Quantitative Analytics Specialist; US- Model Development

Position: Quantitative Analytics Specialist (US)- Model Development
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* Graduate degree in quantitative discipline (e.g., Statistics, Economics, Mathematics, Engineering, or related field).
* Extensive experience in developing quantitative models. PPNR modeling experience for stress testing is plus.
* Strong hands-on expertise with SAS, Python, and/or R.
* Deep knowledge in banking business and familiar with the banking industry data.
* Proven ability to communicate complex technical concepts to business partners, senior leadership, and regulators.
* Proven experience working effectively in cross functional environments, collaborating across business, risk, technology, and compliance teams.
* Provides financial, analytical, modeling expertise to build quantitative models for business projects
* Conducts complex quantitative analysis as it applies to areas of responsibility, such as a specific model or portfolio
* In-depth understanding of the whole function and/or key business areas supported
* Performs statistical model assumptions' tests for soundness of model theory
* Hands on modeling in the entire life cycle
* Leads activities of unit, assigning, prioritizing and monitoring work
* Reviews model results and identifies unexpected results
* Provides training and mentoring for new and less experienced staff
* Resolves escalated issues and problems by conferring with staff
* Provides financial, analytical, planning, and forecasting expertise to assist in the development and completion of projects
* Develops specialized analytical tools for projects or ongoing use
* May manage the development of conclusions and courses of action to rectify discrepancies as well as analyses to be presented to management for aid in decision-making processes
* May lead additional research efforts, applying expertise in statistical analysis and modeling.
* Explores best practice modeling techniques for model enhancement
* Develops and maintains strong business relationships with business line management
* Highly seasoned professional role requiring substantial knowledge / expertise in a complex field and knowledge of broader related areas
* Integrates knowledge of the enterprise sub-function’s or business line’s overarching strategy in developing solutions across multiple functions or operations
* Interprets internal/external business challenges and the industry environment, recommends course of action and best practices to improve products, processes or services
* Acts as a technical expert / lead integrating cross-function understanding within their own field of specialty; may manage team(s) of related specialists
* Leads cross-functional teams or projects with significant resource requirements, risk and / or complexity
* Independently manages end-to-end functional programs
* Solves or may lead others to solve complex problems; leads efforts or partners with others to develop new solutions
* Uses sophisticated analytical thought to exercise judgement and identify solutions
* Impacts the achievement of sub-function or business line objectives within the area they are accountable for
* Work is guided by policies and industry standards/methods
* Communicates difficult concepts; converts information to compelling business context and advice; influences and gains alignment across increasingly senior stakeholders
* Works autonomously as the lead and guides others within area of expertise
* Undergraduate degree required, advanced technical degree preferred (e.g., math, physics, engineering, finance or computer science) Graduate's degree preferred with either progressive project work experience or
* 5+ years relevant experience, In-depth knowledge of quantitative models and statistical analysis
* Proven interpersonal and consultative communication skills with well-developed presentation skills
* Ability to successfully plan, develop, lead, and execute projects
* Ability to effectively interpret, select appropriate techniques, take independent action, communicate, and follow-through
* Proven ability to manage competing priorities effectively, making good decisions based on business priorities and objectives
* Comprehensive practical knowledge of quantitative forecasting models, financial analysis…