAS field); LE aggregation spec; Liquidity Assumptions Register (owners/approvals); Stress-test data pack template.

C. Compliance – Reg Change • Governance • Assurance

• Applicability matrix: Branch obligations across 610/1003, 649/652, 640; disclosures alignment with HO where relevant.
• Reg change mgmt.: horizon scanning, impact assessment, vendor rule-pack uptake, SOP & training updates.
• Submission governance: maker-checker, manual-adjustment policy, late-change protocol, retention.
• Issue mgmt.: MAS Q&A playbook, resubmission controls, corrective action tracking.
• Assurance: control testing plan, Internal Audit alignment, inspection readiness (“brown envelope” kit).
• Compliance deliverables: Obligations register (owners/due dates); Reg-change SOP; Controls inventory (design + OET schedule); MAS correspondence log & RACI.