Milliman is seeking a Data Scientist major to join our Milliman M-PIRe team to build data-driven tools that provide insight to clients investing in the mortgage market. M-PIRe is an industry leading Software as a Service tool that deploys advanced proprietary models and machine learning algorithms to develop unique insights into mortgage investment opportunities. The Data Scientist will maintain and develop the algorithms as well as interpret the information along with the current data science team to continue the development of industry leading tools.
Milliman is one of the leading experts in evaluating mortgage collateral for government agencies, mortgage lenders, insurers, reinsurers, and investors. Our consulting work is supported by a powerful toolkit of data analytics solutions informed by years of in depth work in the mortgage industry.
The Data Scientist will support and/or lead initiatives primarily related to empirical model development, monitoring, maintenance, documentation, and governance of the suite of models underlying M-PIRe. Specific areas of focus may include but are not limited to the modeling of: mortgage prepayments, mortgage interest rates, mortgage delinquencies and foreclosures, mortgage production and margins, as well as credit risk transfer valuations including stochastic valuation modeling. Methodologies and algorithms currently used include logistic regression, XGBoost, and linear regression. Additional algorithms should be researched and evaluated as part of the role. The Data Scientist will be responsible for designing and developing high quality modeling solutions from simple data analysis to deploying complex statistical techniques.
The Data Scientist must be adept at managing competing priorities, advancing multiple projects concurrently, working with project managers, and mentoring more junior team members.
Experience: Requires 3 to 5 years of advanced data science work
Completion of Bachelor's or Master's Degree in Data Science with concentration in math, statistics, finance, economics, computer science or related field
Experience executing all phases of modeling projects: identifying the potential business problem, data exploration, form hypothesis and recommendations, post implementation monitoring
Interdisciplinary knowledge including finance, mathematics, statistics, and programming
Understanding of principles and mathematics behind predictive and stochastic modeling
Proficiency in data query and statistical tools/languages such as SAS, R, Python, SQL, or similar
Experience with object oriented programming languages such as C# preferred
Experience working closely with full stack .NET engineers in an Agile product development environment preferred
Statistical and machine learning methods
Competencies that support success in the role:
Strong communication skills (both verbal and written)
Ability to help identify client issues and resources needed to solve problems
Analytical thinking skills to evaluate analyses for communication to clients
Ability to help plan and organize work for projects
Ability to teach and check work of less experienced staff
Can complete project deliverables, meet deadlines, and ensure compliance with quality procedures
Strong time management skills
Ability to work independently and within a team
Client focused and results oriented
Organizational expertise and flexibility
Ambition and excitement for professional development
Location: This position will be based out of the Milliman office in Brookfield, WI. Applicants must be willing to work onsite in the Milliman office.
Travel expenses for applicants and/or relocation expenses for applicant offered the position will not be paid by Milliman
Salary: The salary for this position is commensurate with experience and skills.
Sponsorship: Applicants must be presently authorized to work in the United States. Milliman will not sponsor applicants for this position for the following work visas/statuses: F-1 STEM OPT, H-1B, J-1, TN, O-1, L-1, or E-1/2.