Who we are looking for
An experienced professional with a strong technical and quantitative aptitude to act as Quantitative Model Risk Analyst, Assistant Vice President based in Hangzhou, China. This role will report to model validation lead in China, within Model Risk Management Department.
Why this role is important to us
The team you will be joining plays an important role in the overall success of the organization. Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. To make that happen we need teams like yours to help navigate employees and the organization as a whole. In your role you will strive for cutting-edge solutions, that are straightforward and scalable. You will help us build resilience and execute day to day deliverables at our best. Join us if making your mark in the financial services industry from day one is a challenge you are up for.
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What you will be responsible for
As Quantitative Model Risk Analyst, AVP you will
o Perform validations on quantitative models utilized by State Street for regulatory reporting and business decision-making, including Securities Finance, FX Sales & Trading, Portfolio Solutions, Global Credit Finance.
o Perform deep analysis on large scale datasets through applying mathematical derivation, statistical analysis or machine learning approaches.
o Conduct quantitative analysis to evaluate and quantify risks of various models.
o Streamline the existing analytical process; increase the pace of execution through automation.
o Communicate with model developers and business to relay the issues and feedback and capture the action plans.
o Prepare and present required reports/reviews to management and regulators.
What we value
These skills will help you succeed in this role
• Strong analytical and quantitative mindset; ability to take ownership and improve on existing risk models and methodologies.
• Confidence: a self-assured, experienced and knowledgeable individual able to quickly garner support for his/her views based on informed, well-presented direction or analysis, with a willingness to negotiate, and concede, when needed.
• Communicator: clear, confident, self-assured communication style, coupled with an ability to react and adapt to various audiences and environments without diluting effectiveness.
Education & Preferred Qualifications
• Master or PHD degree in a quantitative disciplines (e.g. Statistics, Mathematics, Financial Engineering or equivalents).
• 4+ years of working experience in quantitative analytics, including model development or independent model validation, in a financial service institution, fintech or consulting firm.
• Proven knowledge of pricing models, e.g., Black-Scholes models, binomial and trinomial trees, risk neutral valuation framework and Algorithmic Trading models.
• Knowledge of financial markets (security lending, equities and derivatives, FX or electronic trading, etc.) is a plus •
• Some understanding of various regulations such as Basel, stress testing and CCAR
• Proven communication skills in English.
• Advanced programming skills in at least one supported statistical programming environment (Python, R, or MATLAB), with intermediate programming skills in VBA and other languages
• Java experience is preferred
Additional requirements
• Ability to take initiative and meet deadlines.
• Finance and/or risk management certificates like CFA and FRM are preferred but not required.
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