What Jobs are available for Analytics Intern in Bahrain?

Company Description Job Description

VAM Systems is currently looking for Risk Analytics Specialist for our Bahrain operations with the following skillsets & terms and conditions:

Academic Qualification: Bachelor's Degree – Finance

Experience and Skills required

• Monitor Risk Parameters as per Board approved Risk Framework.
• Update procedures related to Credit Risk, Impaired Assets and Provisioning.
• Timely and accurate submission of Risk MIS to Management (e.g.: Risk Exposure Reports, Criticized Asset Report, Weekly Credit Risk Report), Regulators (e.g.: Connected Counterparty Report, CBB report, Prudential Information Report (PIR), Largest Countries, Largest Exposure, Sanctioned Countries) & other internal and external stakeholders (e.g.: Financial notes, Pillar III) agencies (e.g.: Rating Agencies, UNEP FI) and Risk MIS to KFH Group (BSAP, IBSM, RRP, Financial Receivables Disclosure, Analytical Report etc.
• Maintenance and update of risk data in the Enterprise Data Warehouse (EDW) and IFRS 9 systems.
• Risk policies and procedures
• Coordinate with Finance in the ECL entries, NPL budgets & forecasts.
• Liaising with the Internal, External Auditors, Regulators.
• Execute automation of all risk dashboards and reporting Group-wide.

Competencies:

• Technical Competencies such as Data Analysis, Risk Quantification, Programing Languages & tools
• (SAS, SQL, Power BI etc.), Data Management (Experience Working with Large Dataset, Classification, Clustering)
• Risk Management Competence such as Risk Frameworks and Regulation, Understanding the various types of risks and their impact on FI, ability to understand the organization's risk appetite.
• Analytical Competence- Strong analytical and problem-solving Skills.
• Behavioral Competencies - Excellent written and verbal communication skills with strong interpersonal skills to work closely with corm functional teams including finance, compliance, and IT.
• MIS Reporting – Strong Reporting Skills which provide insights into portfolio risk dynamics.

Domain: Bank

Terms and conditions

Joining time frame: days)

Additional Information

Terms and conditions:

Joining time frame: maximum 4 weeks

• Develop and implement advanced analytical models for sports performance.
• Collect, clean, and manage large sports-related datasets.
• Analyze player and team statistics to identify trends and insights.
• Create data visualizations and reports to communicate findings effectively.
• Collaborate with coaches and management to inform strategic decisions.
• Stay current with emerging trends in sports analytics and technology.
• Predict performance outcomes and identify areas for improvement.

• Minimum 5 years of experience in sports analytics or a related quantitative field.
• Strong background in statistical modeling, machine learning, and data mining.
• Proficiency in Python, R, SQL, and data visualization tools (e.g., Tableau, Power BI).
• Deep understanding of sports performance metrics and methodologies.
• Excellent analytical, problem-solving, and communication skills.
• Experience working remotely and collaborating with distributed teams.

• Collect, process, and analyze diverse sports-related data, including performance metrics, biomechanical data, and game statistics.
• Develop and implement statistical models to identify trends, predict outcomes, and evaluate performance.
• Create insightful visualizations and dashboards to communicate findings effectively to coaches, athletes, and management.
• Collaborate with coaching staff to understand their analytical needs and translate them into actionable data insights.
• Identify key performance indicators (KPIs) and monitor progress towards team and individual goals.
• Conduct research into new analytical methodologies and technologies relevant to sports science and performance.
• Provide data-driven recommendations for training programs, injury prevention, and player development.
• Maintain data integrity and ensure the accuracy and reliability of all analyses.
• Stay current with the latest developments in sports analytics and relevant software.
• Present findings and reports in a clear, concise, and compelling manner.

• Bachelor's or Master's degree in Statistics, Data Science, Sports Science, Biomechanics, or a related quantitative field.
• Minimum of 3 years of experience in sports analytics, performance analysis, or a similar data-intensive role.
• Proficiency in statistical software (e.g., R, Python with libraries like Pandas, NumPy, SciPy) and SQL.
• Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib).
• Strong understanding of statistical concepts and modeling techniques.
• Knowledge of various sports and their respective performance metrics is essential.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication and presentation skills.
• Ability to work independently and manage projects effectively in a remote environment.
• Experience with wearable technology data and physiological monitoring is a plus.

• Manage and mentor a team of sports data analysts.
• Develop and implement advanced analytical models to optimize team performance.
• Collect, clean, and interpret large datasets related to player and team performance.
• Identify trends and provide actionable insights to coaches and management.
• Create compelling data visualizations and reports for stakeholders.
• Evaluate and implement new analytical tools and technologies.
• Collaborate with coaching staff to integrate analytics into game strategy.
• Monitor industry trends in sports analytics and performance science.
• Ensure data integrity, accuracy, and security.
• Present findings and recommendations effectively to diverse audiences.

• Bachelor's or Master's degree in Statistics, Data Science, Sports Science, Mathematics, or a related quantitative field.
• Minimum of 5 years of experience in sports analytics or a similar analytical role.
• Proven experience with statistical software (e.g., R, Python, SPSS) and database management.
• Strong understanding of sports performance metrics and methodologies.
• Excellent data visualization skills (e.g., Tableau, Power BI).
• Exceptional analytical, critical thinking, and problem-solving abilities.
• Strong communication and presentation skills.
• Experience leading a team is a plus.

• Develop and implement advanced analytical models to extract meaningful insights from sports data.
• Analyze player performance metrics, identify trends, and provide recommendations for improvement.
• Support scouting and recruitment efforts through data-driven player evaluation.
• Develop predictive models for game outcomes, player injuries, and strategic playcalling.
• Collaborate with coaching staff to integrate analytics into game strategy and training regimens.
• Analyze fan engagement data to inform marketing and business development strategies.
• Oversee the collection, cleaning, and management of large datasets from various sources.
• Communicate complex analytical findings effectively to non-technical stakeholders, including senior management and coaches.
• Stay abreast of the latest advancements in sports analytics, data science, and relevant technologies.
• Mentor and guide junior analysts within the analytics team.
• Ensure data integrity and develop robust reporting dashboards.

• Master's degree or PhD in Statistics, Data Science, Computer Science, Mathematics, or a related quantitative field.
• Minimum of 5 years of experience in data analysis, with a significant focus on sports analytics.
• Proven experience in developing and implementing predictive models and statistical analyses.
• Strong understanding of sports principles, rules, and performance indicators.
• Proficiency in programming languages such as Python or R, and database management (SQL).
• Experience with data visualization tools (e.g., Tableau, Power BI).
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication and presentation skills, with the ability to explain technical concepts to diverse audiences.
• Ability to work collaboratively in a fast-paced, team-oriented environment.
• Passion for sports and a commitment to leveraging data for competitive advantage.

• Develop and implement data-driven strategies to improve athletic performance, player development, and game strategy.
• Collect, clean, and analyze large datasets from various sources, including performance metrics, scouting data, and fan engagement platforms.
• Build predictive models and statistical analyses to forecast outcomes, identify trends, and provide actionable insights.
• Collaborate with coaches, general managers, and other stakeholders to translate data insights into practical applications.
• Create compelling data visualizations and reports to communicate complex findings to diverse audiences.
• Stay current with the latest advancements in sports analytics, machine learning, and data science techniques.
• Manage and mentor a team of junior analysts, fostering a data-driven culture.
• Oversee the integration of new data sources and analytical tools into existing systems.
• Identify opportunities to enhance fan experience and engagement through data analysis.
• Ensure data integrity, accuracy, and security across all analytics projects.

• Master's degree or Ph.D. in Data Science, Statistics, Mathematics, Sports Management, or a related quantitative field.
• Minimum of 5 years of experience in sports analytics, data science, or a similar analytical role.
• Proven experience with statistical modeling, machine learning algorithms, and data mining techniques.
• Proficiency in programming languages such as Python or R, and experience with SQL.
• Familiarity with sports data platforms and visualization tools (e.g., Tableau, Power BI).
• Deep understanding of various sports, their rules, and performance metrics.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong written and verbal communication skills, essential for presenting insights in a remote setting.
• Ability to manage projects independently and lead a remote team effectively.
• Passion for sports and a drive to use data to achieve competitive advantages.

• Develop and implement analytical models to assess player performance, identify talent, and optimize game strategies.
• Analyze large datasets related to games, players, and operations to uncover actionable insights.
• Create compelling visualizations and reports to communicate findings to coaches, management, and other stakeholders.
• Collaborate with coaching staff to integrate data-driven insights into training and game planning.
• Monitor key performance indicators (KPIs) and identify trends and anomalies.
• Conduct research on emerging analytical techniques and technologies relevant to sports.
• Manage and mentor a team of junior analysts.
• Ensure data integrity and accuracy across all analytical projects.
• Contribute to strategic planning and decision-making processes through robust data analysis.
• Develop predictive models for various aspects of sports performance and fan behavior.

• Master's degree in Statistics, Data Science, Mathematics, Sports Science, or a related quantitative field.
• Minimum of 5 years of experience in sports analytics, with a proven ability to apply data science techniques to sports-related problems.
• Strong proficiency in statistical programming languages such as R or Python, and experience with relevant libraries (e.g., Pandas, NumPy, Scikit-learn).
• Experience with data visualization tools (e.g., Tableau, Power BI).
• Knowledge of database management and SQL.
• Excellent understanding of sports rules, strategies, and performance metrics.
• Strong analytical, problem-solving, and critical-thinking skills.
• Effective communication and presentation skills, with the ability to translate complex data into understandable insights.
• Ability to work effectively in a hybrid team environment.
• Experience with machine learning techniques is a plus.