Principal Analyst - Boston, United States - Lprs

Lprs Boston, United States

3 weeks ago

Description

Our growing company is searching for experienced candidates for the position of principal Analyst. We appreciate you taking the time to review the list of qualifications and to apply for the position. If you don't fill all of the qualifications, you may still be considered depending on your level of experience.
Responsibilities
Communicating validation work to management, model owners, regulators, and auditors
Act as key data lead to leverage versatile technical capabilities to drive the development, evolution, and implementation of data products, which enable self-service by data consumers
Act as key data lead to leverage versatile technical capabilities to drive the development, evolution, and implementation of data products, that which enable self-service by data consumers
Contributing to model validation projects, in an analytic capacity
Candidate will be responsible for the review of new investment account applications to ensure compliance with Financial Industry Regulatory Authority (FINRA) rules and regulations, and the firm's policies and procedures
Candidate will be responsible for participating in the updates of departmental policies and procedures, ensuring all internal and regulatory audits are compliant
Serve as the primary person for developing reports in claims processing and provide data analysis for the business and technical teams
Work closely with IS to manage system issues and change requests, identifying the best technical and business solutions to implement
Support enhancement of the SAP global template (with a shared services center) the deployment of the template to additional Operational Units

Develop and maintain key data related artifacts, models and solutions that support the company goals of delivering quality, accurate and timely data to business users.

Qualifications

A bachelor degree in mathematics, statistics, economics, data science, computer science, or engineering field is required with at least 24 semester hours in mathematical, statistical, engineering and/or quantitative analysis courses.

2-3 years of experience in applied model development and implementation

Demonstrated experience with DoD Acquisition and defense department data sources (e.g., cost and software data reporting in both legacy formats and Flex files, earned value management), and hands-on experience and proficiency with computer programming such as R or Python are required.

Experience with time series modeling
Experience and knowledge of VBA
Experience with documentation for model validation or regulatory review

At least seven (7) years of relevant experience utilizing statistics, data science, or machine learning with at least five (5) years in a cost estimating environment.

A professional certification in cost analysis from DAWIA or ICEAA is preferred.

If acting as a function point counter, a function point certification such as the International Function Point Users Group (IFPUG) Certified Function Point Specialist (CFPS), or equivalent, is required.

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