Quantitative Risk Analyst

Bernard Nickels & Associates; United States; On-site; USD 80,000 - 110,000; Full time

Job summary

A financial services firm is seeking a Quantitative Risk Analyst to oversee risk management practices in areas such as capital management, enterprise risk, and compliance. The ideal candidate will possess a Bachelor's degree along with 1-3 years of relevant experience. Responsibilities include monitoring capital ratios, developing risk frameworks, and executing hedging strategies. Strong analytical and communication skills are essential, along with proficiency in tools like Excel, Python, and Power BI.

Qualifications

• 1-3 years of experience in risk management and financial services.
• Strong knowledge of capital management and investment strategies.
• Familiarity with financial regulation compliance.

Responsibilities

• Monitor capital ratios and compliance.
• Help develop a risk management framework.
• Develop hedging strategies and investment management.
• Stay updated with regulatory changes and ensure compliance.

Skills

Analytical skills

Communication skills

Financial modeling

Project management

Leadership

Education

Bachelor’s Degree in Finance, Economics, or a related field

Master’s degree preferred

Tools

Excel

Power BI

Tableau

Python

SQL

VBA

Job description

Overview

Summary/Objective The Quantitative Risk Analyst will be a key piece in our organization, responsible for supporting the highest standards in risk management with a specific focus on capital management, enterprise risk management (ERM), hedging, investment management, and reinsurance frameworks. This individual will provide support in assessing and mitigating financial risks within our annuity business, ensuring the company's stability, profitability, and regulatory compliance.

Responsibilities

• Capital Management: Monitor capital ratios to maintain regulatory and rating agency compliance.
• Enterprise Risk Management (ERM): Help develop a robust risk management framework across the organization, allowing for early risk identification, assessment, mitigation, and reporting.
• Hedging: Develop and maintain strategies for managing financial risk. Perform the execution of hedging programs to ensure alignment with the company’s risk tolerance and strategic objectives.
• Investment Management: Monitor the investment risk in relation to annuities. Collaborate with the investment team to ensure the portfolio aligns with the company's risk and return objectives.
• Reinsurance Models: Work with actuaries to create and validate complex financial and reinsurance models. Identify any potential risks and develop strategies to mitigate them.
• Regulatory Compliance: Stay updated with all annuity business regulatory changes. Ensure compliance with all applicable federal and state regulations.
• Risk Management Expertise: A deep understanding of various types of risks, including market risk, credit risk, operational risk, liquidity risk, and reputational risk. This includes knowledge of best practices in risk management, risk assessment methodologies, and risk mitigation strategies.
• Industry Knowledge: Possess extensive knowledge about the insurance and investment industries, including an understanding of the regulatory environment, financial market dynamics, and various investment strategies and products.
• Strategic Planning: Proficient in strategic planning and decision-making to align risk management initiatives with overall business objectives. This includes designing and implementing risk management frameworks and policies.
• Analytical Skills: Strong analytical skills to identify, assess, and monitor risks. This includes the ability to analyze complex financial data and models and to make informed decisions based on this analysis.
• Leadership and Management: The candidate should have proven leadership skills, with the ability to manage a team of risk management professionals. This includes talent development, team building, and performance management.
• Communication Skills: Excellent communication skills are necessary to effectively explain risk reports and strategies to the board, executives, stakeholders, and regulatory bodies. This includes negotiation and influencing skills.
• Project Management: They should have project management skills, with the ability to oversee multiple risk management projects simultaneously, and ensure they are completed on time and within budget.

Qualifications

• Bachelor’s Degree in Finance, Economics, or a related field; Master’s degree preferred.
• A minimum of 1-3 years of experience in the financial services industry with a focus on risk management, annuity products, and reinsurance.
• Professional designations such as FSA, CFA, or similar are preferred.
• Strong knowledge of capital management, ERM, hedging strategies, investment management, and reinsurance.

Data Analysis and Visualization

• Excel (Advanced): Proficiency in pivot tables, macros, and data analysis tools.
• Data Visualization Tools: Power BI, Tableau, or similar platforms to create risk reports and dashboards.
• Statistical Analysis Software: R, SAS, or Python libraries like Pandas, NumPy, and Matplotlib for risk modeling and data manipulation.

Programming Skills

• Python: Widely used for quantitative analysis, data cleaning, and risk modeling.
• SQL: Essential for querying and managing data in relational databases.
• VBA (Visual Basic for Applications): Automating repetitive tasks in Excel or building risk calculation tools.
• Financial Modeling and Risk Assessment Tools

Risk Management Software

• MATLAB, Bloomberg Terminal, or Risk Metrics familiarity.

• Monte Carlo Simulations: Skills in designing and analyzing simulations to predict portfolio risks.
• Credit Risk Tools: Experience with Moody’s Analytics or similar tools.
• Cybersecurity Awareness
• Understanding of data security and regulatory compliance frameworks like GDPR, SEC regulations, or SOC 2, especially when dealing with sensitive financial data.

Machine Learning and AI

• Knowledge of machine learning models and algorithms to forecast risks and detect patterns (e.g., scikit-learn, TensorFlow).
• Experience with tools like Charles River, BlackRock Aladdin, or FactSet for portfolio risk analysis and compliance monitoring.

Risk-Specific Software

• Value at Risk (VaR) Tools: Experience in calculating and interpreting VaR using various methods (historical, variance-covariance).
• Stress Testing Tools: Skills in creating hypothetical scenarios to test portfolio resilience.

Cloud and Big Data Platforms

• Experience with platforms like AWS, Azure, or Google Cloud for data storage and processing.
• Big data tools like Hadoop or Spark to handle large-scale datasets for analysis.

Regulatory and Compliance Tools

• Familiarity with compliance monitoring systems such as AxiomSL or Wolters Kluwer for adhering to financial regulations.
• Reporting Tools: Skills in generating automated and interactive reports. In-depth understanding of financial markets, economic indicators, and regulatory environment.

Other Skills

• Excellent analytical, problem-solving, and decision-making skills.
• Exceptional communication skills, both written and verbal, with the ability to articulate complex ideas to a variety of audiences.

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Analyst
• Industries: Insurance and Financial Services

Note: This refined description removes unrelated postings and keeps the core responsibilities and qualifications relevant to the Quantitative Risk Analyst role.