10 Risk Management jobs in Indore

• Develop, implement, and maintain risk management policies and procedures.
• Conduct comprehensive risk assessments, identifying potential financial, operational, and strategic risks.
• Analyze financial data to identify trends, anomalies, and potential areas of concern.
• Develop and utilize risk models to quantify and forecast potential losses.
• Monitor key risk indicators (KRIs) and report on risk exposures.
• Prepare detailed reports and presentations for senior management on risk status and mitigation strategies.
• Collaborate with various departments to ensure a consistent approach to risk management.
• Stay abreast of industry best practices and regulatory changes affecting financial risk.
• Assist in the development and testing of business continuity and disaster recovery plans.
• Contribute to the continuous improvement of the organization's risk management capabilities.

• Bachelor's degree in Finance, Economics, Accounting, or a related quantitative field.
• Proven experience in financial analysis, risk management, or a similar role within the banking or financial services sector.
• Strong understanding of financial instruments, markets, and regulatory frameworks (e.g., Basel Accords).
• Proficiency in statistical analysis, financial modeling, and risk assessment techniques.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong written and verbal communication skills, with the ability to present complex information effectively.
• Proficiency in Microsoft Excel, financial software, and data visualization tools.
• Ability to work independently and as part of a collaborative team.
• Relevant certifications such as FRM, CFA, or PRM are a plus.
• High level of integrity and ethical conduct.

• Develop, implement, and maintain quantitative models for market, credit, and operational risk assessment.
• Conduct rigorous statistical analysis and back-testing of risk models.
• Design and perform stress testing and scenario analysis to evaluate portfolio resilience.
• Contribute to the development and enhancement of the firm's overall risk management framework.
• Collaborate with business units to understand their risk exposures and provide quantitative support.
• Ensure models comply with regulatory requirements (e.g., Basel III, FRTB).
• Develop algorithms and data mining techniques to identify emerging risks.
• Communicate complex quantitative findings to non-technical stakeholders clearly and effectively.
• Stay abreast of the latest academic research and industry best practices in quantitative finance and risk management.
• Automate reporting processes and enhance data infrastructure for risk analytics.

• Master's degree or PhD in Mathematics, Statistics, Financial Engineering, Physics, or a related quantitative field.
• Minimum of 5 years of experience in quantitative finance, risk management, or a related role.
• Strong programming skills in Python, R, C++, or similar languages.
• Proficiency in statistical modeling, time series analysis, and machine learning techniques.
• Deep understanding of financial instruments, markets, and risk management principles.
• Experience with data manipulation and database querying (SQL).
• Excellent analytical, problem-solving, and critical thinking abilities.
• Ability to work independently and manage multiple projects in a remote environment.
• Strong written and verbal communication skills.
• Experience with regulatory frameworks (e.g., FRTB, Basel) is highly desirable.

• Develop, test, and implement actuarial models for pricing, reserving, and financial projections.
• Analyze insurance data to assess risks, identify trends, and provide insights for product development and pricing strategies.
• Perform loss reserving analyses for various lines of business, ensuring adequacy and compliance with regulatory requirements.
• Conduct experience studies and analyze underwriting results to inform pricing and risk selection.
• Develop and maintain documentation for actuarial models and methodologies.
• Assist in the preparation of regulatory filings and financial reports.
• Collaborate with other departments to provide actuarial support and expertise.
• Monitor industry developments and regulatory changes impacting actuarial practices.
• Contribute to strategic initiatives by providing quantitative analysis and recommendations.
• Mentor junior analysts and support their professional development.

• Bachelor's degree in Actuarial Science, Mathematics, Statistics, or a related quantitative field.
• Progress towards ASA/FSA or equivalent actuarial designations is required; near-completion preferred.
• Minimum of 4 years of actuarial experience in the insurance industry.
• Proficiency in actuarial software and statistical modeling tools (e.g., R, Python, SAS, Emblem, ResQ).
• Strong understanding of insurance principles, product features, and financial reporting.
• Excellent analytical, problem-solving, and quantitative skills.
• Effective written and verbal communication skills, with the ability to explain complex concepts to diverse audiences.
• Detail-oriented with a commitment to accuracy and quality.
• Ability to work independently and collaboratively in a team environment.

• Develop, implement, and backtest sophisticated quantitative models for market risk, credit risk, and pricing of financial derivatives.
• Perform statistical analysis of financial data to identify trends, correlations, and potential risks.
• Validate existing models and methodologies to ensure their accuracy, robustness, and compliance with regulatory requirements (e.g., Basel III, IFRS 9).
• Collaborate with front-office trading desks, risk managers, and compliance officers to understand business needs and translate them into quantitative solutions.
• Design and implement stress testing scenarios and sensitivity analyses.
• Automate reporting processes and develop dashboards to visualize risk metrics and model performance.
• Stay abreast of the latest developments in quantitative finance, financial engineering, and regulatory frameworks.
• Document model specifications, assumptions, and methodologies thoroughly.
• Mentor junior quantitative analysts and contribute to the team's technical expertise.
• Present complex quantitative findings to senior management and stakeholders in a clear and concise manner.

• Master's degree or Ph.D. in a quantitative field such as Mathematics, Statistics, Physics, Financial Engineering, or Economics.
• Minimum of 7 years of experience in quantitative analysis within the banking, finance, or asset management industry.
• Strong expertise in statistical modeling, time series analysis, econometrics, and stochastic calculus.
• Proficiency in programming languages such as Python, R, C++, or Java.
• Experience with financial modeling software and tools.
• In-depth knowledge of financial markets, derivatives, and risk management principles.
• Familiarity with regulatory frameworks relevant to the financial industry.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong written and verbal communication skills, with the ability to explain complex concepts effectively.
• Meticulous attention to detail and a commitment to accuracy.

• Develop, maintain, and enhance actuarial models for pricing, reserving, and solvency capital requirements across various lines of business.
• Perform complex financial analysis and projections related to policy liabilities, assets, and investment returns.
• Conduct in-depth risk assessments and provide recommendations to mitigate financial exposures.
• Collaborate with underwriting, product development, and finance teams to ensure accurate risk assessment and pricing strategies.
• Prepare regulatory filings and reports, ensuring compliance with all relevant actuarial standards and legal requirements.
• Mentor and guide junior actuarial analysts, fostering their professional development and ensuring high-quality work.
• Evaluate the impact of economic, demographic, and regulatory changes on the company's financial position.
• Present findings and recommendations to senior management and other stakeholders in a clear and concise manner.
• Contribute to the strategic planning process by providing actuarial insights and data-driven recommendations.

• Bachelor's or Master's degree in Actuarial Science, Mathematics, Statistics, or a related quantitative field.
• Progressive experience (e.g., 8+ years) in the insurance industry, with a specialization in actuarial analysis and risk management.
• Completion of multiple actuarial exams (e.g., ACAS, FCAS, FIA, FINA, or equivalent) is strongly preferred.
• Proficiency in actuarial software (e.g., Prophet, GGY Axis, ResQ) and programming languages (e.g., R, Python, SQL).
• Advanced knowledge of statistical modeling, financial mathematics, and insurance regulations.
• Exceptional analytical, problem-solving, and quantitative skills.
• Strong communication and presentation abilities, with the capacity to explain complex technical concepts to non-technical audiences.
• Demonstrated leadership potential and experience in team collaboration.

Job Title: Oracle Cloud Security and Risk Management (RMC) Consultant

Experience: 5–7 Years

Location: India Offshore

Job Summary:

We are seeking an experienced Oracle Cloud Security and Risk Management (RMC) Consultant to join our team. The ideal candidate will have 5–7 years of hands-on experience in Oracle Fusion Security, Oracle Cloud Infrastructure (OCI), PaaS Security, and Oracle Risk Management Cloud (RMC). This role will be responsible for designing, implementing, and managing robust security frameworks and risk controls across Oracle Cloud platforms.

Key Responsibilities:

• Design and manage user roles, data security, and access controls within Oracle Fusion Applications.
• Implement and maintain security policies in Oracle Cloud Infrastructure (OCI).
• Configure and monitor PaaS-level security and compliance requirements.
• Lead the setup and continuous improvement of Oracle Risk Management Cloud, including Advanced Financial Controls (AFC) and Segregation of Duties (SoD), Advance Access Controls (AAC) and Financial reporting Compliance (FRC), Advance Access Request (AAR) modules.
• Perform risk assessments and compliance audits, supporting internal and external regulatory requirements.
• Collaborate with business and technical teams to align security controls with business processes.
• Respond to security incidents and perform root cause analysis.

Required Skills & Qualifications:

• 5–7 years of experience in Oracle Cloud Security (Fusion, OCI, and PaaS).
• Proven expertise in Oracle Cloud Risk Management (RMC) and related governance frameworks.
• Strong knowledge of SoD, role-based access control (RBAC), and audit policies.
• Hands-on experience with Oracle Identity and Access Management (IAM) concepts.
• Excellent problem-solving, communication, and stakeholder engagement skills.
• Oracle certifications (preferred but not required).

Preferred Qualifications:

• Experience with compliance standards such as SOX, GDPR.
• Knowledge of automation and monitoring tools related to cloud security.

• Develop and implement credit risk strategies and policies.
• Analyze and assess the creditworthiness of corporate clients and financial institutions.
• Monitor and manage the credit risk exposure of loan portfolios.
• Develop and maintain credit risk models and methodologies.
• Prepare comprehensive credit risk reports for senior management and regulatory bodies.
• Identify emerging credit risks and recommend appropriate mitigation strategies.
• Collaborate with business units to ensure adherence to credit risk appetite.
• Stay abreast of industry best practices and regulatory changes in credit risk management.
• Conduct stress testing and scenario analysis on credit portfolios.

• Master's degree in Finance, Economics, Business Administration, or a related quantitative field.
• 7+ years of experience in credit risk management, financial analysis, or a similar role within the banking sector.
• Strong understanding of financial statement analysis, credit scoring models, and rating methodologies.
• Proficiency in financial modeling and data analysis tools (e.g., Excel, SQL, Python, R).
• In-depth knowledge of regulatory requirements related to credit risk (e.g., Basel Accords).
• Excellent analytical, problem-solving, and decision-making skills.
• Strong communication and interpersonal skills, with the ability to influence stakeholders.
• Proven ability to work independently and effectively in a remote team environment.

• Conduct detailed statistical analyses of historical claims data to identify trends and patterns.
• Develop and maintain actuarial models for pricing new insurance products and evaluating existing ones.
• Perform loss reserve analysis and provide recommendations for reserving levels.
• Assess the financial impact of regulatory changes and industry best practices on pricing and reserving.
• Collaborate with underwriters and product development teams to ensure accurate risk assessment and pricing strategies.
• Prepare actuarial reports and presentations for management, regulatory bodies, and other stakeholders.
• Utilize actuarial software and programming languages (e.g., R, Python, SQL) for data analysis and model development.
• Contribute to the development and implementation of new actuarial methodologies.
• Monitor the performance of insurance portfolios and identify areas for improvement.
• Ensure compliance with all relevant actuarial standards and regulations.

• Bachelor's degree in Actuarial Science, Mathematics, Statistics, or a related quantitative field.
• Progress towards actuarial exams (e.g., ASA, FSA) is highly desirable.
• Minimum of 3 years of experience in the insurance industry, with a focus on actuarial analysis.
• Strong understanding of insurance principles, risk management, and financial modeling.
• Proficiency in statistical analysis, data manipulation, and predictive modeling techniques.
• Experience with actuarial software (e.g., Prophet, GGY Axis) and programming languages is a plus.
• Excellent problem-solving skills and attention to detail.
• Strong communication and interpersonal skills, with the ability to explain technical concepts to non-technical audiences.
• Ability to work effectively both independently and as part of a collaborative team in a hybrid work environment.
• Familiarity with Indian insurance regulations is an advantage.