Lead Data Scientist
Not Disclosed•ContractorOn-site
location_onUnorganized Borough, United States
About the Role
We are seeking a Lead Quantitative Analytics / Data Scientist to join our team in McLean, VA, on an on-site basis for a 6-month contract extension with the potential for long-term engagement. This role is critical for advancing our mortgage product strategies, focusing on the development and enhancement of valuation processes and risk metrics for our retained portfolio.
In this position, you will operate with a high degree of independence, determining and developing approaches to complex solutions under limited direction. Your work will directly support trading and hedging activities by conducting sensitivity analyses and impact assessments for model updates. You will be responsible for establishing robust model governance, including preparing comprehensive documentation and performing thorough validation tests, as well as developing ongoing performance monitoring and threshold methodologies.
Keys to Success
To thrive in this role, you will need exceptional quantitative, empirical analysis, and research skills, with a strong knowledge of survival analysis and mortgage valuation. Success also depends on advanced programming capabilities in big data analytics, specifically utilizing tools like Apache Spark and AWS cloud computing, alongside proficiency in languages such as Python, R, or SAS.
Personal Competencies
We value candidates who demonstrate a strong drive for execution, the ability to build trust and partnerships within the team, and the leadership skills necessary to set and execute upon a clear vision. Effective communication and interpersonal skills are essential for collaborating across the organization.
Application Process
Interested candidates should contact hirings@openkyber.com for applications and inquiries. The interview process begins with an in-person first-round interview.
Work location
Work model: On-site
Unorganized Borough, United States
Key Responsibilities
- check_circleProvide analytics support for trading and hedging activities
- check_circlePrepare model documentation and perform thorough model validation tests
- check_circleConduct sensitivity analysis and impact assessments for model updates
- check_circleDevelop and enhance valuation processes and risk metrics for mortgage portfolios
- check_circleIndependently determine and develop approaches to quantitative solutions
- check_circleDevelop ongoing performance monitoring and threshold methodologies
Requirements
- verified10+ years experience with modelling
- verified3-5 years experience in model testing and development
- verifiedMaster's degree required (Doctorate preferred)
- verifiedDoctorate plus 3 years experience OR Master's plus 5 years experience in statistics, data science, or related quantitative field
- verified5+ years experience applying predictive modeling or data analytics to large datasets
- verifiedProgramming skills in Python, R, SAS, or related languages
- verifiedExperience with large data sets and relational databases
- verifiedKnowledge of survival analysis and mortgage valuation
- verifiedKnowledge of big data analytics such as Apache Spark and AWS cloud computing
Nice to Have
Doctorate degree. Experience applying predictive modeling techniques or data analytics to large datasets. Experience in statistical model development and implementation. Knowledge of big data analytics such as Apache Spark and AWS cloud computing.
Similar Job Opportunities
Skills, education and keywords
Skills: Python, R, Sas, Apache Spark, Aws, Survival Analysis, Mortgage Valuation, Statistical Modeling, Predictive Modeling, Data Analytics.
Education: Master's degree required in a quantitative field; Doctorate degree preferred in a quantitative field.
Frequently asked questions about Lead Data Scientist at Openkyber
What does a Lead Data Scientist at Openkyber do?expand_more
A Lead Data Scientist at Openkyber is responsible for the following: Provide analytics support for trading and hedging activities; Prepare model documentation and perform thorough model validation tests; Conduct sensitivity analysis and impact assessments for model updates; and Develop and enhance valuation processes and risk metrics for mortgage portfolios.
What are the requirements for this Lead Data Scientist role?expand_more
To qualify for the Lead Data Scientist at Openkyber position, applicants should have: 10+ years experience with modelling; 3-5 years experience in model testing and development; Master's degree required (Doctorate preferred); Doctorate plus 3 years experience OR Master's plus 5 years experience in statistics, data science, or related quantitative field; 5+ years experience applying predictive modeling or data analytics to large datasets; and Programming skills in Python, R, SAS, or related languages.
Where is the Lead Data Scientist role at Openkyber located?expand_more
Lead Data Scientist at Openkyber is based in Unorganized Borough, United States. This is a on-site role.
Is this Lead Data Scientist job remote, hybrid, or on-site?expand_more
Openkyber has listed this Lead Data Scientist role as on-site.
How much experience is required for this Lead Data Scientist role?expand_more
Lead Data Scientist at Openkyber typically requires 10+ years of relevant experience at the lead level.
What skills do you need for the Lead Data Scientist role at Openkyber?expand_more
Key skills for Lead Data Scientist at Openkyber include Python; R; Sas; Apache Spark; Aws; Survival Analysis; Mortgage Valuation; and Statistical Modeling.
What education is required for Lead Data Scientist at Openkyber?expand_more
Educational requirements for this role: Master's degree required in a quantitative field; and Doctorate degree preferred in a quantitative field.
What category does the Lead Data Scientist role belong to?expand_more
Lead Data Scientist at Openkyber is part of the it job category on Recrutus.