Quantitative Analytics Specialist (US)- Model Development

TD•Mount Laurel Township, NJ

22h•$91,000 - $121,160

About The Position

The Quantitative Analytics Specialist provides the quantitative analysis and builds the advanced quantitative models to meet business requirements. In addition, the Quantitative Analyst provides highly specialized quantitative analytical and modeling support at the assigned line(s) of business and Lead the development and enhancement of advanced quantitative models to enable efficient pricing and risk management of business products. Provide analysis through in-depth understanding of the models, markets and business to help drive business results, strategy and decision making.

Requirements

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 techniques and methodologies
Demonstrated knowledge of financial analysis and planning software applications
Proven 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
Ability to exercise sound judgment in making decisions
Ability to analyze complex information and develop plans to address identified issues
Demonstrated skills in conflict resolution, strong intuitive judgment and negotiation/influencing skills, flexibility and adaptability to changing priorities in a fast-paced environment, along with a strong consultative approach
Skill in collecting, organizing and analyzing complex or technical data
Skill in using logic and reasoning to identify the strengths and weaknesses of alternative situations, conclusions or approaches to problems
Skill in active learning by understanding the implications of new information for both current and future problem solving and decision making
Skill in identifying complex problems and reviewing related information to develop and evaluate options and implement solutions
Skill in decision making by considering relative costs and benefits of potential actions and choosing the most appropriate option
Ability to determine which issues to escalate versus to resolve independently, and provide suggestions for possible resolution
Ability to combine pieces of information to form general rules or conclusions (includes finding a relationship among seemingly unrelated events)
Ability to evaluate documents for accuracy and legal conformance
Ability to anticipate and diffuse problems before they occur
Ability to conduct short-range and long-range business planning
Ability to develop objectives, evaluate effectiveness and assess needs
Ability to recognize, analyze and solve a variety of problems
Ability to identify problems, evaluate alternatives and implement effective solutions
Ability to implement new systems and procedures and to evaluate their effectiveness
Ability to problem solve a variety of situations
Ability to contribute to strategic direction of the function and provide advice to senior leadership
Ability to think strategically and possess strong business acumen
Advanced skills in SAS and SQL
Advanced level in statistical analysis and modeling tools

Nice To Haves

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.

Responsibilities

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
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