Sr. Quantitative Analyst

Company Name:
All In Analytics
Senior Quantitative Analyst
Location: NJ, SC, ME
Salary: 83-115K depending on location and experience
Relocation: Yes

Job Description
The Sr. Quantitative Analyst provides the quantitative analysis and builds the advanced quantitative models to meet DFAST
and CCAR requirement. In addition, the Quantitative Analyst provides highly specialized quantitative analytical and
modeling support at the assigned line(s) of business.
Job Requirements
Scope Provides financial, analytical, modeling expertise to build quantitative models for DFAST and CCAR 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 lifecycle.
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.
4-7 years modeling experience required
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
Familiar with regulator's model documentation requirement for CCAR and DFAST
Advanced skills in SAS and SQL
Advanced level in statistical analysis and modeling tools

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