51 Asset Management jobs in Bahrain

• Conduct in-depth reservoir characterization, performance analysis, and production forecasting using sophisticated modeling and simulation tools.
• Develop and implement integrated reservoir management strategies to maximize hydrocarbon recovery and asset value.
• Perform material balance calculations, decline curve analysis, and volumetric assessments.
• Evaluate and recommend enhanced oil recovery (EOR) techniques and secondary recovery methods.
• Collaborate with geologists, geophysicists, and production engineers to ensure a cohesive subsurface development plan.
• Perform economic evaluations of development opportunities and production enhancement projects.
• Monitor reservoir performance, identify operational issues, and propose solutions for optimization.
• Contribute to field development planning, including well placement and production strategies.
• Stay abreast of the latest technologies and best practices in reservoir engineering and management.
• Prepare technical reports, presentations, and recommendations for management and joint venture partners.

• Master's degree or Ph.D. in Petroleum Engineering, Chemical Engineering, or a related field.
• Minimum of 8 years of progressive experience in reservoir engineering within the upstream oil and gas industry.
• Proven expertise in reservoir simulation software (e.g., Eclipse, Tempest, CMG).
• Strong understanding of reservoir engineering principles, fluid flow, and rock mechanics.
• Experience with material balance, decline curve analysis, and economic evaluation techniques.
• Proficiency in data analysis and interpretation of well logs, core data, and production history.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication and interpersonal skills, with the ability to present technical information effectively to diverse audiences.
• Ability to work independently and collaboratively in a remote team environment.
• Experience with international operations or unconventional reservoirs is a plus.

• Conduct detailed reservoir characterization, simulation, and performance analysis for existing and potential exploration assets.
• Develop and implement integrated reservoir management strategies, including production forecasting, decline curve analysis, and reserves estimation.
• Utilize advanced reservoir simulation software (e.g., Eclipse, Petrel RE) to model fluid flow, predict reservoir behavior, and evaluate development scenarios.
• Identify and evaluate opportunities for enhanced oil recovery (EOR) and improved oil recovery (IOR) techniques.
• Collaborate with geoscientists, production engineers, and drilling engineers to develop integrated field development plans.
• Perform economic evaluations of reservoir development projects, including risk assessment and sensitivity analysis.
• Monitor reservoir performance and production data, making recommendations for optimization and timely intervention.
• Prepare technical reports, presentations, and recommendations for management and investment committees.
• Mentor junior reservoir engineers and contribute to the technical growth of the subsurface team in a remote setting.
• Stay abreast of the latest advancements in reservoir engineering technologies, methodologies, and industry best practices.
• Contribute to the company's knowledge management efforts, documenting best practices and lessons learned.
• Engage in virtual technical forums and contribute to peer reviews of reservoir studies.

• Bachelor's or Master's degree in Petroleum Engineering, Chemical Engineering, or a related field. A Ph.D. is a plus.
• Minimum of 10 years of progressive experience in reservoir engineering, with a strong emphasis on reservoir simulation and asset management.
• Proven expertise in numerical reservoir simulation and interpretation of simulation results.
• Proficiency in industry-standard reservoir engineering software and tools.
• Strong understanding of fluid dynamics, thermodynamics, and geological principles relevant to reservoir performance.
• Experience with various recovery mechanisms and enhanced oil recovery techniques.
• Excellent analytical, problem-solving, and decision-making skills.
• Exceptional communication and interpersonal skills, with the ability to effectively present complex technical information to diverse audiences remotely.
• Demonstrated ability to work independently and manage multiple projects in a fully remote environment.
• Experience working with international assets and diverse reservoir types is advantageous.
• Professional Engineer (PE) or equivalent professional accreditation is preferred.

• Developing, implementing, and managing comprehensive well integrity management systems (WIMS) for offshore assets in accordance with regulatory requirements and industry best practices (e.g., ISO 16530-1, API RP 91).
• Conducting risk assessments and fitness-for-service evaluations for well barriers, casing, and associated equipment.
• Planning and overseeing well integrity testing, monitoring programs, and interventions.
• Analyzing well performance data, identifying potential integrity issues, and recommending appropriate corrective actions.
• Collaborating closely with subsurface, drilling, and production engineering teams to ensure integrated well lifecycle management.
• Providing expert technical guidance on well design, materials selection, and completion strategies to enhance long-term integrity.
• Investigating well integrity incidents, performing root cause analysis, and implementing lessons learned.
• Staying current with emerging technologies and methodologies in well integrity engineering and inspection techniques.
• Preparing technical reports, integrity assessments, and recommendations for management and regulatory bodies.
• Contributing to the development of company standards, procedures, and guidelines related to well integrity.
• Mentoring junior engineers and fostering a strong safety culture focused on well integrity.

• Bachelor's degree in Petroleum Engineering, Mechanical Engineering, or a related discipline.
• A minimum of 8 years of experience in well integrity engineering, preferably with a significant focus on offshore operations.
• In-depth understanding of well construction, completion, abandonment, and intervention processes.
• Proficiency in well integrity software, risk assessment methodologies, and data analysis techniques.
• Strong knowledge of relevant industry standards and regulations governing well integrity.
• Excellent analytical, problem-solving, and decision-making skills.
• Exceptional communication and interpersonal skills, with proven ability to collaborate effectively in a remote team environment.
• Experience in managing integrity programs and working with regulatory agencies.
• Ability to work autonomously, manage multiple projects, and deliver high-quality results.

• Developing and implementing strategic asset management plans to optimize property performance and value.
• Conducting in-depth market analysis, feasibility studies, and financial modeling for potential acquisitions and dispositions.
• Managing the entire lifecycle of real estate assets, from acquisition to disposition.
• Overseeing property operations, including leasing, tenant relations, and capital improvements.
• Negotiating lease agreements, purchase agreements, and service contracts.
• Preparing comprehensive portfolio performance reports, financial statements, and investment recommendations for senior management.
• Monitoring market trends and economic conditions to identify risks and opportunities.
• Ensuring all properties are managed in compliance with legal requirements and company policies.
• Building and maintaining strong relationships with brokers, tenants, lenders, and other stakeholders.

• Master's degree in Real Estate, Finance, Business Administration, or a related field.
• Minimum of 7 years of experience in real estate investment, asset management, or portfolio management.
• Proven track record of successfully managing and growing a real estate portfolio.
• Strong financial analysis and modeling skills, including proficiency in Excel and real estate valuation methods.
• In-depth knowledge of real estate markets, investment principles, and legal aspects of real estate transactions.
• Excellent negotiation, communication, and presentation skills.
• Ability to work independently and manage multiple priorities in a remote environment.
• Experience with real estate investment software and platforms is a plus.

About Coefficient Alliances & Ventures (Coefftalent)

Coefficient Alliances & Ventures is not just another talent sourcing firm. We are a boutique talent advisory with deep roots in management consulting and financial services across the Middle East and India. Our team brings a consultative approach to hiring, focusing on precision, speed, and contextual understanding of client needs.

We specialize in high impact hiring across Executive Search, Professional Search, Contract Staffing, and Talent Consulting, enabling our clients to build strategic, scalable teams.

About the Role

Our client, a
leading bank in Bahrain
, is strengthening its Wealth Management division and is seeking a
Head of Wealth Management
to
lead and oversee the strategic direction, growth, and operational excellence of the wealth management division. This role focuses on delivering tailored financial solutions to high-net-worth individuals and institutional clients, ensuring superior client service, regulatory compliance, and sustainable profitability.

The incumbent will be responsible for driving innovation in investment advisory, portfolio management, and relationship development, while fostering a high-performance culture across advisory teams.

This is a
full-time, on-site role based in Bahrain
, offering the opportunity to collaborate closely with senior stakeholders and spearhead the delivery of strategic, high-impact investment solutions for affluent and institutional clients.

Please note: This role is open only to Bahraini Nationals or Expatriate candidates currently residing in Bahrain and possessing the relevant experience.

Key Responsibilities:

• Define and execute the overall strategy for the wealth management division, aligning with the organization's long-term goals and market positioning.
• Oversee the function of the Advisory business, helping shape the offerings and strengthen the coverage with high-net-worth individuals, family offices, and institutional clients, ensuring exceptional service and client retention.
• Oversee the design and enhancement of investment products, financial planning services, and advisory solutions tailored to client needs and market trends.
• Lead, mentor, and develop a high-performing team of relationship managers, financial advisors, and support staff to achieve business objectives.
• Drive revenue generation through effective sales strategies, client acquisition, and cross-selling of financial products, while managing cost efficiency.

Qualifications:

• Bachelor's degree or equivalent qualification.
• 10–15 years of experience in wealth management, private banking, or investment advisory, with at least 10 years in a leadership capacity.
• Proven track record in launching a diverse range of wealth products, preferably within Islamic banking.
• Demonstrated experience in establishing wealth management systems and developing digital wealth solutions.
• Background in banking or financial services institutions.
• FAP certification is an advantage.

• Develop, test, and implement quantitative models for asset pricing, portfolio optimization, risk management, and algorithmic trading.
• Analyze large datasets to identify market trends, patterns, and trading opportunities.
• Build and maintain robust back-testing frameworks for evaluating investment strategies.
• Collaborate with portfolio managers, traders, and risk managers to provide quantitative insights and support decision-making.
• Conduct research on new quantitative methodologies and financial instruments.
• Ensure the accuracy, reliability, and efficiency of quantitative models and systems.
• Prepare technical reports and presentations for management and internal stakeholders.
• Stay current with academic research, market developments, and regulatory changes in quantitative finance.
• Develop and maintain high-quality code in languages such as Python, R, C++, or MATLAB.
• Contribute to the design and enhancement of trading platforms and risk systems.

• Master's or Ph.D. in a quantitative field such as Mathematics, Statistics, Physics, Economics, or Financial Engineering.
• Minimum of 6 years of experience in quantitative analysis, financial modeling, or quantitative trading roles within the financial industry.
• Strong proficiency in statistical modeling, econometrics, and machine learning techniques.
• Expertise in programming languages commonly used in quantitative finance (e.g., Python, R, C++, MATLAB).
• Deep understanding of financial markets, derivatives, fixed income, and/or equities.
• Experience with large-scale data analysis and database management.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong written and verbal communication skills, with the ability to explain complex concepts clearly.
• Ability to work effectively both independently and as part of a collaborative team.
• Familiarity with risk management frameworks and regulatory requirements (e.g., Basel III).

• Develop, implement, and validate quantitative trading models.
• Analyze market data to identify investment opportunities and risks.
• Design and optimize trading strategies and execution algorithms.
• Conduct rigorous backtesting and performance analysis of models.
• Collaborate with portfolio managers and traders to implement strategies.
• Research and apply advanced statistical and machine learning techniques.
• Ensure compliance with regulatory requirements and internal policies.
• Present complex quantitative findings to management and stakeholders.
• Contribute to the enhancement of the firm's trading technology and infrastructure.

• Master's degree or PhD in Quantitative Finance, Financial Engineering, Mathematics, Statistics, Physics, or a related quantitative field.
• Minimum of 5 years of experience in quantitative analysis within investment banking or asset management.
• Strong programming skills in Python, C++, R, or similar languages.
• In-depth knowledge of financial markets, derivatives, and risk management.
• Experience with statistical modeling, time-series analysis, and machine learning.
• Excellent analytical and problem-solving skills.
• Strong communication and interpersonal abilities.

• Develop, backtest, and implement quantitative trading strategies across various asset classes.
• Build and maintain sophisticated financial models for risk management, portfolio optimization, and performance attribution.
• Conduct in-depth data analysis to identify market trends, opportunities, and potential risks.
• Collaborate with portfolio managers and traders to provide quantitative support and insights.
• Develop and implement statistical and machine learning models for financial forecasting and prediction.
• Monitor and evaluate the performance of investment strategies, making necessary adjustments based on market conditions and model results.
• Ensure the accuracy and integrity of financial data used in quantitative analysis.
• Communicate complex quantitative concepts and findings clearly to both technical and non-technical audiences.
• Stay abreast of new quantitative techniques, financial markets, and regulatory changes.
• Contribute to the development and maintenance of the firm's quantitative research infrastructure.
• Ensure compliance with all relevant financial regulations and internal policies.
• Mentor junior quantitative analysts and contribute to team development.

• Master's or Ph.D. in a quantitative field such as Financial Engineering, Mathematics, Statistics, Physics, or Computer Science.
• Minimum of 6 years of progressive experience in quantitative finance, portfolio management, or risk management.
• Strong expertise in statistical modeling, time series analysis, econometrics, and machine learning techniques.
• Proficiency in programming languages commonly used in quantitative finance, such as Python (with libraries like NumPy, Pandas, SciPy, Scikit-learn), R, or C++.
• Experience with financial databases and data vendors (e.g., Bloomberg, Refinitiv).
• Deep understanding of financial markets, instruments, and investment strategies.
• Excellent analytical, problem-solving, and critical-thinking skills.
• Strong communication and presentation skills, with the ability to explain complex quantitative concepts effectively.
• Ability to work independently and collaboratively in a fast-paced environment.
• Familiarity with risk management frameworks and regulatory requirements in the financial industry is a plus.

• Research, design, and develop quantitative trading strategies and models for various asset classes.
• Conduct rigorous backtesting and statistical analysis of strategies using historical market data.
• Implement trading algorithms and models in a production environment, ensuring efficiency and reliability.
• Analyze and interpret complex financial datasets to identify patterns, correlations, and market inefficiencies.
• Collaborate with portfolio managers to understand investment objectives and tailor quantitative solutions.
• Monitor the performance of live trading strategies and make necessary adjustments or improvements.
• Develop tools and infrastructure to support quantitative research and strategy development.
• Stay abreast of the latest academic research and industry advancements in quantitative finance.
• Prepare clear and concise reports and presentations on research findings and strategy performance.
• Ensure compliance with all regulatory requirements and internal risk management policies.
• Mentor junior quantitative analysts and contribute to the team's intellectual capital.
• Optimize existing models for speed, accuracy, and robustness.

• Master's or Ph.D. in Finance, Economics, Mathematics, Statistics, Computer Science, or a related quantitative field.
• Minimum of 5 years of experience in quantitative analysis, algorithmic trading, or portfolio management within the financial industry.
• Proven experience in developing and implementing profitable quantitative strategies.
• Strong proficiency in programming languages such as Python (NumPy, Pandas, SciPy), C++, or R.
• Deep understanding of statistical modeling, time series analysis, machine learning, and econometrics.
• Experience with financial databases (e.g., Bloomberg, Refinitiv) and market data analysis.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication and presentation skills, with the ability to explain complex quantitative concepts.
• Ability to work independently and manage multiple projects in a remote setting.
• Experience with portfolio construction and risk management is a plus.