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Data Science - Advisor / SME

Hybrid in Reston, VA, US • Posted 18 hours ago • Updated 18 hours ago

Contract Corp To Corp

Contract W2

50% Travel Required

On-site

Depends on Experience

Fitment

Dice Job Match Score™

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Job Details

Skills

Multifamily CECL
DFAST/forecasting processes
Product development
deployment
coding
debugging
Python
R
SQL

Summary

Job Title : Data Science - Advisor / SME

Location : 3 days onsite / week 1100 15th Street Northwest VA USA 20190

Duration : 6 Months Contract to start

Description:

The Finance - Data Science - Advisor role will offer you the flexibility to make each day your own, while working alongside people who care so that you can deliver on the following responsibilities:
Use advanced mathematical, analytical, or econometric tools to create algorithms and analyses that will be used to support the Multifamily CECL and DFAST/forecasting processes within the Finance organization.
Research and evaluate model results and perform credit-related analyses for both expected and stress scenarios including CECL/DFAST.
Coordinate team activities with product and/or business owners, data engineers, and platform teams to understand business needs and current capabilities, data availability, and alternative uses to drive success of parts of projects, programs, or products.
Ensure application of statistical modeling capabilities from disciplines, such as computer science, computational science and methods, statistics, econometrics, data optimization, and data visualization.
Build predictive analytic capabilities within the team to enhance the delivery of business applications, and support the integration of data and statistical models or algorithms.
Apply innovative industry practices in research and testing to product development, deployment, and maintenance.
Oversee the design and build of new modeling applications to support risk measurement, financial valuation, decision making, and business performance for parts of products or initiatives.
Ensure the team communicates complex ideas and solutions effectively to business partners through data visualizations, technical documentation, and non-technical presentation materials.

Minimum Required Experiences
Total 10 years and 6 years in Data Science
Desired Experiences
Bachelor degree or equivalent
A Master's degree or equivalent in Data Science, Applied Economics, Statistics, or other similar graduate studies

Familiarity with advanced techniques including machine learning and natural language processing (NLP)
Prior quantitative and finance training, including forecasting/stress testing (DFAST) knowledge.
Ability to direct and evaluate the more technical aspects of data analysis and research, while also managing team in a timely manner to focus on the broader context and key impacts of the analysis
Ability to build and maintain strong business relationships with partners
Strong written and verbal communication skills
Relationship management including managing and engaging stakeholders, partners, customers, and building relationship networks
Strong analytical and problem-solving skills to conduct and manage analysis to address complex business problems
Programming including coding, debugging, and using relevant languages such as Python, R, SQL, or similar
Experience in the process of analyzing data to identify trends or relationships to generate business insights and inform conclusions about the data
Expertise in visualizing data to identify, summarize and explain observed data patterns

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10115505
Position Id: 9059806
Posted 18 hours ago

Contact the job poster

Manmeet Singh

Recruiter @ Technology Ventures

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