Risk Management Analyst

Calamos Recruiting•Chicago, IL

1d•Onsite

About The Position

Calamos Advisors LLC is seeking a Risk Management Analyst in Chicago, Illinois. The role involves developing and maintaining robust quantitative models and methodologies to measure and analyze various types of risks, including market, credit, liquidity, and operational risk. The analyst will be responsible for validating and stress-testing models, creating stress testing scenarios, and integrating them into dashboards. Key duties include conducting in-depth analysis of portfolio performance, identifying sources of outperformance or underperformance, and providing actionable insights. The position also focuses on improving trading decision tools, back-testing strategies, and conducting portfolio optimizations. The analyst will prepare comprehensive risk reports for senior management, portfolio managers, and other stakeholders, articulating complex risk concepts clearly. Responsibilities extend to creating and managing reporting infrastructure, migrating scheduled jobs to the cloud, building SQL views and Python scripts, and maintaining documentation. The role requires staying updated with advancements in risk management techniques and technologies, conducting research to identify new risk factors, and proposing enhancements to existing frameworks. The analyst will develop innovative risk models aligned with evolving market dynamics and fund investment objectives, create deep learning models, explore automation algorithms, and develop infrastructure for new technologies. Collaboration with IT, Compliance, and Legal to implement SEC rules is essential, as is developing internal calculations and reporting, vetting third-party providers, enhancing risk monitoring systems, addressing client data requests, and developing comprehensive risk dashboards.

Requirements

Master’s degree in Quantitative Finance, Financial Mathematics, or a related field
2 years of experience in investment risk management
Work or academic experience in financial coding and software tools including Python, Git, SQL, Databricks, MS Office, Azure Machine Learning Studio, Power BI DAX, data modeling and report design
Work or academic experience with financial vendors Blooomberg terminal, including BQL and PORT Enterprise report automation, and MSCI BarraOne and Barra Portfolio Manager, including Optimization
Work or academic experience with machine learning techniques including deep learning to financial datasets
Work or academic experience applying NLP to financial datasets, both text to data and data to text
Work or academic experience with elements of quantitative finance including multi-asset class factor models and modern portfolio theory, options theory, including greeks and trading strategies, convertible bonds, fixed income statistics and attribution, long/short equity risk and hedging, and how macroeconomic indicators impact these elements

Responsibilities

Develop and maintain robust quantitative models and methodologies to measure and analyze various types of risks, including market risk, credit risk, liquidity risk, and operational risk
Validate and stress-test models
Create stress testing scenarios and integrate into dashboards
Conduct in-depth analysis of portfolio performance, identify sources or outperformance or underperformance and provide actionable insights
Improve trading decision tools, back test strategies, and conduct portfolio optimizations
Prepare comprehensive risk reports, presenting findings to senior management, portfolio managers, and other stakeholders
Articulate complex risk concepts in a concise and understandable manner
Ensure effective communication of risk-related information throughout the organization
Create and manage reporting infrastructure – migrate scheduled jobs to the cloud, build SQL views and Python scripts, and maintain documentation
Stay up-to-date with the latest advancements in risk management techniques and technologies
Conduct research to identify new risk factors and propose enhancements to existing risk management frameworks
Develop innovative risk models that align with the evolving market dynamics and the fund's investment objectives
Create deep learning models, explore automation algorithms and develop infrastructure for new technologies
Collaborate with IT, Compliance and Legal to implement SEC rules
Develop internal calculations and reporting in addition to vetting 3rd party providers
Enhance risk monitoring systems, address client data requests and develop comprehensive risk dashboards