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4 years

0 Lacs

Mumbai, Maharashtra

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Are you looking for an exciting opportunity to join a dynamic and growing team in a fast paced and challenging area? This is a unique opportunity for you to work in our team to partner with the Business to provide a comprehensive view. As a Risk Associate Market Risk within Corporate Risk Management, reporting to the Firm’s Chief Risk Officer, you will part of team which identifies, measures, monitors and controls market risk. Market risk management seeks to facilitate efficient risk / return decisions, reduce volatility in operating performance and ensure that the firm's market risk profile is transparent to senior management, the Board of Directors and regulators. Firmwide Market Risk works closely with the Market Risk teams aligned to each Line of Business as well as other partner teams (e.g., Wholesale Credit Risk, Liquidity Risk, Country Risk, Investment Risk, etc.).The group is a part of Market Risk Management and manages Stress Testing for the Firm. Working in close coordination with all risk functions, including Market Risk Coverage across different Lines of Businesses throughout the firm and other functions such as Wholesale Credit Risk, Liquidity Risk, Country Risk and Investment Risk, the Stress team is responsible for: Job Responsibilities Own, maintain and lead the improvement of the stress testing framework, which includes defining shocks across asset classes and risk factors, defining macro scenarios, and analyzing the results of the analysis versus imposed limits. Respond to regulatory requests from Federal Reserve Bank (FRB), Office of the Comptroller of the Currency (OCC), Prudential Regulation Authority (PRA) and other Agencies. We are the point of contact for the Market Risk contribution to the Comprehensive Capital Analysis and Review (CCAR) and Risk Appetite of the Firm. Understand the assumptions made and the limitations of the methodology and improving the process, documentation and controls. Manage the technology that serves as a central repository for stress testing that communicates with systems in each Line of Business. There is a continuous need to improve the infrastructure as stress testing evolves. Own, develop and maintain firmwide Market Risk stress testing methodology, including but not limited to shock design, documentation, governance and review. Own the asset class FSI shock Qualitative Model (QM) and relevant governance, partnering with asset class experts and Model Risk Governance and Review (MRGR) Develop, implement and oversee stress related technology process and controls, including both BAU enhancement and strategic infrastructure. Drive the Market Risk stress testing data science and strategic infrastructure initiatives to modernize stress calculation - partnering across teams in Market Risk Management, Quantitative Research, Technology, Product Management and Data Science groups - leveraging the firm’s robotics, machine learning and AI programs. Manage Trading Issuer Default Loss (IDL) submission for quarterly internal Risk Appetite and external regulatory exercises such as CCAR. Verify, analyze, and interpret Trading IDL calculation inputs and outputs, and perform impact analysis based on methodology and regulatory rules. Identify and mitigate operational risks and work towards streamlining and optimizing process efficiency, explain capabilities, and controls Collaborate closely with Internal / external control and audit teams to ensure effective risk management practices and support audit processes. Required qualifications, capabilities, and skills Bachelor's degree with Minimum 4 years work experience in the financial industry Strong quantitative and analytical background with existing knowledge of financial markets and complex financial product valuation along with a deep understanding of trading strategies / exposures for one asset class; experience across various asset classes . Knowledge of risk sensitivities on financial products including Option Greeks and an understanding of financial product valuation and explanation Advanced skills in analyzing large datasets using Excel, Tableau or other software Prior experience of working with technology teams on risk system enhancements / infrastructure projects and performing user acceptance testing; experience with JPM risk systems. Strong control and risk management mindset while still driving process enhancement and improvements Proven strong project leadership skills, business writing skills and communication skills to drive initiatives to completion and lead discussions across multiple stakeholder teams

Posted 6 months ago

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0 years

0 Lacs

Bengaluru, Karnataka

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Are you looking for an exciting opportunity to join a dynamic and growing team in a fast paced and challenging area? This is a unique opportunity for you to work in our team to partner with the Business to provide a comprehensive view. As an Associate in Loss Forecasting Modeling Analytics within the Consumer Credit Risk Management team, you will execute credit loss forecasting models, diagnose model accuracy, and lead analyses to identify relationships and patterns that influence the loss performance of our product portfolio. You will also have the opportunity to establish a control framework within our function. Your responsibilities will include executing processes through analytical insights, predictive analysis, and the application of new technologies. This role offers an exciting opportunity to enhance your skills in a dynamic and fast-paced environment. Within the broader Consumer Credit Risk Management is the Loss Forecasting team. Our team provides reasonable forecasts of delinquencies, charge off and recovery of charged off assets throughout the year for Regulatory (CCAR and Risk Appetite), capacity planning and year-end budget in partnership with P&A, collections, recovery teams by means of various macro-economic scenarios. The team is also responsible for monitoring the health of the portfolio and updating stakeholders and senior management on emerging trends. Job responsibilities Execute credit loss forecasting models to forecast credit losses and allowance for our product portfolio supporting regulatory exercises like CCAR, CECL, firmwide Risk Appetite and Budget Determine the loss forecasting results and levers. You will be required to present to senior management and other internal stakeholders Diagnose the Model parameters and liaison with modelling team to propose changes to model for accuracy at granular segments Participate in cross-functional communications with Risk Management, Finance, Marketing and Collections to inform the forecast on current learnings and incorporate strategic initiatives Conduct macro sensitivity analytics, loss and allowance attribution, deep dives and story-boarding Lead advanced analyses to assess relationships and patterns driving loss performance Required qualifications, capabilities, and skills A Bachelor's or Master's Degree in a quantitative discipline (Finance/Stats/Econ/Math/Engineering) or equivalent work/training Minimum 4 yrs of banking analytics, product / revenue analytics, FP&A, and/or consulting experience for a Associate role Minimum 2 yrs of banking analytics, product / revenue analytics, and/or consulting experience for Associate role Proficiency in Microsoft Office suite of products (Advanced Excel, VBA and PowerPoint) Strong analytical and problem solving skills with the ability to interpret large amounts of data and its impact in either operational and financial areas Well-organized and structured with strong communication and presentation skills Preferred qualifications, capabilities, and skills Working Knowledge of regulatory modeling (IFRS9 / CECL / CCAR) Credit risk experience in one or more US consumer credit portfolios (i.e. U.S. Mortgage, Credit Card, Automotive, Business Banking, Wealth Management, Private Banking) Working knowledge of P&A, product analytics, statistical modeling, model execution Actual work experience in one of the following – Python / SAS / SQL / Alteryx / Cloud application architecture

Posted 8 months ago

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Exploring Macro Jobs in India

The job market for macro professionals in India is growing rapidly, with an increasing demand for skilled individuals who can analyze and interpret large sets of data to help organizations make informed business decisions. In this article, we will explore the macro job market in India, including top hiring locations, average salary range, career progression, related skills, and common interview questions.

Top Hiring Locations in India

  1. Bangalore
  2. Mumbai
  3. Delhi
  4. Hyderabad
  5. Pune

These major cities in India are actively hiring for macro roles, offering a plethora of job opportunities for job seekers in this field.

Average Salary Range

The average salary range for macro professionals in India varies based on experience and expertise. Entry-level professionals can expect to earn between INR 4-6 lakhs per annum, while experienced professionals with several years of experience can earn upwards of INR 15 lakhs per annum.

Career Path

In the field of macro, a typical career progression may involve roles such as Data Analyst, Business Analyst, Data Scientist, and eventually moving up to positions such as Analytics Manager or Chief Data Officer.

Related Skills

In addition to expertise in macro, professionals in this field are often expected to have skills in data visualization, statistical analysis, programming languages such as Python or R, and knowledge of machine learning algorithms.

Interview Questions

  • What is the difference between macro and micro economics? (basic)
  • Can you explain the concept of GDP and how it is calculated? (basic)
  • How do you handle missing data in your analysis? (medium)
  • What is the importance of regression analysis in macroeconomics? (medium)
  • How do you determine the significance of a variable in a regression model? (medium)
  • Can you explain the concept of time series analysis? (advanced)
  • How do you interpret the results of a hypothesis test? (medium)
  • What is multicollinearity and how does it affect regression analysis? (advanced)
  • How do you ensure the accuracy and reliability of your data analysis? (medium)
  • Can you explain the concept of ARIMA models? (advanced)
  • How do you approach forecasting in macroeconomics? (medium)
  • What is the role of data visualization in macro analysis? (basic)
  • How do you handle outliers in your data analysis? (medium)
  • Can you explain the concept of causality in economic analysis? (advanced)
  • How do you stay updated with the latest trends and developments in macroeconomics? (basic)
  • What is the difference between correlation and causation? (medium)
  • How do you determine the appropriate sample size for your analysis? (medium)
  • Can you explain the concept of seasonality in time series analysis? (advanced)
  • How do you communicate your findings and recommendations to non-technical stakeholders? (medium)
  • How do you approach data cleaning and preprocessing in your analysis? (medium)
  • Can you explain the concept of heteroscedasticity in regression analysis? (advanced)
  • How do you ensure the privacy and security of sensitive data in your analysis? (medium)
  • What is the role of hypothesis testing in macroeconomic research? (medium)
  • Can you walk us through a recent project where you successfully applied macro analysis to drive business insights? (advanced)

Conclusion

As you explore the macro job market in India, it is essential to equip yourself with the necessary skills and knowledge to stand out in interviews and excel in your career. By preparing thoroughly and showcasing your expertise, you can confidently apply for macro roles and advance your career in this dynamic field. Good luck!

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