58 минут назад
Lead Associate Principal, Quantitative Risk Management
128 800 - 230 200$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Lead Associate Principal, Quantitative Risk Management (Financial Risk Modeling): Developing and maintaining pricing, margin, clearing fund, and stress-testing models for financial products and derivatives with an accent on quantitative analytics, model implementation, and performance testing. Focus on building Python and Java model libraries, validating algorithms through backtesting and automated QA, and supporting production risk calculations.
Location: Chicago, United States; hybrid work with up to 2 days per week of remote work
Salary: $128,800–$230,200 per year, plus an annual discretionary incentive target of 8%–15%.
Company
is a systemically important financial market utility providing clearing and settlement services for options, futures, and securities lending transactions.
What you will do
- Develop pricing, margin-risking, clearing-fund, and stress-testing models for financial products and derivatives.
- Design, implement, and maintain model prototypes, model libraries, and testing tools.
- Perform model performance testing, portfolio backtesting, margin impact analysis, and release testing.
- Review model algorithms, requirements, code quality, testing quality, and technical documentation.
- Build automated unit tests and reference models, support model-library integration, and troubleshoot production issues.
- Collaborate with quantitative analysts, risk managers, business users, validation specialists, and data and technology teams.
Requirements
- Master’s degree or equivalent in a quantitative field such as computer science, mathematics, physics, finance, or financial engineering.
- 5–7 years of experience in quantitative finance and/or model implementation and testing.
- Strong knowledge of derivatives pricing, stochastic calculus, statistics, probability, econometrics, time-series analysis, machine learning, numerical methods, optimization, Monte Carlo simulation, and finite differences.
- Advanced Java skills for enterprise-level model implementation and advanced Python skills for model development, prototyping, and database manipulation.
- Experience with SQL and databases, numerical or scientific-computing libraries, automated QA frameworks, Git, GitHub, Jenkins, build and deployment tools, and object-oriented design.
- Knowledge of risk-management methods and financial derivatives across equity, interest-rate, and commodity products; ability to challenge model methodologies and assumptions.
Nice to have
- Agile/Scrum experience.
- Non-relational databases, Big Data, cloud computing, or high-performance computing experience.
- Numerical optimizers such as NAG, MATLAB, or similar tools.
- FRM, CFA, or similar certification.
- PhD in a quantitative field.
Culture & Benefits
- Collaborative and supportive work environment focused on work-life balance and employee wellness.
- Tuition reimbursement and student loan repayment assistance.
- Technology stipend for remote work.
- Generous PTO and parental leave.
- 401(k) employer match and medical, dental, and vision benefits.
Hiring process
- Submit an application and resume through the careers site.
- Receive confirmation that the application has been received.
- If selected, complete an interview arranged by an representative.
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