14 Financial Records jobs in Bahrain
Senior Financial Data Analyst
Posted 2 days ago
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Job Description
Key Responsibilities:
- Collect, clean, and analyze large datasets from various financial systems to identify trends, patterns, and anomalies.
- Develop and maintain financial models, forecasts, and reports to support business planning and performance evaluation.
- Create compelling data visualizations and dashboards to communicate complex financial information to stakeholders at all levels.
- Conduct deep-dive analysis into key financial metrics, such as profitability, revenue streams, cost drivers, and market performance.
- Collaborate with finance teams to streamline reporting processes and enhance data accuracy.
- Identify opportunities for process improvements and cost optimization through data analysis.
- Provide insights and recommendations to support strategic initiatives and investment decisions.
- Stay current with industry trends, regulatory changes, and best practices in financial analysis.
- Ensure data integrity and adherence to data governance policies.
- Develop and automate reporting processes where possible to increase efficiency.
- Present findings and recommendations clearly and concisely to senior management.
- Mentor junior analysts and contribute to the development of the data analytics function.
- Bachelor's degree in Finance, Economics, Statistics, Mathematics, or a related quantitative field. A Master's degree is a plus.
- Minimum of 5 years of experience in financial analysis, data analytics, or a similar role, preferably within the financial services industry.
- Proficiency in SQL for data extraction and manipulation.
- Advanced skills in Excel, including complex formulas, pivot tables, and VBA.
- Experience with data visualization tools such as Tableau, Power BI, or similar.
- Strong understanding of financial statements, accounting principles, and key financial metrics.
- Excellent analytical, problem-solving, and critical-thinking skills.
- Ability to translate complex data into clear, actionable business insights.
- Strong communication and presentation skills, with the ability to engage with diverse audiences.
- Experience working in a remote environment, demonstrating strong self-discipline and time management skills.
- Knowledge of financial modeling techniques and statistical analysis is highly desirable.
Senior Financial Data Analyst
Posted 5 days ago
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Job Description
Responsibilities:
- Analyze complex financial data sets to identify trends, patterns, and insights that drive strategic business decisions.
- Develop and maintain financial models, forecasts, and budgets to support planning and performance management.
- Prepare comprehensive financial reports, dashboards, and presentations for senior management and various stakeholders.
- Collaborate with accounting and finance teams to ensure data accuracy and integrity.
- Implement and optimize data analysis tools and methodologies to enhance efficiency and effectiveness.
- Conduct variance analysis, profitability analysis, and other key financial performance metrics.
- Identify opportunities for cost savings and revenue enhancement through data-driven analysis.
- Stay current with accounting standards, financial regulations, and industry best practices.
- Automate reporting processes and improve data collection methods.
- Communicate findings and recommendations clearly and concisely to both financial and non-financial audiences.
- Contribute to the development of financial strategies and long-term planning.
- Bachelor's degree in Accounting, Finance, Economics, or a related quantitative field. A Master's degree or CPA/CMA certification is highly desirable.
- 5+ years of experience in financial analysis, accounting, or a related data-intensive role.
- Proficiency in financial modeling, forecasting, and budgeting techniques.
- Advanced skills in data analysis and visualization tools such as Excel (advanced functions, VBA), SQL, Tableau, Power BI, or similar.
- Strong understanding of accounting principles (GAAP/IFRS).
- Experience with ERP systems and financial databases.
- Excellent analytical, problem-solving, and critical thinking skills.
- Exceptional attention to detail and commitment to accuracy.
- Strong communication and presentation skills, with the ability to articulate complex financial information effectively.
- Ability to work independently, manage multiple priorities, and meet deadlines in a remote environment.
Remote Senior Financial Data Analyst
Posted 4 days ago
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Job Description
As a Senior Financial Data Analyst, you will be responsible for collecting, processing, and analyzing large datasets related to financial performance, market trends, and operational efficiency. Your work will involve developing sophisticated financial models, forecasts, and projections to support business planning and investment strategies. You will create detailed reports and visualizations using advanced analytical tools and business intelligence software, presenting your findings clearly and concisely to senior management and various business units. The role requires identifying trends, anomalies, and opportunities within financial data, and providing strategic recommendations based on your analysis. You will collaborate closely with finance, accounting, and business development teams to understand their data needs and deliver tailored analytical solutions. A key aspect of this role involves ensuring data accuracy, integrity, and security. You will also contribute to the development and improvement of data infrastructure and analytical processes. Proficiency in SQL, Python or R for data manipulation and analysis, along with experience in BI tools like Tableau or Power BI, is essential. You should possess a deep understanding of accounting principles, financial reporting standards, and investment analysis. The ability to translate complex analytical results into business implications is crucial. This is a remote-first opportunity, demanding strong self-discipline, excellent time management skills, and the ability to communicate effectively across virtual channels.
Key Responsibilities:
- Collect, clean, and analyze large financial datasets.
- Develop and maintain financial models, forecasts, and projections.
- Create comprehensive financial reports and data visualizations.
- Identify financial trends, risks, and opportunities.
- Provide data-driven recommendations to senior management.
- Collaborate with finance and business teams to address analytical needs.
- Ensure data accuracy, integrity, and adherence to financial standards.
- Contribute to the enhancement of data analytics processes and infrastructure.
- Utilize SQL, Python/R, and BI tools for data analysis and reporting.
- Master's degree in Finance, Accounting, Economics, or a quantitative field.
- 5+ years of experience in financial analysis, data analytics, or a similar role.
- Proven experience with financial modeling and forecasting techniques.
- Expertise in SQL, Python or R for data analysis.
- Proficiency in BI tools such as Tableau, Power BI, or QlikView.
- Strong understanding of accounting principles and financial reporting.
- Excellent analytical, problem-solving, and critical thinking skills.
- Exceptional communication and presentation abilities.
- Demonstrated ability to work independently and manage workload effectively in a remote setting.
Remote Senior Financial Data Analyst
Posted 5 days ago
Job Viewed
Job Description
Responsibilities:
- Collect, analyze, and interpret large volumes of financial data.
- Develop and maintain financial models for forecasting and planning.
- Create insightful reports, dashboards, and visualizations using BI tools.
- Perform variance analysis and identify key drivers of financial performance.
- Evaluate the financial impact of business decisions and strategies.
- Collaborate with cross-functional teams to gather data requirements.
- Ensure data accuracy, integrity, and consistency.
- Present financial findings and recommendations to senior management.
- Identify opportunities for process improvements in data analysis and reporting.
- Stay abreast of industry trends and best practices in financial analysis.
- Bachelor's degree in Finance, Economics, Statistics, or a related quantitative field; Master's degree or MBA preferred.
- Proven experience as a Financial Data Analyst or similar role.
- Advanced proficiency in Excel, SQL, and statistical programming languages (Python/R).
- Experience with business intelligence and data visualization tools (e.g., Tableau, Power BI).
- Strong understanding of accounting principles and financial reporting.
- Excellent analytical, quantitative, and problem-solving skills.
- Superior communication and presentation skills.
- Ability to work independently and manage multiple priorities in a remote setting.
- Detail-oriented with a high level of accuracy.
Senior Data Scientist, Financial Analytics
Posted 4 days ago
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Job Description
Responsibilities:
- Develop and implement advanced statistical models and machine learning algorithms to address business challenges in areas such as fraud detection, credit scoring, customer segmentation, and algorithmic trading.
- Extract, clean, and transform large, complex datasets from various sources, ensuring data integrity and preparing it for analysis.
- Design and conduct experiments to test hypotheses and validate model performance.
- Collaborate closely with product managers, engineers, and business stakeholders to understand data needs and translate them into analytical solutions.
- Communicate complex findings and insights clearly and concisely to both technical and non-technical audiences through visualizations and reports.
- Stay up-to-date with the latest research and advancements in data science, machine learning, and artificial intelligence, and explore their application to our business.
- Build and maintain data pipelines, robust analytical frameworks, and production-ready code.
- Mentor junior data scientists and contribute to the growth of the data science team.
- Ensure ethical data handling practices and compliance with relevant regulations.
- Contribute to the strategic direction of data-driven initiatives across the organization.
- Master's or Ph.D. in a quantitative field such as Computer Science, Statistics, Mathematics, Physics, Economics, or a related discipline.
- Minimum of 5-7 years of professional experience as a Data Scientist, with a proven track record in applying advanced analytical techniques to real-world problems, preferably in the financial sector.
- Strong proficiency in programming languages such as Python or R, and experience with relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch, Pandas, NumPy).
- Expertise in SQL and experience working with large-scale databases and data warehousing technologies.
- In-depth knowledge of statistical modeling, machine learning algorithms (e.g., regression, classification, clustering, deep learning), and their practical applications.
- Experience with cloud platforms (e.g., AWS, Azure, GCP) and big data technologies (e.g., Spark, Hadoop) is a plus.
- Excellent problem-solving skills and the ability to think critically and creatively.
- Strong communication and presentation skills, with the ability to explain technical concepts to diverse audiences.
- Ability to work independently, manage time effectively, and deliver high-quality results in a remote setting.
- Experience with financial data and regulatory requirements is highly desirable.
Graduate Data Analyst - Financial Services
Posted 5 days ago
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Job Description
Key Responsibilities:
- Assist in collecting, organizing, and cleaning large datasets from various sources.
- Perform data analysis using statistical techniques and data visualization tools.
- Generate reports and dashboards to present findings to stakeholders.
- Support senior analysts in developing predictive models and analytical frameworks.
- Identify patterns and trends in financial data to provide actionable insights.
- Collaborate with cross-functional teams to understand data needs and requirements.
- Contribute to the development and maintenance of data quality standards.
- Learn and apply new analytical tools and methodologies.
- Assist in preparing presentations and documentation for data-driven projects.
- Ensure data integrity and accuracy throughout the analysis process.
Junior Data Analyst - Financial Markets
Posted 5 days ago
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Job Description
Key Responsibilities:
- Assist in collecting, cleaning, and validating financial market data from various sources.
- Perform exploratory data analysis to identify patterns, anomalies, and potential insights.
- Create clear and concise data visualizations (charts, graphs, dashboards) to communicate findings.
- Support senior analysts in developing financial models and performance reports.
- Collaborate with team members on ad-hoc data requests and research projects.
- Learn and apply statistical techniques to analyze market movements and economic indicators.
- Contribute to the continuous improvement of data management processes and tools.
- Participate in team meetings and contribute to discussions on market trends and analysis.
- Maintain data integrity and ensure compliance with data governance policies.
- Develop a strong understanding of financial instruments and market dynamics.
Qualifications:
- Currently pursuing or recently completed a Bachelor's or Master's degree in Finance, Economics, Statistics, Data Science, Mathematics, or a related quantitative field.
- Proficiency in Microsoft Excel, including advanced functions like pivot tables and VLOOKUPs.
- Basic understanding of statistical concepts and data analysis principles.
- Familiarity with data visualization tools (e.g., Tableau, Power BI) is a plus.
- Exposure to programming languages such as Python or R for data analysis is advantageous.
- Strong analytical and problem-solving abilities with keen attention to detail.
- Excellent written and verbal communication skills.
- Ability to work independently and collaboratively in a remote setting.
- Proactive attitude and eagerness to learn new technologies and methodologies.
- A genuine interest in financial markets and investment strategies.
This role is based in Zallaq, Southern, BH but operates entirely remotely, offering flexibility and a chance to work with a global team.
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Junior Data Analyst - Financial Services
Posted 5 days ago
Job Viewed
Job Description
Responsibilities:
- Assist in collecting, cleaning, and organizing large datasets from various sources.
- Perform exploratory data analysis to identify trends, patterns, and anomalies.
- Support the development and generation of regular and ad-hoc reports and dashboards.
- Create clear and insightful data visualizations to communicate findings effectively.
- Collaborate with team members to understand data requirements and deliver requested analysis.
- Help in validating data accuracy and integrity.
- Learn and apply statistical techniques to analyze data.
- Assist in documenting data processes and methodologies.
- Gain exposure to data analysis tools and technologies used within the financial industry.
- Participate in team meetings and contribute ideas for improving data processes.
- Currently pursuing or recently completed a Bachelor's or Master's degree in Statistics, Mathematics, Economics, Computer Science, or a related quantitative field.
- Foundational understanding of statistical concepts and data analysis techniques.
- Proficiency in at least one data analysis tool or programming language such as SQL, Python (with libraries like Pandas, NumPy), or R is highly desirable.
- Familiarity with data visualization tools (e.g., Tableau, Power BI) is a plus.
- Strong analytical and problem-solving skills with a keen eye for detail.
- Excellent written and verbal communication skills.
- Ability to work independently and as part of a team.
- Eagerness to learn and adapt to new technologies and methodologies.
- Prior internship or project experience in data analysis is a plus.
Senior Data Analyst, Financial Reporting
Posted 5 days ago
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Job Description
Remote Senior Data Scientist - Financial Modeling
Posted 4 days ago
Job Viewed
Job Description
Responsibilities:
- Design, develop, and implement complex statistical and machine learning models for financial forecasting, risk assessment, and fraud detection.
- Analyze large, intricate datasets to extract actionable insights and identify trends relevant to financial markets and customer behavior.
- Collaborate with cross-functional teams, including finance, product, and engineering, to define modeling requirements and integrate solutions.
- Build and maintain robust data pipelines and ETL processes for model training and deployment.
- Evaluate model performance, conduct A/B testing, and iterate on models to improve accuracy and efficiency.
- Communicate complex findings and recommendations clearly and concisely to both technical and non-technical stakeholders.
- Mentor junior data scientists and contribute to the team's technical growth.
- Stay current with the latest advancements in data science, machine learning, and financial analytics.
- Ensure data integrity, model explainability, and adherence to ethical data practices.
- Contribute to the strategic roadmap for data science initiatives within the organization.
Qualifications:
- Master's or Ph.D. in Computer Science, Statistics, Mathematics, Economics, or a related quantitative field.
- Extensive professional experience as a Data Scientist, with a strong focus on financial modeling and analysis.
- Proficiency in programming languages such as Python or R, and experience with relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch, pandas, NumPy).
- Deep understanding of statistical modeling, machine learning algorithms, and time-series analysis.
- Experience with SQL and working with large-scale relational and non-relational databases.
- Familiarity with cloud platforms (AWS, Azure, GCP) and big data technologies (e.g., Spark, Hadoop).
- Excellent problem-solving skills and the ability to translate business problems into data science solutions.
- Strong communication and presentation skills, with the ability to articulate technical concepts to diverse audiences.
- Proven ability to work independently and collaboratively in a remote team environment.
- Experience in the fintech or banking industry is a significant advantage.
This is an exceptional opportunity to make a significant impact in a remote capacity for a leader in financial technology. If you possess a passion for data and a track record of delivering impactful financial insights, we encourage you to apply.