The Fay Group originated in 2008, is a full-scale real estate services company that offers mortgage servicing, property renovations, business purpose lending, insurance, and more to homeowners, investors, and clients nationwide. Fay handles a wide range of mortgage loan solutions for prospective homeowners with varying credit histories and also offers to refinance for existing mortgages.
Reporting to the SVP, Data Science, this position supports the data science team in developing and implementing statistical models that use machine learning, time-series analysis, Monte-Carlo simulations, and reinforcement learning techniques. The position will assist in analyzing large datasets to uncover patterns, trends, and insights to inform decision-making across the organization.
This role is responsible for data mining, predictive modeling, and statistical analysis to help solve complex business problems and improve operational efficiencies. Additionally, the Data Science Analyst collaborates with internal departments and stakeholders to ensure data science and analytics initiatives are integrated with other business processes.
What you will do for Fay:
Assist in the collection, cleaning, and preprocessing of datasets
Conduct basic to intermediate statistical analysis and data mining
Create initial drafts of data visualizations and dashboards
Contribute to data science projects by performing tasks such as data gathering, feature engineering, and initial model prototyping
Support the development of predictive models and machine learning algorithms
Partner with Senior Data Science Analyst to ensure project deliverables are met
Maintain documentation of data processes, models, and findings
Communicate effectively with technical and non-technical stakeholders, including senior management, to ensure that data science and analytics insights are understood and acted upon
Collaborate with other departments to ensure that data science and analytics initiatives are integrated with other business processes
Assist the data science team in preparing presentations and reports for stakeholders
Develop domain knowledge of Fay's business to include an understanding of organizational objectives
Maintain broad influence through ongoing development of relationships across the organization
Ensure compliance with Fay's policies, processes, and practices. Successfully complete all department and company-required training
Model Fay's Values, Operating Principles, ethical standards, professionalism and code of conduct
Perform other duties and responsibilities as assigned
What you will bring to Fay:
Bachelor's degree in Computer Science, Statistics, Mathematics, or related field required
2+ years' experience in data analysis, research, or related field required
A basic understanding of machine learning concepts and algorithms required
Strong working knowledge of relevant programming languages, tools, and technologies (e.g., Python, R, Hadoop, Spark, etc.) required
Certifications in data science or analytics preferred
Experience in the financial services or mortgage industry preferred
Ability to analyze and interpret data to identify opportunities and propose solutions
Strong analytical skills coupled with sound judgment
Strong problem-solving skills; ability to develop creative solutions to complex business problems.
Strong communication and collaboration skills; ability to work effectively with technical and non-technical stakeholders
Strong verbal and written communication skills
Strong project management skills
Strong attention to detail; strong compliance orientation; high quality of work product
Ability to prioritize; effective time management
Strong interpersonal skills
Collaborative work style; high team-orientation
Open to change; agile; high learning agility
Self-directed; ability to proactively ask questions and surface issues/ concerns
Professional maturity, integrity, ability to maintain confidential data and information
Strong business acumen; strong fiscal and technical aptitude
Strong skills in MS Word, Excel, and PowerPoint
Equity and Inclusion are embedded into our way of working at Fay. We believe that the best ideas come from having a team that is diverse in backgrounds, experiences, and perspectives. We strive to ensure each of our employees feels valued, respected, and included and is presented with equal opportunities to be successful here at Fay. We are proud to be an equal opportunity workplace. The Fay Group and affiliated companies participate in E-Verify. For more information go to www.dhs.gov/E-Verify. E-Verify is a registered trademark of the U.S. Department of Homeland Security.