Senior Quantitative Analyst

Position: Senior Quantitative Analyst (US)
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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 general audience.
* 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, generally aligned to specific transactions and products
* Performs statistical model assumptions' tests for soundness of model theory
* Hands on coding and building of quantitative models
* Reviews model results and identifies unexpected results
* May develop specialized analytical tools for projects or ongoing use
* May develop conclusions and courses of action to rectify discrepancies as well as analyses
* Develops and analyzes key metric and plan variances and related information
* Develops analyses of performance and predictive data
* Compiles and generates ad-hoc analytical reports
* May lead additional research efforts, applying expertise in statistical analysis and modeling
* Explores the best practice modeling techniques for model enhancement
* 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
* Independently handles all but the most complex and unusual issues
* 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
* 3+ years relevant experience, In-depth knowledge of quantitative models and statistical analysis
* Ability to effectively interpret, select appropriate techniques, take independent action, communicate, and follow-through
* Strong communications skills, both written and verbal
* Strong interpersonal and consultative communication skills with well-developed presentation skills
* Ability to manage competing priorities effectively, making good decisions based on business priorities and objectives
* Practical knowledge of financial analysis techniques and methodologies
* Ability to employ complex analytical tools and statistics to perform analysis and forecasting of financial and other business information
* Proficiently use Microsoft Office tools to prepare and present analysis results to the audience
* Advanced skills in SAS and SQL
* Advanced level in statistical analysis and modeling tools
* Ability to exercise sound judgment in making…