As a Manager, Risk QA, you will work with Company’s Clearing Risk Technology group and Clearing House Risk teams to help execute Clearing House Risk Management initiatives from a technology perspective. You will work with Clearing House Risk department, System Analysts, QA Analysts, and Development Teams to plan and execute Clearing Risk Technology Platform releases. You will create and execute test plans and test cases based on business/system requirements. You will be responsible for creating and maintaining QA artifacts by following the current standards along with coordinating test execution, training users, and providing user support. You will be responsible for owning specific systems and production releases from QA perspective in a hands-on role. You will train, lead, and manage QA team members. You must be results-oriented, self-motivated and have the ability to thrive in a fast-paced environment. This role requires frequent interaction with project managers, developers, product managers, and risk management/quantitative analysts in order to ensure that we deliver a quality Clearing House Risk Platform to our users. Analytical skills and the ability to understand and test quantitative risk assessment/margin calculation models are crucial for the role. Responsibilities
Work with technology team to build cutting edge Clearing House Risk Platform systems running in on-premise cloud infrastructure
Be the go-to person from Risk QA perspective for key stakeholders from Clearing House business, technology, and operations teams
Demonstrate a strong technical skillset and strong understanding of quantitative finance and clearing house risk management concepts.
Review technical requirements with quantitative models terminology to produce test strategies, test scenarios, and test cases
Create test plans, defining test scope, resources, dependencies, risks, and the overall strategy for testing complex software systems
Implement, maintain, and troubleshoot test harnesses, including implementations for various quantitative models
Perform all aspects of verification, including functional, regression, system, and integration testing for applications designed using multi-tiered-based architecture
Deploy application builds and maintain test environments
Perform troubleshooting of software / hardware configuration problems
Demonstrate a passion for finding software bugs in complex algorithms
Plan resource assignments, track and report progress of work, provide necessary guidance/training and feedback to team members
Identify opportunities for continuous improvement, and work with relevant teams to define and execute on ideas to realize the opportunities
Knowledge and Experience
Understanding of financial markets/clearing house risk management concepts (portfolio risk management, margin calculations, options pricing, historical simulation, etc.) is required
Ability to understand and implement reference models for functionality containing financial engineering formulas and create test plans from the same
Ability to independently write complex SQL queries involving data searches and mathematical calculations over large datasets is a must. Prefer 5+ years’ experience writing and executing SQL queries.
B.S. or higher in Computer Science, Mathematical Finance, Quantitative and Computational Finance, Information Systems or related discipline
7+ years of overall QA experience in roles of increasing responsibility
Prefer 5+ years’ experience with commodity markets, financial trading environment, or equity brokerage business and exposure to futures markets
2+ years’ experience scripting using Python, JavaScript, etc.
Experience participating in all aspects of a full-lifecycle development methodology, and related quality concepts and processes
Expert knowledge of QA processes, tools for test case management, test automation, test techniques and strategies and QA methodologies
Strong problem-solving, analytical, technical, and troubleshooting skills
Ability to set priorities and multi-task in a fast paced environment
Experience and passion for building effective teams and coaching team members in a hands-on role
Excellent communication and interpersonal skills along with good organizational skills and attention to detail
Ability to work well within a team and collaborate effectively across teams
Schedule This role offers work from home flexibility of 1 day per week.