NO SPONSORSHIP
QUANT - INTERNAL AUDIT FINANCIAL RISK & MODELING - FINANCIAL
SALARY: 150-170K + Bonus
LOCATION: CHICAGO
3 DAYS IN OFFICE 2 DAYS REMOTE
Looking for a person who is a quant who does modeling Financial risk management 80% of the time. 20% audit. Is familiar with Python, understands the code
Looking for a candidate that has experience calculating complex derivatives and performing advanced statistical analysis on underlying risk factors. Credit counter party risk & stress testing models for derivative instrument to credit historical VaR monte carlo TIMS and span data analysis and programming python C java. Experience in internal audit model risk management financial security industry SEC CFTC Financial
Delivery
- Lead or execute quantitative reviews/audits/validations (conceptual soundness, documentation, data, methodology, development code, testing, and implementation for accuracy) of models or financial risk tools used for credit risk, market risk, liquidity risk and stress testing.
- Support financial risk management audits and validations as required.
Quality
- Maintaining an understanding of policies, procedures, standards, and supporting technologies, and educating staff accordingly, to effectively identify potential risks and alternatives to mitigate risk exposure leveraging leading practices.
- Ability to understand and apply professional principles and standards (e.g., AICPA, IIA GIA, COSO) and the relevancy to risk management and impact on policies and procedures. In addition, leveraging these principles and standards to test and evaluate corporate risk management processes and controls.
Qualifications
- Experience working in a complex, fast paced environment.
- Experience using the principles, practices, and techniques involved in conducting audits in accordance with the requirements set forth in the Global International Audit Standards (IIA GIA).
- Preferred Consulting and/or accounting firm experience.
- Preferred Experience in Internal Audit, Model Risk Management, Financial Services/Securities Industry and working with regulatory organizations such as: Securities and Exchange Commission (SEC), Commodity Futures Trading Commission (CFTC), Financial Industry Regulatory Authority (FINRA), Federal Reserve.
Technical Skills
- Experience in evaluating complex derivatives and performing advanced statistical analysis on underlying risk factors.
- Experience with reviewing credit/counterparty risk and stress testing models for derivative instruments (e.g., Historical VaR, Monte Carlo, TIMS and SPAN).
- Experience in data analysis and programming languages such as Python, C , and Java.
Education and/or Experience
- Required Minimum 5 years of experience in model risk management methodology.
- Preferred master's degree in mathematics or Statistics, Financial Engineering, Economics, or other field possessing strong quantitative, analytical, and problem-solving skills. Alternatively, a Ph. D degree majored in quantitative field and over 1 year of work experience.
- Preferred Experience in executing model risk audits.
Certificates or Licenses
- Preferred Certification such as Professional Risk Managers' International Association - Professional Risk Manager (PRMIA-PRM), Financial Risk Manager (FRM), Certificate in Quantitative Finance (CQF), Chartered Financial Analyst (CFA), Certified Financial Services Auditor (CFSA), Certified Internal Auditor (CIA), Certified Public Accountant (CPA), or equivalent.