6 Data Services jobs in Bahrain
Junior Data Analyst - Financial Services
Posted 17 days ago
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Job Description
The ideal candidate will have a solid understanding of statistical principles and experience with data analysis tools and languages such as SQL, Python, or R. You should be adept at identifying trends, patterns, and anomalies within data. A key aspect of this role involves creating clear and concise data visualizations and reports for stakeholders across various departments. You will work closely with senior analysts and business leaders to understand data requirements and deliver impactful findings. Attention to detail and a commitment to data accuracy are paramount. This role provides a structured learning environment and opportunities for professional growth.
Responsibilities:
- Collect, clean, and preprocess large datasets from various sources.
- Perform statistical analysis to identify trends, patterns, and anomalies in financial data.
- Develop and maintain databases and data models.
- Create insightful reports, dashboards, and visualizations to communicate findings to stakeholders.
- Assist in the development and implementation of data collection and analysis strategies.
- Collaborate with team members to ensure data accuracy and integrity.
- Support ad-hoc data analysis requests from different business units.
- Identify opportunities for process improvements in data management and analysis.
- Stay updated on industry best practices and new analytical techniques.
- Contribute to team meetings and knowledge sharing sessions.
- Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, or a related quantitative field.
- 0-2 years of experience in data analysis or a related role.
- Proficiency in SQL for data extraction and manipulation.
- Basic knowledge of programming languages like Python or R for data analysis is a plus.
- Familiarity with data visualization tools (e.g., Tableau, Power BI) is desirable.
- Strong analytical, problem-solving, and critical thinking skills.
- Excellent attention to detail and accuracy.
- Good communication and interpersonal skills.
- Ability to work effectively both independently and as part of a team.
- Enthusiasm for learning and a keen interest in financial markets.
Remote Lead Data Scientist - Financial Services
Posted 7 days ago
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Job Description
Key responsibilities include defining the data science roadmap, overseeing the end-to-end development of predictive models, and ensuring the rigorous validation and implementation of these solutions. You will collaborate closely with stakeholders across various departments, including risk management, marketing, and product development, to identify opportunities for leveraging data. Expertise in programming languages such as Python or R, and experience with big data platforms (e.g., Spark, Hadoop) and cloud environments (e.g., AWS, Azure, GCP) are essential. You will be responsible for mentoring team members, conducting code reviews, and fostering a culture of innovation and continuous learning within the data science function. The ability to translate complex analytical findings into actionable business insights and communicate them effectively to diverse audiences is crucial. If you are a strategic thinker with a passion for data science, a proven track record of leading high-performing teams, and seeking a challenging remote role, we encourage you to apply.
Responsibilities:
- Lead and mentor a team of data scientists and analysts.
- Define and execute the data science strategy and roadmap.
- Develop, validate, and deploy advanced machine learning and statistical models.
- Analyze large datasets to identify trends, patterns, and insights.
- Design and implement A/B tests and other experimental designs.
- Collaborate with business stakeholders to understand their needs and translate them into analytical projects.
- Communicate complex findings and recommendations clearly to technical and non-technical audiences.
- Stay current with cutting-edge research and advancements in data science and AI.
- Ensure the quality, integrity, and ethical use of data.
- Contribute to the development of data infrastructure and tools.
- Ph.D. or Master's degree in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative field.
- 7+ years of experience in data science or advanced analytics, with a proven track record in a leadership role.
- Expertise in statistical modeling, machine learning algorithms, and deep learning techniques.
- Proficiency in programming languages such as Python or R, and related libraries (e.g., scikit-learn, TensorFlow, PyTorch).
- Experience with big data technologies (e.g., Spark, Hadoop) and SQL.
- Familiarity with cloud platforms (AWS, Azure, GCP) and their data/ML services.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication, presentation, and stakeholder management skills.
- Experience in the financial services industry is highly desirable.
- Proven ability to lead and inspire a technical team in a remote environment.
Remote Administrative Assistant - Data Entry & Support
Posted 2 days ago
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Job Description
Key responsibilities include:
- Accurately entering and updating data in various databases and CRM systems.
- Verifying the accuracy and completeness of data records.
- Scanning, organizing, and filing digital documents.
- Managing and responding to emails and other forms of correspondence.
- Scheduling meetings and appointments for team members.
- Preparing and formatting documents, reports, and presentations.
- Assisting with customer inquiries and providing basic support.
- Maintaining and updating contact lists and other essential databases.
- Coordinating with team members to ensure smooth workflow and timely completion of tasks.
- Troubleshooting basic data entry issues and reporting any significant problems.
- Adhering to data privacy and confidentiality policies.
The ideal candidate will possess a High School Diploma or equivalent; a Bachelor's degree is a plus. Proven experience in data entry and administrative support is required. Excellent typing speed and accuracy, along with proficiency in Microsoft Office Suite (Word, Excel, Outlook) and Google Workspace, are essential. Strong organizational skills, keen attention to detail, and the ability to manage multiple tasks simultaneously are crucial. Effective communication skills and a proactive, self-motivated approach are necessary for success in this remote role. If you are a reliable and detail-oriented administrative professional looking for a remote opportunity, we encourage you to apply.
Data Entry Clerk - Administrative Support
Posted 1 day ago
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Job Description
Key Responsibilities:
- Accurately enter and update data in various databases and software applications.
- Verify the accuracy and completeness of entered data.
- Perform regular data backups to ensure data integrity.
- Identify and correct errors or inconsistencies in data.
- Maintain organized and up-to-date records.
- Assist with data cleanup and migration projects.
- Adhere to data privacy and security policies.
- Respond to data-related inquiries from internal teams.
- Meet established data entry speed and accuracy targets.
- Assist with other administrative tasks as needed.
- High school diploma or equivalent.
- Proven data entry experience or similar role.
- Excellent typing speed and accuracy.
- Proficiency in data entry software and MS Office Suite (Word, Excel).
- Strong attention to detail and accuracy.
- Ability to work independently and manage time effectively.
- Good organizational and record-keeping skills.
- Reliability and a strong work ethic.
- Familiarity with database management is a plus.
Lead Data Scientist - Fintech Solutions
Posted 21 days ago
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Job Description
Key Responsibilities:
- Lead the design, development, and implementation of advanced machine learning models and analytical solutions for financial applications.
- Mentor and manage a team of data scientists, providing technical guidance and fostering professional growth.
- Collaborate with cross-functional teams to define project requirements, develop hypotheses, and deliver actionable insights.
- Develop and maintain data pipelines, ensuring data quality and accessibility for analysis.
- Conduct deep-dive analyses to identify trends, patterns, and opportunities for business improvement.
- Present complex findings and recommendations to senior leadership and stakeholders in a clear and concise manner.
- Stay abreast of the latest advancements in data science, machine learning, and artificial intelligence.
- Drive innovation and propose new analytical approaches to solve challenging business problems.
- Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field.
- 5+ years of experience in data science, with a focus on fintech or financial services.
- Demonstrated experience in leading data science projects and teams.
- Expertise in machine learning algorithms (e.g., regression, classification, clustering, deep learning).
- Proficiency in Python or R, and libraries such as scikit-learn, TensorFlow, PyTorch.
- Strong SQL skills and experience with big data technologies (e.g., Spark, Hadoop).
- Experience with cloud platforms (AWS, Azure, GCP) and related ML services.
- Excellent problem-solving, analytical, and communication skills.
Senior Data Analyst - Financial Risk Management
Posted 7 days ago
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Job Description
Responsibilities:
- Develop, test, and validate sophisticated statistical and machine learning models for financial risk assessment.
- Extract, clean, and transform large datasets from various internal and external sources.
- Perform in-depth data analysis to identify trends, patterns, and potential risk exposures.
- Design and generate insightful reports and dashboards for senior management and regulatory bodies.
- Collaborate with business stakeholders to understand their data needs and translate them into analytical solutions.
- Stay abreast of industry best practices, emerging analytical techniques, and regulatory changes impacting financial risk management.
- Automate data processes and reporting mechanisms to improve efficiency and accuracy.
- Provide expert guidance and mentorship to junior analysts.
- Document methodologies, assumptions, and results of analytical projects.
- Contribute to the enhancement of the firm's risk management framework and data governance policies.
- Master's degree or Ph.D. in Statistics, Mathematics, Economics, Data Science, or a related quantitative field.
- Minimum of 5 years of experience in data analysis, preferably within the banking or financial services industry.
- Proven expertise in statistical modeling, predictive analytics, and machine learning algorithms.
- Strong proficiency in programming languages such as Python or R, and experience with SQL for data manipulation.
- Experience with data visualization tools (e.g., Tableau, Power BI) and building effective dashboards.
- Solid understanding of financial instruments, markets, and regulatory frameworks (e.g., Basel Accords).
- Excellent problem-solving skills and the ability to interpret complex data into actionable insights.
- Strong communication and interpersonal skills, with the ability to explain technical concepts to non-technical audiences.
- Experience working in a remote, collaborative team environment.
- Ability to manage multiple projects simultaneously and deliver results under pressure.
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