Showing 13 Actuary jobs in Delhi
Financial Modeling
Delhi, Delhi
Aces Global Consulting Pvt Ltd
Posted 27 days ago
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Job Description
JOB DESCRIPTION FINANCIAL MODELLER
Role summary:
This role will be responsible for creating and auditing the most complicated financial models in the world. We are open for hiring at various levels from Financial Analyst to Project Manager, people with 1-7 years of relevant experience.
Responsibilities:
Independent thinker capable of meeting tight deadlines and managing excruciatingly complex details. Must be a 9.0+ on a scale of 1-10 with Microsoft Excel. You will work on multiple project finance models in the US renewables space requiring portfolio model construction, each with 10+ assets, multiple debt sizing mechanisms, full three statement financial analysis, and flexible dashboards.
Qualifications:
Post graduate qualification in accounting e.g. MBA (Finance), CA, CPA, M. Com etc.
Excellent excel and analytical skills.
Confidence in building and auditing financial models.
Good knowledge of accounts / prior experience in corporate finance.
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0
Remote Lead Quantitative Analyst - Financial Modeling
110001 Delhi, Delhi
₹1200000 Annually
WhatJobs
Posted 4 days ago
Job Viewed
Job Description
Our client, a prestigious financial institution, is seeking a highly accomplished Lead Quantitative Analyst to spearhead their financial modeling initiatives. This fully remote position is crucial for developing, validating, and implementing sophisticated quantitative models used for risk management, pricing, and trading strategies. The ideal candidate will possess a deep theoretical understanding of financial mathematics and econometrics, coupled with extensive practical experience in model development and a proven ability to lead a team of analysts.
Key Responsibilities:
Key Responsibilities:
- Develop, implement, and maintain complex quantitative models for pricing derivatives, assessing credit risk, managing market risk, and optimizing investment portfolios.
- Validate existing models to ensure accuracy, robustness, and compliance with regulatory requirements.
- Perform statistical analysis and data mining on large datasets to identify patterns and inform model development.
- Collaborate with trading desks, risk management teams, and business units to understand their needs and provide quantitative solutions.
- Translate business requirements into technical specifications for model development.
- Stay abreast of the latest academic research and industry trends in quantitative finance and econometrics.
- Mentor and guide junior quantitative analysts, fostering their technical and professional growth.
- Document model methodologies, assumptions, and limitations clearly and comprehensively.
- Present complex quantitative findings to both technical and non-technical audiences.
- Contribute to the firm's strategic direction by identifying new opportunities for quantitative analysis and innovation.
- Ensure all models comply with internal policies and external regulatory standards.
- Ph.D. or Master's degree in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, or Financial Engineering.
- Minimum of 6 years of experience in quantitative analysis, financial modeling, or a related role within the financial services industry.
- Proven expertise in areas such as stochastic calculus, time series analysis, machine learning, and statistical modeling.
- Proficiency in programming languages like Python, R, C++, or Java, and experience with scientific computing libraries.
- Strong understanding of financial markets, instruments, and risk management principles.
- Excellent analytical, problem-solving, and critical thinking skills.
- Exceptional communication and presentation skills, with the ability to explain complex concepts effectively.
- Demonstrated leadership experience or potential.
- Ability to work independently and manage multiple complex projects in a remote setting.
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1
Lead Data Scientist - Financial Risk Modeling
110001 Delhi, Delhi
₹1800000 Annually
WhatJobs
Posted 9 days ago
Job Viewed
Job Description
Our client, a premier financial institution, is actively seeking a Lead Data Scientist specializing in Financial Risk Modeling to join their fully remote team. You will be at the forefront of developing and implementing advanced statistical and machine learning models to assess and mitigate financial risks. This role requires a deep understanding of risk management principles, regulatory requirements (e.g., Basel III, CCAR), and cutting-edge data science techniques. You will lead a team of data scientists, providing technical guidance and mentorship, and collaborating closely with risk management, business intelligence, and technology departments. Responsibilities include designing model validation frameworks, deploying models into production, and interpreting complex results for stakeholders. Expertise in Python or R, SQL, machine learning libraries, and experience with large datasets are essential. We are looking for an innovative thinker with a proven ability to translate complex data insights into actionable risk strategies within the financial services industry. This is a unique opportunity to shape the risk management framework of a leading financial organization from a remote position.
Responsibilities:
Responsibilities:
- Lead the development, implementation, and validation of advanced statistical and machine learning models for financial risk assessment (e.g., credit risk, market risk, operational risk).
- Design and oversee model validation processes to ensure accuracy, robustness, and regulatory compliance.
- Collaborate with risk managers, business analysts, and other stakeholders to define modeling requirements and interpret results.
- Mentor and guide junior data scientists and analysts within the team.
- Develop and maintain data pipelines and infrastructure for model training and deployment.
- Stay abreast of the latest advancements in data science, machine learning, and financial risk management.
- Communicate complex findings and model insights clearly to both technical and non-technical audiences.
- Ensure models adhere to regulatory guidelines and internal governance standards.
- Propose innovative solutions to address evolving risk challenges.
- Ph.D. or Master's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
- 7+ years of experience in data science, with a strong focus on financial risk modeling.
- Proven expertise in statistical modeling, machine learning algorithms, and predictive analytics.
- Proficiency in programming languages like Python or R, and experience with relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch).
- Strong SQL skills and experience working with large, complex datasets.
- Deep understanding of financial markets, risk management concepts, and regulatory frameworks.
- Experience with model validation techniques and best practices.
- Excellent leadership, communication, and presentation skills.
- Ability to work effectively in a remote, collaborative team environment.
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2
Graduate Trainee - Data Analysis
110001 Delhi, Delhi
₹30000 Monthly
WhatJobs
Posted 19 days ago
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Job Description
Our client is a cutting-edge data analytics firm seeking highly motivated and intellectually curious Graduate Trainees to join their growing Data Analysis team. This role offers a unique opportunity for recent graduates to develop expertise in data mining, statistical analysis, and data visualization. You will work under the guidance of experienced data scientists and analysts, contributing to projects that drive data-informed decision-making for our diverse clientele. The ideal candidate will have a strong quantitative background, a passion for uncovering insights from data, and a solid understanding of statistical concepts. Proficiency in at least one programming language commonly used in data analysis (e.g., Python, R) is highly desirable.
Key Responsibilities:
Qualifications:
This is an exceptional entry-level opportunity for aspiring data professionals, located in our state-of-the-art facility in Delhi, Delhi, IN . If you are passionate about data and eager to build a career in analytics, we encourage you to apply.
Key Responsibilities:
- Assist in collecting, cleaning, and processing large datasets from various sources.
- Perform exploratory data analysis to identify trends, patterns, and anomalies.
- Develop and implement statistical models and algorithms.
- Create clear and insightful data visualizations and reports.
- Support senior analysts in interpreting data and deriving actionable insights.
- Collaborate with cross-functional teams to understand data needs and project objectives.
- Contribute to the development and maintenance of data analysis tools and frameworks.
- Stay updated with the latest advancements and best practices in data science and analytics.
- Ensure data accuracy and integrity throughout the analysis process.
- Participate in training sessions and team knowledge-sharing initiatives.
Qualifications:
- Recent graduate with a Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
- Strong understanding of statistical concepts and methods.
- Proficiency in at least one programming language such as Python or R.
- Experience with data manipulation and analysis libraries (e.g., Pandas, NumPy).
- Familiarity with data visualization tools (e.g., Matplotlib, Seaborn, Tableau).
- Excellent analytical and problem-solving skills.
- Strong attention to detail and commitment to data accuracy.
- Good communication skills, with the ability to explain technical concepts to non-technical audiences.
- Eagerness to learn and adapt to new technologies and methodologies.
- Ability to work effectively both independently and as part of a team.
This is an exceptional entry-level opportunity for aspiring data professionals, located in our state-of-the-art facility in Delhi, Delhi, IN . If you are passionate about data and eager to build a career in analytics, we encourage you to apply.
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3
Head of Financial Risk Management
110001 Delhi, Delhi
₹2500000 Annually
WhatJobs Direct
Posted today
Job Viewed
Job Description
Our client, a distinguished institution within the banking and finance sector, is actively searching for a seasoned Head of Financial Risk Management to lead their risk division in **Delhi, Delhi, IN**. This executive role will oversee the identification, assessment, and mitigation of all financial risks faced by the organization, ensuring robust compliance with regulatory frameworks and safeguarding the company's financial health. You will be responsible for developing and implementing comprehensive risk management strategies, policies, and procedures across the group. This includes credit risk, market risk, operational risk, and liquidity risk. The Head of Risk will lead a team of dedicated risk professionals, fostering a strong risk-aware culture throughout the organization. Key duties involve analyzing market trends, economic indicators, and internal data to identify potential risks and opportunities. You will establish and monitor key risk indicators (KRIs) and ensure timely and accurate reporting to senior management and the board of directors. Collaboration with various departments, including legal, compliance, and finance, will be essential to integrate risk management into business operations. The ideal candidate will possess a Master's degree in Finance, Economics, or a related quantitative field, coupled with extensive experience (10+ years) in financial risk management within the banking or financial services industry. A strong understanding of regulatory requirements (e.g., Basel Accords) and sophisticated risk modeling techniques is mandatory. Exceptional leadership, strategic thinking, and communication skills are paramount for this senior position. This role offers a hybrid work arrangement, blending in-office collaboration with remote flexibility, and presents a significant opportunity for a leader to shape the risk landscape of a major financial institution.
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4
Senior Quantitative Analyst - Risk Management
110001 Delhi, Delhi
₹1200000 Annually
WhatJobs
Posted 6 days ago
Job Viewed
Job Description
Our client, a leading financial institution, is seeking a highly skilled Senior Quantitative Analyst to join their remote-based Risk Management division. This position requires a deep understanding of financial markets, sophisticated modeling techniques, and robust programming skills. You will be responsible for developing, validating, and implementing complex quantitative models for pricing, risk assessment, and hedging strategies across various asset classes. Key responsibilities include designing and performing stress tests, backtesting models, and ensuring compliance with regulatory requirements. You will work closely with trading desks, portfolio managers, and risk officers to provide insights and solutions to complex financial challenges. The role involves extensive data analysis, statistical modeling, and the development of efficient algorithms. Proficiency in programming languages such as Python, R, C++, or Java is essential, along with strong experience in SQL and database management. A solid grasp of derivative pricing, credit risk modeling, market risk, and operational risk is highly desirable. You will also be involved in contributing to the development of new financial products and the enhancement of existing risk systems. The ideal candidate will possess a strong academic background, typically a Master's or Ph.D. in a quantitative field such as Mathematics, Physics, Statistics, Economics, or Financial Engineering. Excellent communication skills are necessary to explain complex technical concepts to both technical and non-technical stakeholders. This is a fully remote opportunity, allowing you to contribute to critical financial risk management initiatives from your preferred location.
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5
Lead Financial Analyst, Risk Management
110001 Delhi, Delhi
₹1800000 Annually
WhatJobs
Posted 6 days ago
Job Viewed
Job Description
We are actively seeking a Lead Financial Analyst with a specialization in Risk Management to spearhead our financial risk assessment initiatives. This is a fully remote position, demanding a strategic thinker capable of analyzing complex financial data and developing robust risk mitigation strategies. You will play a pivotal role in identifying, evaluating, and managing financial risks across the organization, ensuring the stability and growth of our financial operations.
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.
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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6
Senior Quantitative Analyst, Risk Management
110001 Delhi, Delhi
₹1500000 Annually
WhatJobs
Posted 9 days ago
Job Viewed
Job Description
Our client, a prestigious global financial institution, is seeking a highly skilled Senior Quantitative Analyst specializing in Risk Management to join their sophisticated and fully remote risk analytics team. This role is critical in developing, implementing, and validating complex financial models used for assessing and mitigating market, credit, and operational risks. You will leverage advanced statistical techniques, programming skills, and a deep understanding of financial markets to build robust risk frameworks. The ideal candidate will be a strategic thinker, adept at translating intricate financial concepts into actionable insights and contributing to the firm's overall risk resilience. This is a remote-first position, requiring excellent collaboration and communication skills.
Responsibilities:
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:
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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7
Senior Quantitative Analyst, Risk Management
110017 Delhi, Delhi
₹130000 Annually
WhatJobs
Posted 18 days ago
Job Viewed
Job Description
Our client is seeking a highly analytical and accomplished Senior Quantitative Analyst to join their Risk Management division. This role will involve developing and implementing sophisticated quantitative models to assess, measure, and manage financial risks across various portfolios. You will leverage advanced statistical techniques, programming skills, and a deep understanding of financial markets to provide critical insights and drive informed decision-making.
Key Responsibilities:
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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8
Senior Quantitative Analyst - Risk Management
110001 Delhi, Delhi
₹1200000 Annually
WhatJobs
Posted 26 days ago
Job Viewed
Job Description
Our client, a leading financial institution, is seeking a highly skilled Senior Quantitative Analyst specializing in Risk Management to join their innovative team in Delhi, Delhi, IN . This critical role involves developing and implementing sophisticated quantitative models to assess, measure, and manage financial risks. The ideal candidate will possess exceptional analytical abilities, a deep understanding of financial markets and instruments, and proficiency in statistical modeling and programming.
Responsibilities:
Qualifications:
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.
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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9