Total 8 Senior Executive accounting analyst job vacancies in Malaysia

Responsibilities:

• Managing and overseeing the daily operations of the accounting department.
• Monitoring and analyzing accounting data and produce financial reports or statements.
• Establishing and enforcing proper accounting methods, policies and principles.
• Coordinate and complete annual audits.
• Provide recommendations.
• Improve systems and procedures and initiate corrective actions.
• Assign projects and direct staff to ensure compliance and accuracy.
• Meet financial accounting objectives.
• Establish and maintain fiscal files and records to document transactions.

• Requirements: Possess at least a Diploma or Bachelor's Degree
• Proven working experience as Accounting Supervisor
• Advanced computer skills on MS Office, accounting software and databases.
• Proven knowledge of bookkeeping and accounting principles, practices, standards, laws and regulations.
• Attention to detail and accuracy.
• Strong leadership skills, proactive and result-oriented.

Perks & Benefits

• Commission and bonus
• Flexible working hours
• Casual dress code
• Free snacks / Happy hours
• Regular team activities
• Company trips
• Medical insurance
• Paid training and development

職責：

• 管理和監督會計部門的日常運作。
• 監控和分析會計數據，並編制財務報告或報表。
• 建立和執行適當的會計方法、政策和原則。
• 協調並完成年度審計工作。
• 請提出建議。
• 改進系統和流程，並啟動糾正措施。
• 分配專案並指導員工，以確保合規性和準確性。
• 達到財務會計目標。
• 建立並維護財務檔案和記錄，以記錄交易。

• 要求：至少擁有大專或大學學歷
• 擁有會計主管的豐富工作經驗
• 熟練微軟辦公室軟體、會計軟體和資料庫等電腦技能。
• 具備紮實的簿記和會計原則、實務、標準、法律法規知識。
• 注重細節和準確性。
• 具備較強的領導能力，積極主動，以結果為導向。

福利待遇

• 佣金和獎金
• 彈性的工作時間
• 休閒著裝要求
• 免費小吃/歡樂時光
• 定期團隊活動
• 公司旅行
• 醫療保險
• 有薪培訓和發展

The scope of this role comprises the South ASEAN Hub (Malaysia, Singapore, Brunei, Indonesia), where responsibilities include but not limited to:

• Manage the multi-country payroll processing and related statutory reporting, in compliance to legal, tax and regulatory requirements in a timely manner.
• Manage third-party payroll vendors as needed (for selected region).
• Perform financial closing for payroll related transactions.
• Prepare and post payroll related journal entries.
• Prepare monthly payroll related GL account analysis and clear open items.
• Handle expatriates tax compliance.
• Perform a standard set of internal control procedures for the regions’ payroll processes.
• Process employees’ claims reimbursements per company policy. 
• Collect and provide requested information for tax, internal, corporate, labor ministry & local authorities’ audits.
• Performs other duties as assigned.
• Complies with all policies and standards.

Perks & Benefits

• Medical insurance
• Free parking
• Subsidised meals
• Hybrid work

Job Description

You will join SEEK as a Senior Business Analyst in the AI and Platform Services (AIPS) Delivery and Operations function, reporting to the Program Manager and working with AI Product Managers, Engineers and Data Scientists — including the Pricing and Performance team — to deliver high-value AI products using cutting-edge technology.

You will lead complex business analysis across AI product initiatives, from requirements and process design through to agile delivery, risk management and change adoption, ensuring new AI-driven systems and processes deliver measurable business outcomes that support SEEK's purpose of helping people live more fulfilling and productive working lives.

Key Responsibilities

• Engage stakeholders to define AI product initiative scope, objectives and deliverables, and gather and validate requirements and feedback across the lifecycle.
• Lead the collection and documentation of complex business requirements, user stories, use cases and acceptance criteria for AI product initiatives.
• Analyse, prioritise and trace requirements, clarifying scope, dependencies and business value to guide decision-making.
• Map and document current ("as-is") and future ("to-be") business processes to enable business transformation and AI-driven improvements.
• Support solution design and assess proposed solutions against stakeholder needs, ensuring they deliver measurable value and quality outcomes.
• Drive agile delivery by leading iteration planning, backlog refinement, reviews and retrospectives, monitoring progress and driving continuous improvement.
• Identify and manage technical, operational and market risks, support change management, and help embed new systems or processes with stakeholders.
• Facilitate workshops and cross-functional meetings, coach and mentor junior team members, and share best practices across BA and AIPS communities.
• Collaborate on test case development and support testing and defect resolution to ensure solutions meet agreed requirements and standards.
• Liaise with third-party vendors as needed, supporting SLA compliance and contributing to recruitment and onboarding activities in the team.

Get to Know the Team

The Integrity team is dedicated to safeguarding our users on Grab. We are building a centralized, unified Risk and Compliance technology platform using Grab's proven risk and compliance tech, GrabDefence. We use our datasets and advanced AI capabilities to address critical challenges, from ensuring safety and preventing fraud to achieving regulatory compliance. We are involved in the entire data lifecycle, including analyzing user behavior, identifying financial crime anomalies, and developing detection and prevention modules across user onboarding and transaction journeys.

Get to Know the Role

Reporting to the Senior Analytics Manager in the Integrity team, you will be a key analytics partner in operationalizing the Unified Risk Platform that manages risk across the Grab Ecosystem. You will conduct deep-dive analysis on user behaviors, product funnels, and transaction patterns to identify potential risks and new fraud typologies on our partner platforms. Your data-driven insights will directly guide the design of risk detection strategies, the optimization of shared AI/Machine Learning models, and the implementation of crucial risk controls to safeguard a diverse user base from multiple types of fraud and financial crime.

This role is based onsite in our Petaling Jaya office.

The Critical Tasks You Will Perform

• You will be the subject matter expert in using data to analyze fraud loss, business/product performance, and the effectiveness of risk controls across different Grab business verticals.
• You will lead the identification of new fraud and risk patterns, developing data-driven rules and strategies to address potential risks using advanced methods like Graph-Based Detection.
• You will conduct statistical analyses to ensure the accuracy and efficiency of detection systems, maintaining data and rule integrity.
• You will architect automated self-serve capabilities for stakeholders to monitor key risk metrics, attack patterns, and the efficiency of fraud/AML detection systems.
• You will collaborate with Grab business teams to support data extractions, audits, and compliance requirements, ensuring all necessary data is provided for assessments.
• You will conduct experiments to evaluate the effectiveness of risk controls and recommend improvements based on findings.

About GoTymeX

GoTymeX is the product, technology and data analytics hub of GoTyme Group. At GoTymeX, we're reimagining digital banking across emerging markets, across South Africa and Asia. Our mission is to unlock human potential, and we aim to do so through the development of transformative financial services that empower individuals and small businesses. We believe in the power of digital in building products that make a real difference in our customers' lives. Today, our products serve more than 22 million customers.

About the Credit Card Product

We are building a group-level credit card product — launching across the Philippines and South Africa — on a modern global stack. The analytical function at the heart of this programme has never existed before. We’re creating it now — and we’re looking for the person to build it from zero with us.

Where This Role Sits

You will report directly to the Director of Product, and work day-to-day alongside the Credit Card Product Owners, Engineers, Designers and Business Analysts. You will carry a dotted-line to the Head of Data & Analytics, giving you deep technical mentorship while remaining fully embedded in the product team. You will collaborate regularly with in-country data and credit risk analysts across the Philippines and South Africa.

Why Work with GoTymeX

• Innovation-driven environment: Work with the latest technologies including Serverless aspects of AWS Cloud, AI-augmented engineering, microservices, Java, and Python
• International and collaborative culture: Be part of a dynamic team that values collaboration, continuous learning, and personal growth
• Competitive benefits: Enjoy a comprehensive benefits package, opportunities for professional development (see below) • Learning and development: Access to technical seminars, conferences, career talks, and overseas training to accelerate your career advancement and ensure continuous growth
• Impactful work: Contribute to projects that directly influence financial empowerment and access in emerging markets

About This Role:

The Senior Product Insights Analyst is the analytical engine of this team, owning the narrative behind every product decision. This isn’t a reporting role. It’s a product intelligence function. You’ll build the analytical foundation for our credit card business, identify what’s working and what isn’t, and tell us — with confidence — what to do about it.

Key Responsibilities

Product & Business Performance

• Own end-to-end performance analytics: activation, engagement, spend, repayment, and retention across all markets
• Track and interpret key KPIs — NPS, activation rates, digital adoption, unit economics (interchange, fee revenue, loyalty costs, ECL contribution) — and translate findings into clear product and commercial storylines
• Monitor portfolio health: revolve rates, payment behaviour, limit utilisation, and cohort evolution — with forward-looking commentary, not just snapshots
• Identify performance inflection points early and generate root-cause hypotheses — don’t wait to be asked

Funnel, Onboarding & Product Development Lifecycle Support

• Analyse the full acquisition and onboarding funnel — from application through activation and first spend — and size improvement opportunities
• Embed in sprint ceremonies and product rituals; define measurement frameworks for new features before they go live
• Provide pre-launch data readiness checks and post-launch performance reads for every release
• Support A/B testing and experiment design to evaluate product and go to market initiatives Insight Generation & Strategic Recommendations
• Go beyond the numbers — synthesise analysis into conclusions, flag strategic implications, and propose concrete product or commercial actions
• Proactively surface insights the team didn’t know to ask for: behavioural patterns, market signals, competitive benchmarks • Support go to market strategy, value proposition testing, and loyalty/rewards design with databacked recommendations
• Partner with in-country analytics and credit risk teams to validate and localise findings across the Philippines and South Africa Dashboards, Tooling & AI Utilisation
• Build and maintain self-serve dashboards in Databricks and Mixpanel covering business performance, funnel health, portfolio trends, and unit economics
• You’ll use the best of modern AI tooling — Claude, Cursor, Databricks AI — to compress the time from question to answer. In our environment, fast insight beats slow perfection
• Contribute to analytics best practices, documentation, and data quality standards across the Credit Card programme

Insight Generation & Strategic Recommendations

• Go beyond the numbers — synthesise analysis into conclusions, flag strategic implications, and propose concrete product or commercial actions
• Proactively surface insights the team didn’t know to ask for: behavioural patterns, market signals, competitive benchmarks • Support go to market strategy, value proposition testing, and loyalty/rewards design with databacked recommendations
• Partner with in-country analytics and credit risk teams to validate and localise findings across the Philippines and South Africa Dashboards, Tooling & AI Utilisation
• Build and maintain self-serve dashboards in Databricks and Mixpanel covering business performance, funnel health, portfolio trends, and unit economics
• You’ll use the best of modern AI tooling — Claude, Cursor, Databricks AI — to compress the time from question to answer. In our environment, fast insight beats slow perfection
• Contribute to analytics best practices, documentation, and data quality standards across the Credit Card programme
  

Technical Skills

• SQL: expert-level — complex queries, window functions, optimisation at scale
• Python / PySpark: proficient for data manipulation, statistical analysis, and automation
• BI / Visualisation: Databricks and Mixpanel (primary); Tableau or similar also acceptable
• Statistics: hypothesis testing, cohort analysis, and experimental design
• AI-augmented analytics: demonstrated daily use of AI tools to accelerate insight generation and automate workflows — this is an expectation, not a nice-to-have

Domain Experience

• 5+ years in data/analytics; financial services, fintech, or banking required
• Lending domain strongly preferred — credit card, BNPL, or personal loans. Terms like revolve rate, vintage analysis, and ECL contribution should be second nature, not new vocabulary
• Exposure to credit risk concepts (vintage analysis, ECL, delinquency) is a meaningful advantage
• Experience with customer lifecycle analytics: acquisition, activation, engagement, retention, and churn

Core Competencies

• End-to-end ownership: raw data to recommendation — accountable for whether it’s right
• Insight, not just analysis: “here’s what the data shows, here’s what I think it means, here’s what I’d do” — every time
• Speed: good-enough-fast beats perfect-and-late in a high-velocity build environment
• Proactivity: you spot the question before it’s asked and flag the signal before it becomes a problem
• Data literacy leadership: you raise the analytical bar of everyone around you — not just your own output

Preferred Qualifications

• Bachelor’s or Master’s in Mathematics, Statistics, Economics, Computer Science, or related quantitative field
• Experience in a multi-market or multi-country product environment
• Familiarity with Visa/Mastercard reporting tools or card management system platforms
• Background in high-growth startup or digital bank environments

Responsible for B2B integration system and implementing EDI onboard (Electronic Data Interchange). Ensuring smooth and success onboard adoption and continuous engagement with trading partners. This role works closely with internal and external stakeholders to coordinate onboarding activities. Understanding of EDI concept and working knowledge with RossetaNet and other exchange method standards to enable seamless data exchange between the organization and trading partners.

Key Responsibilities:

• Support and communicate with IT, Business and External Partners.
• Coordinate end-to-end onboarding process for new B2B trading partners.
• Prepare and validate onboarding documentation and required system setup.
• Work together with business to conduct onboarding sessions, communication for technical and business B2B specification. Including partner testing.
• Strong problem-solving and decision-making skills to interpret and or analyse especially during interface testing.
• Robust analytical skills to review and interpret business documents (FDS and FUT).
• Handle SAP IDOC mapping, Partner profile and output condition conversion configuration and interfaces testing.

As a Senior Marketing Data Analyst, you will leverage your expertise to directly impact the marketing strategy and growth of our 16 markets by delivering actionable insights and advanced analytics solutions. In this role, you’ll work as an embedded thought partner with senior marketing stakeholders to influence strategy and marketing tactics, mentor junior analysts, and leverage AI to build the future of marketing analytics. This is a high-visibility position that plays a pivotal role in data-driven decision-making.

• Strategic Marketing Analysis: Design and execute robust analytical methodologies ranging from A/B tests/geo testing/holdouts to MMM modeling in order to measure incremental ROI and make actionable recommendations regarding marketing spend optimization and tactical execution of marketing initiatives
• Stakeholder Engagement & Influence: Collaborate closely with senior marketing partners to understand strategic objectives, recommend analytics solutions, negotiate priorities, and present insights effectively.
• Advanced Data Modeling & Measurement: Define measurement frameworks and metric definitions for key marketing initiatives; Lead the development of complex SQL models to implement as well as transform massive datasets into actionable insights using tools like BigQuery and dbt.
• Strategic Reporting & Visualization: Design and build compelling, user-friendly data assets including both traditional dashboards (e.g. Looker, Tableau) and agentic solutions (e.g. root-cause analysis agents) that facilitate decision-making for business leaders. 
• Mentorship & Development: Provide guidance and mentorship to junior analysts, enhancing their technical skills and fostering a collaborative team environment.
• AI-Driven Analytics & Automation: Identify, design, and implement AI-powered solutions that transform how marketing analytics operates — including agentic workflows (e.g. root-cause analysis agents, automated anomaly detection), LLM-assisted insight generation, and prompt-engineered pipelines. Translate repeatable analyst workflows into scalable AI tools. Act as a driver of AI adoption within the team, setting standards and upskilling junior analysts.

Find out more about our Data Analytics folks here: 

• Turn insights into impact!
• Looking for a career in data analytics? This could be the opportunity for you!