What Jobs are available for Portfolio Analysis in Delhi?
Showing 10 Portfolio Analysis jobs in Delhi
Senior Quantitative Analyst - Risk Management
Posted 5 days ago
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Lead Financial Analyst, Risk Management
Posted 5 days ago
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Key responsibilities include developing and implementing advanced risk models, conducting stress tests and scenario analyses, and monitoring key risk indicators (KRIs). You will collaborate closely with various departments, including treasury, operations, and compliance, to ensure a unified approach to risk management. The role involves preparing detailed risk reports for senior management and the board of directors, providing actionable insights and recommendations. You will also be responsible for staying updated on regulatory changes affecting financial risk and ensuring the company's compliance. Furthermore, you will lead a team of financial analysts, mentoring them and fostering a culture of continuous improvement.
The ideal candidate will possess a Master's degree in Finance, Economics, or a related quantitative field, along with a minimum of 8 years of experience in financial risk management, preferably within the banking and financial services sector. Certifications such as FRM or PRM are highly desirable. Proven experience in developing and validating quantitative risk models, proficiency in financial modeling software (e.g., Python, R, MATLAB), and strong knowledge of Basel III, IFRS 9, and other relevant financial regulations are essential. Exceptional analytical, problem-solving, and communication skills are required, along with the ability to lead and inspire a team in a remote setting. This role offers a unique opportunity to shape the risk management framework of a leading financial institution, with the convenience and flexibility of working entirely from home.This is a fully remote role, and the successful candidate will be based anywhere in India.
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Senior Quantitative Analyst, Risk Management
Posted 8 days ago
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Responsibilities:
- Develop, test, and implement quantitative models for risk assessment (e.g., VaR, Expected Shortfall, credit default swaps, option pricing).
- Perform rigorous backtesting and sensitivity analysis on existing risk models.
- Analyze large datasets to identify patterns, trends, and potential risk exposures.
- Collaborate with trading desks, portfolio managers, and other business units to understand their risk profiles and requirements.
- Design and implement stress testing scenarios and contingency planning.
- Ensure compliance with regulatory requirements and internal policies related to risk management.
- Prepare detailed reports and presentations on risk exposures and model performance for senior management and regulatory bodies.
- Stay current with the latest academic research and industry best practices in quantitative finance and risk management.
- Develop and maintain documentation for all models and methodologies.
- Mentor junior quantitative analysts and contribute to team development.
This is a fully remote opportunity, offering the flexibility to work from any location within India. Our client is committed to fostering a productive and collaborative virtual environment, leveraging cutting-edge technology to ensure seamless team integration and communication. You will be an integral part of a high-performing global team.
Qualifications:
- Advanced degree (Master's or Ph.D.) in a quantitative field such as Mathematics, Statistics, Physics, Economics, or Financial Engineering.
- Minimum of 7 years of experience in quantitative analysis, risk management, or a related field within the financial services industry.
- Expertise in statistical modeling, time series analysis, and probability theory.
- Proficiency in programming languages commonly used in quantitative finance, such as Python, R, C++, or MATLAB.
- Strong understanding of financial markets, instruments, and derivatives.
- Experience with risk management frameworks and regulatory requirements (e.g., Basel III).
- Excellent analytical, problem-solving, and critical thinking skills.
- Superb written and verbal communication skills, with the ability to explain complex concepts to both technical and non-technical audiences.
- Proven ability to work independently and collaboratively in a remote setting.
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Senior Quantitative Analyst, Risk Management
Posted 17 days ago
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Key Responsibilities:
- Develop, validate, and implement quantitative models for credit risk, market risk, operational risk, and liquidity risk.
- Perform complex statistical analysis and data mining on large datasets to identify risk drivers and patterns.
- Design and conduct back-testing and stress-testing of risk models to assess their performance and robustness.
- Collaborate with front-office trading desks, portfolio managers, and other stakeholders to understand their risk exposures and needs.
- Contribute to the development and enhancement of risk management frameworks, policies, and procedures.
- Automate model calibration, reporting, and monitoring processes using programming languages such as Python, R, or C++.
- Stay abreast of regulatory requirements (e.g., Basel Accords) and industry best practices in quantitative risk management.
- Prepare clear and concise reports and presentations for senior management and regulatory bodies.
- Research and evaluate new quantitative methodologies and technologies for risk assessment.
- Provide quantitative support for new product development and strategic initiatives.
- Mentor junior quantitative analysts and contribute to the team's technical development.
- Master's or Ph.D. in a quantitative field such as Financial Engineering, Statistics, Mathematics, Physics, Economics, or Computer Science.
- Minimum of 6 years of experience in quantitative analysis, risk management, or a related role within the financial services industry.
- Strong proficiency in statistical modeling, econometrics, and machine learning techniques.
- Expertise in at least one programming language commonly used in quantitative finance (e.g., Python with libraries like NumPy, SciPy, Pandas; R; C++; MATLAB).
- Solid understanding of financial markets, derivatives, and various asset classes.
- Knowledge of risk management principles and regulatory frameworks (e.g., Basel III/IV).
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills, with the ability to explain complex quantitative concepts to non-technical audiences.
- Experience with large-scale data manipulation and database querying (e.g., SQL).
- Ability to work effectively both independently and as part of a collaborative team in a hybrid environment.
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Senior Quantitative Analyst - Risk Management
Posted 25 days ago
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Responsibilities:
- Develop, validate, and implement quantitative models for market risk, credit risk, operational risk, and liquidity risk.
- Perform complex statistical analysis and simulations to assess risk exposures and potential impacts.
- Collaborate with business units to understand risk appetite and regulatory requirements.
- Design and implement stress testing scenarios and back-testing methodologies.
- Contribute to the development and enhancement of risk management frameworks and policies.
- Communicate complex quantitative concepts and results to non-technical stakeholders, including senior management and regulators.
- Research and stay current with academic literature, industry best practices, and emerging trends in quantitative finance and risk management.
- Develop and maintain efficient code for model implementation, data processing, and reporting.
- Mentor junior analysts and contribute to the team's knowledge sharing and development.
- Ensure compliance with all relevant regulatory guidelines and internal policies.
Qualifications:
- Master's or Ph.D. in a quantitative field such as Mathematics, Statistics, Physics, Economics, Financial Engineering, or a related discipline.
- Minimum of 5 years of relevant experience in quantitative analysis, risk management, or financial modeling within the banking or financial services industry.
- Strong knowledge of financial instruments, derivatives, and risk management principles.
- Expertise in statistical modeling, time series analysis, econometrics, and machine learning techniques.
- Proficiency in programming languages such as Python, R, C++, or Java.
- Experience with data manipulation and analysis tools (e.g., SQL, SAS).
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong communication and presentation skills, with the ability to explain complex technical concepts clearly.
- Familiarity with regulatory frameworks such as Basel III/IV is a plus.
- Ability to work effectively in a fast-paced, collaborative environment.
This position offers a significant opportunity to influence risk management strategies and contribute to the stability and success of a major financial organization. Join a team dedicated to leveraging cutting-edge quantitative methods.
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Senior Actuarial Analyst - Risk Management
Posted 25 days ago
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Primary Responsibilities:
- Conduct complex actuarial analysis to assess insurance risks, including pricing, reserving, and solvency.
- Develop, implement, and maintain sophisticated actuarial models using industry-standard software.
- Analyze financial data and trends to forecast potential risks and opportunities.
- Assist in the pricing of insurance products, ensuring competitiveness and profitability.
- Perform statutory and GAAP reserving calculations, ensuring compliance with regulatory requirements.
- Evaluate the impact of regulatory changes on the company's financial position.
- Collaborate with cross-functional teams to provide actuarial support and insights.
- Mentor and guide junior actuarial staff, fostering their professional development.
- Prepare clear and concise reports and presentations for senior management and regulatory bodies.
- Stay abreast of emerging trends and best practices in actuarial science and the insurance industry.
Required Qualifications:
- Passed at least three actuarial exams from a recognized professional society (e.g., Institute of Actuaries of India, SOA, CAS).
- Bachelor's degree in Actuarial Science, Mathematics, Statistics, Finance, or a related quantitative field.
- Minimum of 5 years of progressive experience in the insurance industry, with a focus on actuarial analysis.
- Proficiency in actuarial software (e.g., Prophet, GGY Axis, Polytems) and programming languages (e.g., SQL, Python, R).
- Strong understanding of insurance products, regulatory frameworks, and risk management principles.
- Excellent analytical, problem-solving, and critical thinking skills.
- Exceptional communication and interpersonal skills, with the ability to explain complex technical concepts to non-technical audiences.
- Proven ability to work independently and manage multiple projects simultaneously in a remote setting.
- Commitment to continuous learning and professional development within the actuarial field.
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Senior Actuarial Analyst - Risk Management
Posted 26 days ago
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Senior Financial Analyst - Remote Risk Management
Posted 3 days ago
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Responsibilities:
- Conduct comprehensive financial analysis, including forecasting and budgeting.
- Identify, assess, and report on financial risks and opportunities.
- Develop and maintain complex financial models to support strategic planning.
- Prepare monthly, quarterly, and annual financial reports for senior management.
- Analyze financial statements and key performance indicators (KPIs).
- Perform variance analysis and provide explanations for deviations.
- Collaborate with cross-functional teams to gather financial data and insights.
- Recommend strategies for risk mitigation and financial optimization.
- Ensure compliance with financial regulations and reporting standards.
- Assist in the evaluation of investment proposals and capital expenditure requests.
- Bachelor's or Master's degree in Finance, Accounting, Economics, or a related field.
- Minimum of 5 years of experience in financial analysis or risk management.
- Proven experience in financial modeling, forecasting, and valuation.
- Advanced proficiency in Microsoft Excel (pivot tables, VLOOKUP, macros).
- Experience with financial analysis software (e.g., SAP, Oracle, Hyperion).
- Strong understanding of financial statements, accounting principles, and risk assessment.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills, with the ability to explain complex financial data.
- Detail-oriented with a high degree of accuracy.
- Ability to work effectively in a team environment and manage multiple deadlines.
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Remote Senior Quantitative Analyst, Risk Management
Posted 15 days ago
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Job Description
Key Responsibilities:
- Design, develop, and validate complex quantitative models for credit risk, market risk, and operational risk.
- Implement and maintain risk models using programming languages such as Python, R, or C++.
- Conduct thorough backtesting and sensitivity analysis of models to ensure accuracy and robustness.
- Contribute to the development of pricing models, hedging strategies, and capital allocation frameworks.
- Ensure compliance with relevant regulatory requirements (e.g., Basel III/IV, IFRS 9) through robust model governance and documentation.
- Collaborate with business units, IT, and compliance teams to integrate models into production systems and business processes.
- Perform research on new methodologies and technologies to enhance the firm's quantitative capabilities.
- Communicate complex quantitative concepts and findings to both technical and non-technical stakeholders.
- Mentor junior analysts and contribute to the team's intellectual capital.
- Proactively identify potential risks and propose mitigation strategies.
Qualifications:
- Ph.D. or Master's degree in a quantitative field such as Financial Engineering, Mathematics, Physics, Statistics, or Computer Science.
- Minimum of 6 years of experience in quantitative analysis within the banking or financial services industry.
- Proven expertise in developing and implementing risk models (e.g., VaR, Expected Shortfall, PD, LGD, EAD).
- Strong programming skills in Python or R, with experience in relevant libraries (e.g., NumPy, Pandas, SciPy).
- Proficiency in SQL and database management.
- Solid understanding of financial markets, derivative products, and regulatory frameworks.
- Excellent analytical, problem-solving, and computational skills.
- Strong communication and presentation abilities, with the capacity to explain complex models clearly.
- Experience with C++ or other high-performance computing languages is a plus.
- Demonstrated ability to work independently and deliver high-quality results in a remote setting.
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Senior Financial Analyst - Financial Planning & Analysis
Posted 6 days ago
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