394 Management Analyst jobs in Bahrain
Senior Risk Management Analyst
Posted 1 day ago
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Senior Risk Management Analyst
Posted 4 days ago
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Our client, a leading financial services firm, is looking for a diligent and analytical Senior Risk Management Analyst. This role is crucial for identifying, assessing, and mitigating potential risks across the organization, ensuring compliance with regulatory requirements and safeguarding the company's financial health. The ideal candidate will possess a strong understanding of risk management principles, excellent analytical skills, and a proven ability to develop and implement effective risk control frameworks. You will be responsible for conducting comprehensive risk assessments, developing risk mitigation strategies, monitoring risk exposures, and preparing detailed reports for senior management and regulatory bodies. This position requires a meticulous approach, a keen eye for detail, and the ability to work independently as well as collaboratively within a team environment.
Key Responsibilities:
- Conducting comprehensive risk assessments across various business functions and processes.
- Developing and implementing risk management policies, procedures, and frameworks.
- Monitoring and analyzing key risk indicators (KRIs) and ensuring adherence to risk appetite.
- Identifying potential risks, evaluating their impact, and proposing mitigation strategies.
- Ensuring compliance with relevant industry regulations and standards.
- Collaborating with business units to embed a strong risk culture throughout the organization.
- Preparing and presenting risk reports to senior management and stakeholders.
- Developing and conducting risk management training programs.
- Investigating and reporting on risk incidents and near misses.
- Staying updated on emerging risks and best practices in risk management.
Senior Risk Management Analyst (Insurance)
Posted 8 days ago
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Key Responsibilities:
- Conduct comprehensive risk assessments of new and existing insurance products and business operations.
- Develop and implement risk models to quantify potential financial impacts.
- Monitor key risk indicators (KRIs) and report on risk exposures to senior management.
- Design and oversee the implementation of risk mitigation strategies and controls.
- Ensure compliance with relevant insurance regulations and industry standards.
- Collaborate with actuarial, underwriting, and claims departments to integrate risk management practices.
- Analyze market trends and economic factors to identify emerging risks.
- Develop and deliver risk management training programs for staff.
- Prepare regular reports and presentations on risk management activities and findings.
- Contribute to the continuous improvement of the company's risk management framework.
Qualifications:
- Bachelor's degree in Finance, Economics, Actuarial Science, or a related quantitative field. Master's degree is preferred.
- Minimum of 6 years of experience in risk management, preferably within the insurance industry.
- Strong understanding of insurance products, operations, and regulatory requirements.
- Proficiency in risk modeling techniques, statistical analysis, and data visualization tools.
- Experience with regulatory frameworks such as Solvency II or equivalent.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and interpersonal skills, with the ability to present complex information clearly.
- Professional certifications such as FRM, PRM, or CPCU are highly advantageous.
- Ability to work independently and manage multiple priorities effectively.
- Proven experience in developing and implementing effective risk management strategies.
This is an excellent opportunity for a dedicated professional to advance their career in risk management in **Riffa, Southern, BH**.
Risk Management Analyst - Financial Services
Posted 10 days ago
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Graduate Trainee - Data Analysis
Posted today
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Graduate Trainee - Data Analysis
Posted today
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As a Graduate Trainee, you will work alongside experienced data scientists and analysts, contributing to real-world projects. You will be exposed to a wide range of data analysis tools and techniques, developing a strong foundation in data-driven decision-making. This remote role emphasizes collaboration, continuous learning, and professional development in a supportive virtual environment.
Key Responsibilities:
- Assist in the collection, cleaning, and preparation of large datasets for analysis.
- Perform data analysis using statistical methods and data mining techniques.
- Develop visualizations and dashboards to present data insights effectively.
- Support senior analysts in identifying trends, patterns, and anomalies within data.
- Learn and apply various data analysis tools and programming languages (e.g., Python, R, SQL).
- Collaborate with cross-functional teams to understand data requirements and deliver insights.
- Contribute to the development of data models and algorithms.
- Document data analysis processes and findings.
- Participate in team meetings and knowledge-sharing sessions.
- Assist in generating reports and presentations for stakeholders.
- Recent graduate with a Bachelor's or Master's degree in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, or a related discipline.
- Strong analytical and problem-solving skills.
- Proficiency in Microsoft Excel and basic understanding of databases.
- Familiarity with statistical software or programming languages (e.g., R, Python) is a plus.
- Excellent written and verbal communication skills.
- Ability to work independently and manage tasks effectively in a remote setting.
- Eagerness to learn and adapt to new technologies and methodologies.
- Strong attention to detail and accuracy.
- A keen interest in data analysis and its application in business.
Graduate Trainee - Data Analysis
Posted 1 day ago
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Key Responsibilities:
- Assist in the collection, cleaning, and preparation of data from various sources.
- Perform basic statistical analysis and data mining to identify trends and patterns.
- Support senior analysts in developing reports and presentations based on data findings.
- Learn and apply various data visualization techniques to present data effectively.
- Contribute to data quality checks and ensure the accuracy of information.
- Participate in team meetings and provide input on data-related projects.
- Develop proficiency in data analysis software and tools.
- Understand business requirements and translate them into data analysis tasks.
- Conduct research on industry trends and best practices in data analysis.
- Adhere to data privacy and security protocols.
Qualifications:
- Recent graduate with a Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, Business Analytics, or a related quantitative field.
- Strong analytical and problem-solving skills.
- Basic understanding of statistical concepts and data analysis principles.
- Familiarity with spreadsheet software (e.g., Microsoft Excel) is essential.
- Knowledge of any programming language for data analysis (e.g., Python, R, SQL) is a plus.
- Good written and verbal communication skills.
- Eagerness to learn and a proactive attitude towards new challenges.
- Ability to work effectively in a team and follow instructions accurately.
- Strong attention to detail and organizational skills.
- Enthusiasm for a career in data analysis and insights.
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Graduate Trainee - Data Analysis
Posted 1 day ago
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This is an exceptional opportunity for individuals looking to launch their career in data analytics. You will gain exposure to real-world business challenges and learn industry-standard methodologies. The program includes structured training, mentorship from senior professionals, and opportunities for professional development. We are looking for individuals who are eager to learn, possess strong analytical and problem-solving skills, and have excellent communication abilities. The ability to translate technical findings into clear, actionable recommendations for non-technical stakeholders is a key requirement. We foster a collaborative and supportive environment where trainees can grow and contribute meaningfully. Your enthusiasm for data and your commitment to developing your analytical capabilities will be highly valued.
Responsibilities:
- Assist in the collection, cleaning, and preprocessing of large datasets.
- Perform exploratory data analysis to identify trends and patterns.
- Develop and implement statistical models to analyze data.
- Create data visualizations and dashboards to present findings effectively.
- Support senior analysts in ad-hoc data analysis requests.
- Learn and apply various data analysis tools and techniques.
- Collaborate with cross-functional teams to understand data needs.
- Contribute to reports and presentations on data insights.
- Maintain documentation of data analysis processes.
- Participate in training sessions and team meetings.
- Recent Bachelor's or Master's degree in a quantitative field (e.g., Statistics, Mathematics, Computer Science, Economics).
- Strong academic record with a focus on quantitative subjects.
- Foundational knowledge of statistical concepts and data analysis.
- Familiarity with data analysis tools such as Python (Pandas, NumPy), R, or SQL is a plus.
- Excellent analytical and problem-solving skills.
- Good communication and interpersonal abilities.
- Eagerness to learn and develop data analysis skills.
Graduate Trainee - Data Analysis
Posted 1 day ago
Job Viewed
Job Description
Responsibilities:
- Assist in collecting, processing, and cleaning large datasets from various sources.
- Perform statistical analysis on data to identify trends, patterns, and correlations.
- Develop data visualizations and reports to communicate findings effectively.
- Support senior analysts in developing predictive models and business intelligence solutions.
- Learn and apply various data analysis tools and programming languages (e.g., SQL, Python, R, Tableau).
- Contribute to data quality assurance and validation processes.
- Participate in team meetings and provide input on analytical projects.
- Gain exposure to different business areas and their data needs.
- Assist in documenting data sources, methodologies, and findings.
- Complete assigned projects and learning modules within set timelines.
- Recent graduate with a Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
- Strong analytical and problem-solving skills.
- Proficiency in Microsoft Excel and foundational knowledge of SQL.
- Exposure to statistical software or programming languages (e.g., R, Python) is a plus.
- Excellent attention to detail and accuracy.
- Good written and verbal communication skills.
- Ability to work independently and as part of a team.
- Eagerness to learn and develop skills in data analysis and business intelligence.
- Strong organizational and time management abilities.
Graduate Trainee - Data Analysis
Posted 2 days ago
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Job Description
- Assist senior data analysts in collecting, cleaning, and pre-processing large datasets.
- Perform exploratory data analysis (EDA) to identify patterns, trends, and anomalies.
- Support the development and implementation of data models and statistical analyses.
- Create visualizations and reports to communicate findings to stakeholders.
- Learn and apply various data analysis techniques and tools, such as SQL, Python (Pandas, NumPy), and R.
- Participate in team meetings and contribute to project discussions.
- Develop a strong understanding of data governance and best practices.
- Assist in testing and validating data-driven solutions.
- Collaborate with team members to troubleshoot data-related issues.
- Undertake training and development activities to build expertise in data analysis.
- Recent graduate with a Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
- Strong analytical and problem-solving skills with a keen attention to detail.
- Basic understanding of statistical concepts and data analysis techniques.
- Familiarity with programming languages commonly used in data analysis (e.g., Python, R) and SQL.
- Excellent written and verbal communication skills.
- Ability to work independently and manage time effectively in a remote learning environment.
- Proactive attitude towards learning and skill development.
- Must have access to a reliable computer and stable internet connection for remote participation.