10 Data Architect jobs in Bahrain
Junior Data Scientist - Big Data Analytics
11223 Galali
BHD45000 Annually
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Posted today
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Job Description
Our client is offering an exceptional opportunity for ambitious recent graduates and early-career professionals to join their cutting-edge data science team as a Junior Data Scientist. This is a fully remote, full-time role designed to provide comprehensive training and hands-on experience in the field of big data analytics. You will work under the guidance of senior data scientists, contributing to projects involving data cleaning, exploratory data analysis, model development, and insight generation. The ideal candidate possesses a strong academic foundation in statistics, mathematics, computer science, or a related quantitative discipline, along with a passion for uncovering patterns and insights from large datasets. This internship is an excellent springboard for a successful career in data science.
Key Responsibilities:
Qualifications:
Key Responsibilities:
- Assist in data collection, cleaning, and preprocessing from various sources.
- Perform exploratory data analysis (EDA) to understand data characteristics and identify trends.
- Support the development and implementation of statistical models and machine learning algorithms.
- Help in evaluating model performance and identifying areas for improvement.
- Create visualizations and reports to communicate findings to the team.
- Collaborate with senior data scientists and engineers on ongoing projects.
- Learn and apply new data science techniques and tools.
- Assist in the documentation of data sets, methodologies, and results.
- Participate in team meetings and contribute to problem-solving discussions.
- Gain practical experience in big data technologies and cloud platforms.
Qualifications:
- Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Economics, or a related quantitative field.
- Strong understanding of statistical concepts and analytical principles.
- Familiarity with programming languages commonly used in data science, such as Python or R.
- Exposure to data manipulation libraries (e.g., Pandas, NumPy) and visualization tools (e.g., Matplotlib, Seaborn).
- Basic knowledge of machine learning concepts and algorithms is a plus.
- Excellent analytical and problem-solving skills.
- Strong desire to learn and develop skills in data science.
- Good communication and teamwork abilities.
- Ability to work independently and manage tasks effectively in a remote environment.
- This internship is fully remote and open to individuals globally, though the operational oversight is linked to our presence in Sanad, Capital, BH .
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0
Senior Data Scientist - Big Data Analytics
500 Northern, Northern
BHD115000 Annually
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Posted 13 days ago
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Job Description
Our client, a data-driven organization committed to leveraging insights for strategic advantage, is seeking an experienced Senior Data Scientist to lead their big data analytics initiatives. This fully remote position empowers you to work from anywhere, applying your expertise to tackle complex data challenges and drive significant business impact. You will be responsible for designing, developing, and deploying advanced analytical models, extracting actionable insights from large and complex datasets, and communicating findings to diverse audiences. This role requires a strong foundation in statistics, machine learning, and big data technologies.
Key Responsibilities:
Qualifications:
This role is a fully remote position, with a conceptual grounding in **Shakhura, Northern, BH**. Join our client and shape the future through data-driven insights.
Key Responsibilities:
- Design, develop, and implement sophisticated machine learning models and statistical algorithms to solve business problems.
- Analyze and interpret large, complex datasets from various sources to identify trends, patterns, and insights.
- Develop predictive models and forecasting solutions to support strategic decision-making.
- Utilize big data technologies (e.g., Spark, Hadoop) and cloud platforms (e.g., AWS, Azure, GCP) for data processing and analysis.
- Collaborate with business stakeholders to understand their needs and translate them into data science solutions.
- Create compelling data visualizations and reports to communicate findings to both technical and non-technical audiences.
- Mentor junior data scientists and contribute to the advancement of data science best practices within the organization.
- Evaluate and implement new data science tools and methodologies.
- Ensure data quality, integrity, and privacy in all analytical processes.
- Stay current with the latest advancements in data science, machine learning, and artificial intelligence.
Qualifications:
- Master's or Ph.D. in Statistics, Computer Science, Mathematics, Data Science, or a related quantitative field.
- Minimum of 7 years of experience as a Data Scientist, with a strong focus on big data analytics.
- Proven experience with programming languages such as Python or R, and libraries like scikit-learn, TensorFlow, or PyTorch.
- Extensive experience with big data technologies (e.g., Spark, Hadoop, Hive) and SQL.
- Familiarity with cloud computing environments (AWS, Azure, GCP) and their data services.
- Strong understanding of statistical modeling, machine learning algorithms, and data mining techniques.
- Excellent data visualization and communication skills.
- Ability to work independently and manage complex projects in a remote setting.
- Experience with A/B testing and experimental design is a plus.
- Strong problem-solving abilities and a business-oriented mindset.
This role is a fully remote position, with a conceptual grounding in **Shakhura, Northern, BH**. Join our client and shape the future through data-driven insights.
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1
Remote Junior Data Scientist - Big Data Analytics
20210 Southern, Southern
BHD60000 Annually
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Posted 8 days ago
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Job Description
Our client is offering a fantastic remote internship opportunity for aspiring Junior Data Scientists to gain hands-on experience in Big Data Analytics. This role is designed for recent graduates or students nearing completion of their degree, providing a unique chance to learn from experienced professionals in a supportive, fully remote environment. You will be involved in analyzing large datasets, developing predictive models, and generating actionable insights to drive business decisions. This is a fully remote position, requiring strong self-discipline and excellent communication skills to thrive in a virtual team setting. Our client is committed to fostering a collaborative and educational experience, even without physical proximity.
Responsibilities:
Responsibilities:
- Assist senior data scientists in collecting, cleaning, and transforming large datasets from various sources.
- Perform exploratory data analysis (EDA) to identify trends, patterns, and anomalies.
- Develop and implement basic statistical models and machine learning algorithms under supervision.
- Contribute to the creation of data visualizations and reports to communicate findings to stakeholders.
- Learn and apply various data mining techniques and big data technologies (e.g., Spark, Hadoop ecosystem).
- Participate in team meetings and discussions, actively contributing ideas and asking questions.
- Document methodologies, findings, and code for reproducibility.
- Assist in the testing and validation of data models and pipelines.
- Gain exposure to different analytical tools and programming languages such as Python (Pandas, NumPy, Scikit-learn) and R.
- Understand and contribute to the ethical considerations of data usage and analysis.
- Currently pursuing or recently completed a Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Mathematics, Economics, or a related quantitative field.
- Foundational understanding of statistical concepts and machine learning algorithms.
- Familiarity with programming languages commonly used in data science, particularly Python or R.
- Basic knowledge of data manipulation and analysis libraries (e.g., Pandas, NumPy, dplyr).
- Eagerness to learn and adapt to new technologies and methodologies.
- Strong analytical and problem-solving abilities.
- Excellent written and verbal communication skills, crucial for remote collaboration.
- Ability to work independently and manage tasks effectively in a remote setting.
- A keen interest in data analysis and its application in solving real-world problems.
- Previous exposure to SQL and database concepts is a plus.
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2
Senior Data Engineer - Data Warehousing
407 Al Seef
BHD85000 Annually
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Posted 3 days ago
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Job Description
Our client, a prominent entity within the Banking & Finance sector, is actively seeking a Senior Data Engineer with extensive experience in data warehousing and big data technologies. This role is entirely remote, enabling you to contribute to critical data infrastructure projects from your preferred location. You will be responsible for designing, building, and maintaining robust and scalable data warehousing solutions that support advanced analytics, business intelligence, and reporting needs across the organization. The ideal candidate possesses a deep understanding of ETL/ELT processes, database design, and cloud-based data platforms.
Responsibilities:
Responsibilities:
- Design, develop, and implement efficient and scalable data warehouse solutions using cloud platforms (e.g., Snowflake, Redshift, BigQuery).
- Build and maintain robust ETL/ELT pipelines to ingest, transform, and load data from various sources.
- Optimize database performance and ensure data integrity, accuracy, and availability.
- Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and deliver solutions.
- Develop and enforce data governance policies and standards.
- Implement data modeling techniques (e.g., Kimball, Inmon) to support analytical needs.
- Monitor data warehouse systems, troubleshoot issues, and implement solutions for performance enhancement.
- Stay current with emerging technologies in data engineering, cloud computing, and big data.
- Write and optimize SQL queries and scripts for data manipulation and analysis.
- Mentor junior data engineers and contribute to team knowledge sharing.
- Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field. Master's degree is a plus.
- 5+ years of hands-on experience in data engineering, with a strong focus on data warehousing.
- Proficiency in SQL and experience with at least one major cloud data warehouse platform (Snowflake, Redshift, BigQuery).
- Strong experience with ETL/ELT tools and frameworks (e.g., Talend, Informatica, Apache Airflow, dbt).
- Proficiency in at least one programming language (e.g., Python, Java, Scala).
- Solid understanding of data modeling concepts and database design principles.
- Experience with big data technologies (e.g., Spark, Hadoop) is beneficial.
- Excellent analytical, problem-solving, and communication skills.
- Demonstrated ability to work independently and manage projects effectively in a remote setting.
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3
Junior Data Scientist - Predictive Modeling
45678 Bilad Al Qadeem, Capital
BHD60000 Annually
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Posted 2 days ago
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Job Description
Our client is seeking enthusiastic and bright Junior Data Scientists to join their innovative team. This is a fully remote internship opportunity, providing invaluable hands-on experience in the field of data science and predictive modeling. You will work closely with senior data scientists and analysts, contributing to various projects that leverage data to drive business insights and solutions. The ideal candidate will have a strong foundational knowledge of statistics, programming, and machine learning concepts, coupled with a passion for solving complex problems using data.
Responsibilities:
Qualifications:
This remote internship is a fantastic launchpad for a career in data science. Our operations are centered around Tubli, Capital, BH , but this role is entirely remote.
Responsibilities:
- Assist in the collection, cleaning, and preprocessing of large datasets from various sources.
- Develop, test, and validate predictive models under the guidance of senior team members.
- Perform exploratory data analysis to identify trends, patterns, and insights.
- Contribute to the development of data visualizations to communicate findings effectively.
- Learn and apply various machine learning algorithms and techniques.
- Support the deployment and monitoring of predictive models.
- Collaborate with team members to understand project requirements and objectives.
- Document methodologies, code, and findings clearly and concisely.
- Participate in team meetings and contribute to discussions on data-driven strategies.
- Gain practical experience with industry-standard data science tools and platforms.
Qualifications:
- Currently pursuing a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field.
- Foundational understanding of statistical concepts and methods.
- Proficiency in at least one programming language commonly used in data science, such as Python or R.
- Familiarity with data manipulation libraries (e.g., Pandas, NumPy) and machine learning libraries (e.g., Scikit-learn).
- Basic knowledge of SQL for database querying.
- Strong analytical and problem-solving skills.
- Eagerness to learn and adapt to new technologies and methodologies.
- Excellent communication and interpersonal skills.
- Ability to work independently and manage time effectively in a remote environment.
- A genuine interest in artificial intelligence and its applications.
This remote internship is a fantastic launchpad for a career in data science. Our operations are centered around Tubli, Capital, BH , but this role is entirely remote.
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4
Senior Data Scientist - Risk Modeling
43210 Galali
BHD160000 Annually
WhatJobs
Posted 5 days ago
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Job Description
Our client is seeking a highly skilled and experienced Senior Data Scientist specializing in risk modeling to join their dynamic team. This is a fully remote position, offering the opportunity to work on complex challenges that impact financial risk assessment and mitigation strategies. The Senior Data Scientist will leverage advanced statistical techniques, machine learning algorithms, and big data technologies to develop sophisticated risk models. This role demands a deep understanding of insurance or financial services domains, coupled with exceptional analytical and problem-solving capabilities.
Key Responsibilities:
The ideal candidate will possess a Master's or Ph.D. in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative field. A minimum of 7 years of professional experience in data science, with a strong focus on risk modeling within the insurance or financial services industry, is required. Proven expertise in programming languages such as Python or R, and proficiency with machine learning libraries (e.g., Scikit-learn, TensorFlow, PyTorch) are essential. Experience with big data technologies (e.g., Spark, Hadoop) and SQL is highly desirable. Excellent understanding of statistical modeling techniques, including regression, classification, time series analysis, and simulation methods, is crucial. Strong problem-solving skills, business acumen, and the ability to work independently in a remote setting are paramount. Candidates must demonstrate exceptional communication and presentation skills. This remote role, based out of Sanad, Capital, BH , offers a unique opportunity to shape risk management strategies globally.
Key Responsibilities:
- Design, develop, and validate advanced statistical and machine learning models for risk prediction and assessment.
- Analyze large, complex datasets to identify patterns, trends, and insights related to financial and operational risks.
- Collaborate with business stakeholders to define risk modeling requirements and translate them into data science solutions.
- Implement and deploy risk models into production environments, ensuring scalability and reliability.
- Monitor model performance, conduct regular recalibrations, and update models as needed based on new data and changing market conditions.
- Communicate complex analytical findings and model methodologies clearly and concisely to both technical and non-technical audiences.
- Stay abreast of the latest research and advancements in data science, machine learning, and risk management.
- Contribute to the development of data governance frameworks and best practices for data utilization.
- Mentor junior data scientists and provide technical guidance on modeling techniques and projects.
- Explore and implement new data sources and analytical tools to enhance modeling capabilities.
- Develop dashboards and reports to visualize risk metrics and model outputs for stakeholders.
- Ensure all modeling activities adhere to regulatory requirements and industry standards.
- Perform ad-hoc analyses to support strategic decision-making and risk mitigation efforts.
- Contribute to the intellectual property of the company through research and potential publications.
- Optimize existing models for efficiency, accuracy, and computational performance.
The ideal candidate will possess a Master's or Ph.D. in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative field. A minimum of 7 years of professional experience in data science, with a strong focus on risk modeling within the insurance or financial services industry, is required. Proven expertise in programming languages such as Python or R, and proficiency with machine learning libraries (e.g., Scikit-learn, TensorFlow, PyTorch) are essential. Experience with big data technologies (e.g., Spark, Hadoop) and SQL is highly desirable. Excellent understanding of statistical modeling techniques, including regression, classification, time series analysis, and simulation methods, is crucial. Strong problem-solving skills, business acumen, and the ability to work independently in a remote setting are paramount. Candidates must demonstrate exceptional communication and presentation skills. This remote role, based out of Sanad, Capital, BH , offers a unique opportunity to shape risk management strategies globally.
This advertiser has chosen not to accept applicants from your region.
5
Junior Data Scientist - Predictive Modeling
4567 Isa Town, Northern
BHD60000 Annually
WhatJobs
Posted 15 days ago
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Job Description
Our client is seeking an ambitious and enthusiastic Junior Data Scientist to join their dynamic analytics team. This role is a fully remote internship, providing an exceptional opportunity for a recent graduate or an individual early in their data science career to gain hands-on experience in a professional setting. You will work under the guidance of senior data scientists, contributing to projects focused on predictive modeling, machine learning, and data analysis. Your responsibilities will include data cleaning and preprocessing, exploratory data analysis, building and evaluating predictive models, and assisting in the interpretation of results. You will also be involved in generating reports and visualizations to communicate findings effectively to stakeholders. The ideal candidate possesses a strong foundation in statistics, mathematics, and programming, with proficiency in languages such as Python or R, and experience with relevant libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch). Familiarity with SQL for data extraction and manipulation is also important. This is a remote-first internship, requiring excellent self-discipline, time management skills, and proactive communication. You should be eager to learn, curious about data, and comfortable working collaboratively in a virtual environment. We are looking for a motivated individual who is passionate about deriving insights from data and contributing to data-driven decision-making. A Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field is required. Prior internship experience or significant academic projects involving data analysis and modeling are a strong plus. You will have the opportunity to work on real-world problems, develop practical skills, and gain valuable industry exposure. This role is designed to foster your growth and provide a solid launchpad for your career in data science. We value a collaborative spirit and encourage you to bring your fresh perspectives to our team. If you are a highly motivated individual looking for a challenging and rewarding remote internship experience, we invite you to apply and embark on an exciting journey in the field of data science.
Key Responsibilities:
Key Responsibilities:
- Assist in data cleaning, preprocessing, and feature engineering.
- Perform exploratory data analysis to uncover patterns and insights.
- Develop, train, and evaluate predictive machine learning models.
- Collaborate with senior data scientists on project tasks.
- Generate reports and visualizations to present findings.
- Contribute to data-driven decision-making processes.
- Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
- Strong understanding of statistical concepts and machine learning algorithms.
- Proficiency in Python or R, and relevant data science libraries.
- Familiarity with SQL for data querying.
- Excellent analytical and problem-solving skills.
- Strong communication and collaboration abilities for remote work.
- Eagerness to learn and adapt in a fast-paced environment.
This advertiser has chosen not to accept applicants from your region.
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6
Senior Insurance Data Scientist, Risk Modeling
1010 Al Daih, Northern
BHD125000 Annually
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Posted 1 day ago
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Job Description
Our client, a leading innovator in the insurance sector, is seeking an experienced Senior Data Scientist to join their fully remote, advanced analytics team. This role is pivotal in developing and refining sophisticated risk models that underpin the company's underwriting and pricing strategies. You will leverage vast datasets to extract actionable insights, build predictive models, and contribute to data-driven decision-making across the organization. Your responsibilities will include data exploration, feature engineering, model selection and validation, and the implementation of machine learning algorithms for risk assessment, fraud detection, and customer segmentation. The ideal candidate possesses a strong foundation in statistical modeling, machine learning techniques, and programming languages such as Python or R. Experience with large-scale data processing and cloud platforms (AWS, Azure, GCP) is highly desirable. A deep understanding of the insurance industry, including actuarial principles and common risk factors, will be a significant asset. You should be adept at communicating complex analytical findings to both technical and non-technical stakeholders, fostering a data-centric culture. This is a fully remote opportunity, requiring a proactive, self-motivated individual with excellent problem-solving skills and the ability to collaborate effectively within a distributed team. If you are passionate about applying advanced data science techniques to solve complex insurance challenges and thrive in a flexible, remote work environment, we encourage you to apply.
Responsibilities:
Responsibilities:
- Develop, implement, and validate advanced statistical and machine learning models for risk assessment and pricing.
- Conduct exploratory data analysis to identify trends, patterns, and insights within large insurance datasets.
- Design and engineer relevant features for predictive modeling.
- Evaluate and compare different modeling techniques to select the most appropriate solutions.
- Deploy models into production environments and monitor their performance.
- Collaborate with actuarial, underwriting, and product teams to understand business needs and translate them into analytical solutions.
- Communicate complex analytical findings and recommendations to stakeholders through clear reports and presentations.
- Stay current with the latest advancements in data science, machine learning, and insurance analytics.
- Mentor junior data scientists and contribute to team knowledge sharing.
- Master's or Ph.D. in Statistics, Data Science, Computer Science, Economics, or a related quantitative field.
- 5+ years of experience as a Data Scientist, with a significant focus on risk modeling or actuarial science.
- Proficiency in programming languages like Python or R, and relevant data science libraries (e.g., scikit-learn, TensorFlow, PyTorch).
- Experience with SQL and working with large, complex datasets.
- Strong understanding of statistical modeling, machine learning algorithms, and experimental design.
- Familiarity with insurance industry data and concepts is highly preferred.
- Experience with cloud platforms (AWS, Azure, GCP) and big data technologies is a plus.
- Excellent analytical, problem-solving, and communication skills for a remote setting.
This advertiser has chosen not to accept applicants from your region.
7
Lead Data Scientist (Financial Risk Modeling)
2301 Seef, Capital
BHD11500 Monthly
WhatJobs
Posted 3 days ago
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Job Description
Our client, a prominent international bank, is seeking an exceptional Lead Data Scientist to spearhead their financial risk modeling initiatives. This is a crucial, on-site role within our sophisticated **Seef, Capital, BH** headquarters, where you will be at the forefront of developing and implementing advanced analytical models to assess and mitigate financial risks. You will lead a team of talented data scientists and collaborate closely with risk management, compliance, and business units to ensure robust and compliant risk frameworks. Your insights will be vital in safeguarding the bank's financial health and strategic decision-making.
Key Responsibilities:
The ideal candidate will hold a Master's or Ph.D. in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, or a related discipline. A minimum of 7 years of experience in data science or quantitative analysis, with at least 3 years specifically focused on financial risk modeling within the banking or financial services industry, is required. Proven experience with programming languages like Python or R, and libraries such as scikit-learn, TensorFlow, or PyTorch, is essential. Experience with SQL, big data technologies (e.g., Spark), and cloud platforms (e.g., AWS, Azure) is highly desirable. Excellent communication, leadership, and stakeholder management skills are necessary for this on-site role at our **Seef, Capital, BH** office. A deep understanding of regulatory frameworks (e.g., Basel III, IFRS 9) is critical.
Key Responsibilities:
- Lead the design, development, and implementation of sophisticated financial risk models (e.g., credit risk, market risk, operational risk).
- Develop and validate predictive models using machine learning, statistical methods, and advanced analytics.
- Oversee the entire model lifecycle, including data sourcing, feature engineering, model training, validation, deployment, and monitoring.
- Collaborate with business stakeholders to understand risk appetite and translate business requirements into analytical solutions.
- Ensure all models comply with regulatory requirements and internal policies.
- Mentor and guide a team of data scientists, fostering a culture of innovation and technical excellence.
- Present complex analytical findings and model implications to senior management and regulatory bodies.
- Stay abreast of the latest trends and technologies in data science, machine learning, and financial risk management.
- Contribute to the development of data infrastructure and tooling to support advanced analytics.
- Perform ad-hoc analysis to support strategic decision-making.
The ideal candidate will hold a Master's or Ph.D. in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, or a related discipline. A minimum of 7 years of experience in data science or quantitative analysis, with at least 3 years specifically focused on financial risk modeling within the banking or financial services industry, is required. Proven experience with programming languages like Python or R, and libraries such as scikit-learn, TensorFlow, or PyTorch, is essential. Experience with SQL, big data technologies (e.g., Spark), and cloud platforms (e.g., AWS, Azure) is highly desirable. Excellent communication, leadership, and stakeholder management skills are necessary for this on-site role at our **Seef, Capital, BH** office. A deep understanding of regulatory frameworks (e.g., Basel III, IFRS 9) is critical.
This advertiser has chosen not to accept applicants from your region.
8
Remote Lead Data Scientist - Financial Risk Modeling
777 Bilad Al Qadeem, Capital
BHD150000 Annually
WhatJobs
Posted 1 day ago
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Job Description
Our client, a prestigious international bank, is seeking a visionary Lead Data Scientist to spearhead their financial risk modeling initiatives. This is a fully remote position, offering the flexibility to work from your preferred location. You will lead a team of talented data scientists and analysts in developing sophisticated predictive models for credit risk, market risk, and operational risk. Your expertise will be crucial in enhancing the bank's risk management framework and ensuring regulatory compliance. This is a high-impact role for a seasoned professional passionate about leveraging advanced analytics in the financial sector.
Responsibilities:
Responsibilities:
- Lead the design, development, and implementation of advanced statistical and machine learning models for financial risk assessment.
- Mentor and manage a team of data scientists, guiding their technical development and project execution.
- Collaborate with business stakeholders, risk officers, and compliance teams to understand risk appetite and translate business needs into analytical solutions.
- Conduct thorough data exploration, feature engineering, and model validation.
- Develop and deploy production-ready risk models using Python, R, SQL, and relevant libraries.
- Stay abreast of the latest advancements in data science, machine learning, and quantitative finance.
- Ensure models are robust, interpretable, and meet regulatory requirements (e.g., Basel III, CCAR).
- Communicate complex findings and model insights clearly to both technical and non-technical audiences.
- Oversee data quality initiatives and ensure the integrity of data used for modeling.
- Contribute to the strategic direction of data science within the organization.
- Design and conduct A/B tests and other experiments to evaluate model performance.
- Develop robust documentation for models, methodologies, and processes.
- 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 risk modeling.
- Proven experience leading and managing data science teams.
- Expertise in statistical modeling, machine learning algorithms (e.g., regression, classification, time series analysis, deep learning), and model evaluation techniques.
- Proficiency in programming languages like Python or R and associated data science libraries (e.g., Scikit-learn, TensorFlow, PyTorch).
- Strong SQL skills and experience working with large datasets.
- Deep understanding of financial risk concepts (credit risk, market risk, operational risk).
- Familiarity with regulatory frameworks in the banking industry.
- Excellent analytical, problem-solving, and critical thinking skills.
- Outstanding communication and presentation skills, with the ability to influence stakeholders.
- Experience with cloud platforms (AWS, Azure, GCP) and big data technologies is a plus.
This advertiser has chosen not to accept applicants from your region.
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