24 Investment Advice jobs in Manama

• Developing and implementing cutting-edge quantitative models for asset allocation, risk management, and alpha generation.
• Conducting in-depth statistical analysis and back-testing of trading strategies.
• Utilizing machine learning techniques to identify market patterns and predict asset price movements.
• Programming complex algorithms in languages such as Python, R, or C++.
• Leading a team of quantitative analysts, providing mentorship and technical guidance.
• Collaborating with portfolio managers and traders to translate research into actionable investment strategies.
• Monitoring and evaluating the performance of live trading strategies.
• Staying abreast of the latest academic research and market trends in quantitative finance.
• Ensuring the integrity and accuracy of data used in model development.
• Presenting research findings and strategy recommendations to senior management.

• Develop, backtest, and deploy quantitative trading and investment strategies across various asset classes.
• Conduct in-depth statistical analysis of market data to identify predictive patterns and generate alpha.
• Build and maintain complex financial models using statistical software and programming languages.
• Collaborate with portfolio managers to define investment objectives and risk parameters.
• Perform scenario analysis and stress testing to assess the resilience of strategies under adverse market conditions.
• Research and implement cutting-edge quantitative techniques and methodologies.
• Monitor the performance of strategies, identify deviations, and recommend necessary adjustments.
• Contribute to the development of risk management frameworks and ensure compliance with regulatory requirements.
• Present research findings and strategy recommendations to senior management and investment committees.
• Stay current with market trends, economic developments, and regulatory changes affecting the financial industry.

• Master's or Ph.D. in a quantitative field such as Mathematics, Statistics, Physics, Economics, or Computer Science.
• 5+ years of experience in quantitative finance, asset management, or hedge funds.
• Proficiency in programming languages like Python, R, C++, or Java.
• Strong knowledge of statistical modeling, time series analysis, econometrics, and machine learning techniques.
• Experience with financial databases (e.g., Bloomberg, Refinitiv) and data manipulation.
• Excellent understanding of financial markets and various asset classes.
• Proven ability to develop and implement profitable quantitative strategies.
• Strong analytical, problem-solving, and critical thinking skills.
• Excellent written and verbal communication skills, with the ability to explain complex concepts clearly.
• Experience with financial modeling and risk management is essential.
• Ability to work effectively in a fast-paced, team-oriented environment.

• Develop, backtest, and implement quantitative models for asset allocation, risk management, and trading strategies.
• Analyze large datasets to identify patterns, correlations, and predictive signals in financial markets.
• Design and optimize algorithmic trading systems and execution strategies.
• Conduct rigorous statistical analysis and hypothesis testing to validate model performance.
• Collaborate with portfolio managers to understand investment objectives and translate them into quantitative frameworks.
• Monitor and maintain the performance of existing trading models and systems.
• Stay abreast of the latest research and developments in quantitative finance, machine learning, and artificial intelligence.
• Contribute to the development of risk management frameworks and stress testing methodologies.
• Prepare technical documentation and present research findings to internal stakeholders.
• Mentor junior quantitative analysts and contribute to team knowledge sharing.

• Master's or Ph.D. in Mathematics, Statistics, Physics, Computer Science, Financial Engineering, or a related quantitative field.
• Minimum of 5 years of experience in quantitative analysis, financial modeling, or algorithmic trading within the investment banking or asset management industry.
• Proficiency in programming languages such as Python, C++, R, or MATLAB.
• Strong understanding of financial markets, investment products, and trading mechanics.
• Expertise in statistical modeling, time series analysis, machine learning, and optimization techniques.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication and interpersonal skills, with the ability to explain complex concepts clearly.
• Experience with large-scale data analysis and database management.
• Ability to work independently and collaboratively in a remote team environment.

• Develop, implement, and backtest quantitative trading strategies.
• Design and build statistical and machine learning models for financial forecasting and risk management.
• Analyze large datasets to identify market inefficiencies and investment opportunities.
• Perform risk analysis and develop hedging strategies.
• Collaborate with portfolio managers and traders to refine investment strategies.
• Optimize trading algorithms for execution and performance.
• Ensure the accuracy and reliability of quantitative models and systems.
• Stay abreast of academic research and industry trends in quantitative finance.
• Present complex analytical findings to stakeholders in a clear and concise manner.
• Contribute to the development of the firm's quantitative research infrastructure.

• Master's or Ph.D. in Mathematics, Statistics, Physics, Computer Science, Financial Engineering, or a related quantitative field.
• Minimum of 5 years of experience in quantitative analysis, quantitative trading, or portfolio management.
• Strong programming skills in Python, R, C++, or MATLAB.
• Deep understanding of financial markets, derivatives, and investment products.
• Proven experience with statistical modeling, machine learning, and time series analysis.
• Excellent analytical, problem-solving, and critical thinking skills.
• Ability to work independently and manage complex projects in a remote setting.
• Strong communication and presentation skills.

• Develop and implement quantitative investment strategies and models.
• Conduct rigorous statistical analysis of market data and economic indicators.
• Build and maintain financial models for valuation, risk assessment, and forecasting.
• Utilize programming languages like Python, R, and SQL for data manipulation and analysis.
• Collaborate with portfolio managers to implement investment recommendations.
• Monitor financial markets and identify potential investment opportunities.
• Prepare comprehensive investment research reports and presentations.
• Contribute to risk management frameworks and portfolio optimization.

• Master's degree in Finance, Economics, Mathematics, Statistics, or a related quantitative field.
• Minimum of 5 years of experience in investment analysis, portfolio management, or quantitative research.
• Strong proficiency in statistical modeling, econometrics, and financial theory.
• Advanced programming skills in Python, R, and SQL.
• Experience with financial databases (e.g., Bloomberg, Refinitiv).
• Excellent analytical, problem-solving, and critical thinking abilities.
• Strong communication and presentation skills.
• Ability to work effectively in both remote and collaborative office settings.

Investment Associate – Multi-Asset / Liquid Strategies Non-disclosed Manama, Bahrain Apply now Posted 1 day ago In-Office Job Permanent Competitive

Type: Full-time

About the Role

We are seeking a hands-on Investment Associate to join our investment team. This role is focused on portfolio construction, investment execution, and monitoring across public markets, with selective exposure to private equity and real estate. The ideal candidate brings strong financial modeling skills, a deep understanding of liquid strategies, and experience supporting HNWIs or institutional clients. You’ll work closely with the investment and risk teams to execute, monitor, and enhance portfolio strategies across asset classes.

Key Responsibilities

• Build and manage multi-asset portfolios with a focus on liquid strategies (equities, bonds, ETFs).
• Monitor and rebalance portfolios in line with macroeconomic and market developments.
• Conduct manager and fund selection across public markets.
• Contribute to macroeconomic research and apply relative value analysis across asset classes.
• Collaborate with investment and advisory teams to align strategies with client mandates.

Investment Analysis & Execution

• Conduct research and modeling for liquid investments; support private transactions as needed.
• Execute trades and support the investment process across public market strategies.
• Analyze fund structures, performance, and risk metrics.
• Coordinate with the Risk Manager and Investment Committee on structuring and trade oversight.
• Review fund documentation and assist with execution logistics.

Monitoring & Reporting

• Track portfolio performance and risk exposures at the account and strategy level.
• Maintain reporting tools for portfolio holdings, asset allocation, and market performance.
• Prepare quarterly reviews, performance reports, and ad hoc investment updates.
• Coordinate with operations and back-office teams for trade settlements, NAV reviews, and compliance tracking.

Communication & Documentation

• Prepare investment committee materials, market commentary, and client-facing content.
• Share weekly portfolio or market updates with internal stakeholders.
• Support documentation for regulatory bodies (e.g., CMA) as required.

Collaboration & Relationship Management

• Engage with fund managers, brokers, and data providers in public markets.
• Collaborate with internal teams across risk, operations, and advisory functions.
• Participate in investment meetings and stay current with market trends and innovations.

Qualifications

• 7+ years of experience in multi-asset investing, discretionary portfolio management, or wealth management advisory.
• Demonstrated expertise across public and private markets, including equities, fixed income, ETFs, private equity, and real estate.
• Strong analytical skills with advanced proficiency in financial modeling and investment research.
• CFA designation strongly preferred.
• Experience working with HNWIs or institutional clients in an advisory or portfolio management capacity.
• Highly collaborative, client-focused, and research-driven.
• Excellent written and verbal communication skills.

Operation

Division

Finance

Location

Closing Date

15-May-2025

Zain is the pioneer of mobile telecommunications in the Middle East. We began life in 1983 in Kuwait as the region’s first mobile operator, and since the initiation of our expansion strategy in 2003, we have expanded rapidly. Read more here:

The role of the Financial Planning & Reporting Specialist is to independently manage the financial planning, analysis and reporting within Zain Bahrain. Reporting directly to the Budgeting and Business Performance.

1. Manage and monitor the annual budget and quarterly reforecasts.
2. Enhance budgeting and forecasting techniques to maintain high standards of quality and accuracy.
3. Design and review monthly financial performance reporting packages, including budget, forecasts, actuals of the income statement, balance sheet, and cash flows, ensuring alignment with overall targets and operational plans.
4. Collaborate with cross-functional teams to gather relevant financial and operational data for analysis.
5. Conduct in-depth analysis to identify trends, patterns, and drivers of business performance, and provide actionable insights and recommendations.
6. Support the development of financial models and forecasts to evaluate business initiatives and assess their impact on financial performance.
7. Identify areas for process improvement and optimization to enhance the efficiency and effectiveness of business performance analysis and reporting.
8. Stay updated with industry trends, best practices, and emerging tools and technologies in business performance analysis and reporting.
9. Review Business Case Studies to support better decision-making aligned with the budget and strategic plan.
10. Perform any related tasks as required or assigned.

Bachelor degree in Finance, Accounting or related subjects

Professional certification such as CPA, CA, CMA, CFA etc. is a plus

3-5+ years of experience in financial planning and analysis.

Experience in Telecom Industry is preferred.

1. Strong analytical skills with the ability to interpret complex financial data, identify trends, and generate actionable insights.
2. Proficiency in financial modeling, forecasting, and variance analysis.
3. Excellent knowledge of key financial concepts, performance metrics, and reporting methodologies.
4. Advanced proficiency in data analysis tools (e.g., Excel, SQL) and experience with business intelligence and visualization tools (e.g., Tableau, Power BI).
5. Strong communication skills, with the ability to effectively present complex information to diverse audiences.
6. Detail-oriented with excellent organizational and time management skills.
7. Ability to work independently, prioritize tasks, and meet deadlines.

1. Business Acumen.
2. Situational awareness.
3. Accuracy.

If you meet the criteria and you are enthusiastic about the role, we would welcome your application. To complete the application you would need the following document(s):