Senior Analyst, Strategic Data Analytics (Contract)

Maybank Investment Banking Group; Singapore; On-site; SGD 90,000 - 130,000; Full time

Job summary

Maybank Securities in Singapore seeks a Senior Business Data Analyst to own data strategy and analytics for Prime Brokerage, while collaborating with Retail analysts and mentoring a junior analyst.

You will build high-impact dashboards, automate reporting, ensure data governance, and align insights with strategic growth across Prime and Retail.

The role demands strong Excel, SQL, and Python skills, with a proactive, collaborative approach in a fast-paced brokerage environment.

Qualifications

• Degree in Finance, Mathematics, Data Science, Quantitative Finance, or a related field.
• Min 3 to 5 years of analytical experience, preferably within Prime Brokerage, Equity Finance, Delta-One, or Securities Lending.
• Strong understanding of Prime Brokerage products (CFDs, Swaps, SBL, Margin Financing), financing economics, margining rules, and P&L drivers. Familiarity with Retail brokerage operations is a strong plus.
• Ability to manipulate and handle structured and unstructured large datasets independently
• Good understanding of data architecture, database schemas, and hands-on experience with backend ETL processes.

Responsibilities

• Prime Brokerage Domain Ownership: Track and analyze daily revenue, margins, and exposure across all Prime products (CFD, Equity Swap, SBL, Margin Financing, Cash Equities, Custody).
• Audit client activities, leverage changes, and funding/borrow movements to identify, investigate, and elevate abnormal trading behaviors or financial risks.
• Provide deep-dive analysis on client profitability, concentration risks, and capital utilization to help the Product and Finance teams optimize borrow spreads, financing costs, and yield.
• Actively build cross-functional knowledge to support and step in on Retail trading performance, behavioral trends, and campaign analysis when required.
• Partner with the Head of Department to align data insights with broader business strategy, helping to challenge financial figures and drive strategic growth across both Prime and Retail pillars.
• Design, build, and maintain interactive, high-impact dashboards tracking KPIs, margin/exposure analytics, and product-level performance.
• Spearhead initiatives to automate manual reporting processes, streamline backend data pipelines, and improve data visibility for key business stakeholders.
• Ensure data handling aligns with security, compliance, and regulatory standards. Participate in UAT testing for new product launches and system migrations.

Skills

Excel & PowerPoint

SQL

Dashboarding tool

Python

Education

Finance / Mathematics / Data Science degree

Job description

Maybank Securities, a leading brokerage and investment bank with a reach extending across ASEAN, the UK and the US, offers a comprehensive suite of services. These include corporate finance & advisory, navigating debt and equity capital markets, derivatives trading, brokerage and research for both retail and institutional investors, and prime brokerage.

Role Overview

As a Senior Business Data Analyst within our newly formed Strategic Data Analytics & Insights department, you will play a pivotal role in driving data strategy, process automation, and commercial intelligence across our core business lines.

Your primary focus will be owning the data ecosystem and strategic analysis for our Prime Brokerage business. However, as a senior member of this lean team, you will take a holistic approach—collaborating closely with our Retail business analysts, providing cross-coverage for the Retail portfolio, and mentoring a junior analyst to elevate the team’s overall technical and analytical capabilities.

Job Description

1. Prime Brokerage Domain Ownership (Primary Focus)

• Revenue & Exposure Monitoring: Track and analyze daily revenue, margins, and exposure across all Prime products (CFD, Equity Swap, SBL, Margin Financing, Cash Equities, Custody).
• Investigative Analytics: Audit client activities, leverage changes, and funding/borrow movements to proactively identify, investigate, and elevate abnormal trading behaviors or financial risks.
• Commercial Insights: Provide deep-dive analysis on client profitability, concentration risks, and capital utilization to help the Product and Finance teams optimize borrow spreads, financing costs, and yield.
• Retail Business Cross-Coverage: Actively build cross-functional knowledge to support and step in on Retail trading performance, behavioral trends, and campaign analysis when required.
• Strategic Alignment: Partner with the Head of Department to align data insights with broader business strategy, helping to challenge financial figures and drive strategic growth across both Prime and Retail pillars.
• Reporting & Dashboards: Design, build, and maintain interactive, high-impact dashboards tracking KPIs, margin/exposure analytics, and product-level performance.
• Process Automation: Spearhead initiatives to automate manual reporting processes, streamline backend data pipelines, and improve data visibility for key business stakeholders.
• Data Governance & Product Support: Ensure data handling aligns with security, compliance, and regulatory standards. Participate in UAT testing for new product launches and system migrations.

Requirements

• Degree in Finance, Mathematics, Data Science, Quantitative Finance, or a related field.
• Min 3 to 5 years of analytical experience, preferably within Prime Brokerage, Equity Finance, Delta-One, or Securities Lending.
• Strong understanding of Prime Brokerage products (CFDs, Swaps, SBL, Margin Financing), financing economics, margining rules, and P&L drivers. Familiarity with Retail brokerage operations is a strong plus.
• Ability to manipulate and handle structured and unstructured large datasets independently
• Good understanding of data architecture, database schemas, and hands‑on experience with backend ETL processes.

Technical Skillset

• Expert in Microsoft Excel and PowerPoint
• Advanced SQL proficiency (will be tested during interviews)
• Proficient in using dashboarding tool
• Python is highly preferred (will be tested during interviews)

Core Competencies

• Analytical Rigor: Proven ability to audit complex data, detect anomalies quickly, and confidently challenge financial figures.
• Business Translation: Excellent stakeholder skills with a track record of turning complex data into strategic business decisions.
• Ownership & Agility: A proactive self-starter who can manage multiple projects independently in a fast‑paced brokerage environment.
• Process Automation: A continuous‑improvement mindset with demonstrated experience streamlining workflows and automating manual processes.
• Collaborative Leadership: A strong team player with the maturity to collaborate across departments and mentor junior analysts.