29 Financial Records jobs in Indonesia

We are seeking a detail-oriented person to review, annotate, and refine financial data processed by AI models. You will ensure the accuracy of AI-generated outputs, providing essential human-in-the-loop feedback for improving model performance.

Job Description:

• Accurately label and annotate financial documents and other data, following predefined guidelines.
• Parsing the financial reports uploaded by the client into Simplifa's format
• Determining the actual account for the accounts listed in the financial report
• Review, check, and correct AI-generated outputs (such as extracted data or parsed text from documents).
• Ensure that review tasks meet the defined Service Level Agreements (SLAs) for turnaround time and accuracy.
• Provide detailed feedback on parsing errors and edge cases to help improve the AI model's accuracy.
• Generate regular reports and documentation

Requirements:

• Bachelor's degree of accounting
• Problem-solving skills and ability to interpret and refine complex data outputs.
• Ability to communicate effectively with technical teams to report issues and discuss improvements.
• Experience with financial documents such as bank statements, invoices, and balance sheets is preferred.
• Previous experience working with OCR (Optical Character Recognition) systems or AI-based parsing tools is preferred.

The Data Operations Analyst manages all aspects of data operations within the team, ensuring the accuracy, integrity, and security of financial and investment data. This role provides reliable reporting to stakeholders and requires strong technical skills, attention to detail, and collaborative abilities.

Data Management and Processing:

• Ensure the accuracy, completeness, and consistency of data extraction and aggregation of complex investment portfolio data using our proprietary aggregation software
• Identify, investigate and resolve aggregated data for inconsistencies and errors across all balances
• Dig deeply into trading history and end of day holdings data to perform reconciliation, identify account discrepancies, and find potential solutions
• Review recon output and ensure timely identification and escalation of aging exceptions

Product and Process development:

• Actively contribute to the enhancement of internal systems to drive efficiency, accuracy, and timeliness of data aggregation
• Help build tools and processes to improve and scale the data reconciliation competency
• Work with the product team on new features to understand cost and process impacts
• Ensure the security and privacy of sensitive data in compliance with regulatory requirements

Collaboration and Communication
:

• Act as escalation point for queries from Sales, Client Success & Product team to resolve clients' data-related questions
• Liaise with custodian representatives to address gaps found in financial data sources
• Provide training and support to staff on data-related processes and systems

Requirements

• Bachelor's degree in Finance, Accounting, Information Systems, or a related field, Fresh Graduates are welcome to apply
• Advanced proficiency in Microsoft Excel is a must, proficiency in Python, SQL is a bonus
• Strong analytical skills and problem-solving skills
• Understanding of financial instruments across asset classes
• A willingness to work with large data sets, approaches it as if it's a fun puzzle to solve
• Meticulous attention to detail and ability to work under pressure
• Strong communication and interpersonal skills
• Ability to work independently and as part of a team
• Proactive in seeking workflow improvements
• Experience with Tableau, Trifacta, or other data wrangling tools is highly preferred

Job description

We are seeking a
Senior Financial Data Analyst
with a strong background in
accounting or audit
to join the Acclime Atlas team. This person will be responsible for bridging the gap between financial subject-matter expertise and data analytics—helping ensure our insights are grounded, accurate, and relevant to decision-makers.

You will work closely with local finance teams across Asia, our Group Finance team, and the Data Engineering team to design, test, and deliver high-quality financial analysis and reporting.

Key Responsibilities

• Perform
  reconciliations between financial datasets
  , including local ledgers, invoice systems, and consolidated reports
• Collaborate with
  local finance teams
  to verify data accuracy, resolve discrepancies, and understand business context
• Analyse
  key financial metrics
  such as revenue, gross profit, EBITDA, cost allocations, and client profitability
• Design and propose
  new financial metrics
  that better reflect operational realities and drive smarter decisions
• Build and maintain
  dashboards in Power BI
  , with support from our data engineering team
• Participate in meetings with senior stakeholders, including Group Finance and Country Heads
• Translate analytical findings into
  clear and concise outputs
  for executive use
• Contribute to improving
  data quality and governance practices
  within the Atlas project

Requirements
:

• Bachelor's degree in Accounting, Finance, or related field
• CPA / CA qualification (mandatory)
• 4+ years of experience in accounting, audit, or FP&A roles
• Proven experience with
  multi-entity structures
  ,
  consolidated financials
  , and
  complex intercompany relationships
• Strong proficiency in
  Power BI
  and
  Microsoft Excel
• Excellent
  English communication skills
  , both written and verbal
• Confidence to work directly with
  senior finance stakeholders
  across multiple jurisdictions
• Working knowledge of
  SQL
  for querying structured datasets (preferred)
• Experience in
  professional services
  , shared services, or M&A environments (preferred)

• Collect, clean, and analyze large datasets from various financial systems, ensuring data accuracy and integrity.
• Develop and maintain financial models to forecast revenue, expenses, and profitability, identifying key trends and variances.
• Prepare comprehensive financial reports, dashboards, and presentations for senior management, highlighting key performance indicators (KPIs) and financial insights.
• Conduct in-depth analysis of financial performance, including profitability analysis, cost analysis, variance analysis, and trend analysis.
• Collaborate with accounting, finance, and business development teams to provide data-driven support for strategic initiatives and operational improvements.
• Identify opportunities for process automation and efficiency improvements within financial reporting and data analysis workflows.
• Develop and implement internal controls and procedures to ensure the accuracy and reliability of financial data.
• Stay updated on accounting standards, financial regulations, and industry best practices.
• Assist in budget preparation, financial planning, and forecasting processes.
• Communicate complex financial information clearly and concisely to both financial and non-financial stakeholders.

• Bachelor's degree in Accounting, Finance, Economics, Statistics, or a related quantitative field. A Master's degree or professional certification (e.g., CPA, CFA, CMA) is a strong advantage.
• Minimum of 7 years of progressive experience in financial analysis, accounting, or a similar data-intensive role.
• Proven experience in financial modeling, forecasting, and budgeting.
• Expertise in data analysis and visualization tools such as Excel (advanced functions, VBA), SQL, Tableau, Power BI, or similar.
• Strong understanding of accounting principles (GAAP or IFRS).
• Excellent analytical, problem-solving, and critical thinking skills with a keen eye for detail.
• Ability to manage multiple projects simultaneously and meet deadlines in a fast-paced, remote environment.
• Strong communication and presentation skills, with the ability to articulate complex financial concepts effectively.
• Experience working with ERP systems (e.g., SAP, Oracle) is a plus.
• Proactive and self-motivated with the ability to work independently.

• Develop, implement, and validate sophisticated statistical models and machine learning algorithms for financial forecasting, risk assessment, fraud detection, and customer behavior analysis.
• Lead and mentor a team of financial data scientists, providing technical guidance and career development support.
• Collaborate with business units to understand their challenges and translate them into data science projects.
• Design and execute complex data mining and analysis initiatives using large, structured and unstructured datasets.
• Present complex analytical findings and recommendations to senior management and non-technical stakeholders in a clear and concise manner.
• Ensure the quality, integrity, and accuracy of data used for analysis and modeling.
• Stay at the forefront of data science methodologies, financial modeling techniques, and emerging technologies.
• Develop and maintain robust data pipelines and analytical infrastructure.
• Contribute to the strategic planning and roadmap for data science initiatives within the organization.
• Champion data-driven decision-making across the company.

• Ph.D. or Master's degree in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, or a related discipline.
• Minimum of 8 years of experience in data science, with a significant focus on financial services.
• Proven experience in leading data science teams and managing complex analytical projects.
• Expertise in statistical modeling, machine learning algorithms (e.g., regression, classification, clustering, time series analysis, deep learning), and experimental design.
• Proficiency in programming languages commonly used in data science, such as Python or R, and associated libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Strong experience with SQL and working with large datasets, preferably in a cloud environment (AWS, Azure, GCP).
• Familiarity with big data technologies (e.g., Spark, Hadoop).
• Excellent understanding of financial markets, products, and regulatory environments.
• Exceptional analytical, problem-solving, and critical thinking skills.
• Outstanding communication and presentation skills, with the ability to influence stakeholders at all levels.

• Develop and maintain advanced financial models for forecasting, budgeting, and long-term strategic planning.
• Analyze large volumes of financial data from various sources to identify trends, anomalies, and opportunities for improvement.
• Prepare comprehensive financial reports and presentations for senior management, highlighting key performance indicators and actionable insights.
• Collaborate with cross-functional teams to understand their financial needs and provide analytical support.
• Implement and optimize data visualization tools and dashboards to effectively communicate financial performance.
• Conduct variance analysis and explain deviations from budget and forecasts.
• Ensure the accuracy, integrity, and security of financial data.
• Stay updated on financial regulations, accounting principles, and industry best practices.
• Mentor junior analysts and provide guidance on data analysis techniques and tools.
• Proactively identify areas where data analytics can drive better financial decision-making.

• Bachelor's degree in Finance, Accounting, Economics, Data Science, or a related quantitative field.
• Minimum of 5 years of progressive experience in financial analysis, data analysis, or a related role.
• Proficiency in financial modeling, forecasting techniques, and statistical analysis.
• Expertise in data manipulation and analysis tools such as Excel (advanced functions, VBA), SQL, Python, or R.
• Experience with business intelligence and data visualization tools (e.g., Tableau, Power BI).
• Strong understanding of accounting principles and financial statements.
• Excellent analytical, problem-solving, and critical thinking skills.
• Exceptional communication and presentation skills, with the ability to convey complex financial information clearly and concisely.
• Proven ability to work independently and manage multiple projects in a remote setting.
• Experience in a remote work environment is highly preferred.

• Collect, clean, and organize large financial datasets from various sources.
• Perform in-depth financial analysis, including variance analysis, trend analysis, and root cause analysis.
• Develop and maintain financial models for budgeting, forecasting, and scenario planning.
• Identify key performance indicators (KPIs) and track progress against financial targets.
• Create insightful reports, presentations, and dashboards to communicate financial performance to stakeholders.
• Collaborate with finance, accounting, and other departments to gather data and understand business requirements.
• Provide analytical support for strategic initiatives, investment decisions, and business development.
• Utilize data analysis and visualization tools (e.g., Excel, SQL, Tableau, Power BI) to derive insights.
• Stay updated on financial industry best practices and emerging data analysis techniques.
• Ensure data accuracy, integrity, and compliance with financial regulations.
• Identify opportunities for process improvements in financial reporting and analysis.
• Support ad-hoc analytical requests from management.

• Bachelor's degree in Finance, Accounting, Economics, Statistics, or a related quantitative field. Master's degree or professional certifications (CFA, CMA) are a plus.
• Minimum of 5 years of experience in financial analysis, data analysis, or a related role.
• Strong understanding of financial principles, accounting concepts, and reporting standards.
• Proven expertise in financial modeling, forecasting, and valuation techniques.
• Proficiency in advanced Excel functions, SQL, and data visualization tools (e.g., Tableau, Power BI).
• Excellent analytical, quantitative, and problem-solving skills.
• Strong communication and presentation skills, with the ability to explain complex data effectively.
• Ability to work independently and manage multiple projects in a remote environment.
• Detail-oriented with a high degree of accuracy.
• Experience with ERP systems and financial databases is desirable.