[Remote] Model Risk Data Scientist

Note: The job is a remote job and is open to candidates in USA. SentiLink provides innovative identity and risk solutions, empowering institutions and individuals to transact with confidence. The Model Risk Data Scientist will build foundational processes for generating model performance metrics and act as a point of contact for Strategic Financial Partners, managing their model governance needs. Responsibilities • Build out our foundational processes for generating and surfacing model performance metrics, including crafting + calculating the metrics and building python rails • Act as point of contact for Strategic Financial Partners and manage their model governance needs. Regularly conduct performance and exploratory analyses to establish the quality of model outcomes • Providing guidance on the appropriate use of our products, respond to inquiries around model development procedures and generate stability analyses • Create automation to detect inconsistencies or issues with the production models that power our fraud detection products, such as data driven gap analysis to automation via anomaly detection or training challenger models to identify weaknesses • Primarily work with a Python ecosystem, using SQL, SageMaker, S3, Metabase and Git to support Skills • Bachelor's, Master's, or PhD in Data Science, Statistics, Computer Science, or a related field • 3 years of work experience in a related technical field, or 5-7 years relevant applied academic experience • Proven experience in data analysis, modeling, and performance evaluation • Strong proficiency in Python, and specifically data analysis libraries (Pandas, Numpy), Data Visualization (Python matplotlib Plots, Excel Plots / BI tools), and SQL • Ability to interpret and communicate complex data insights to both technical and business audiences • Exceptional problem-solving and analytical skills with a focus on actionable results • Interest in developing deep domain expertise for model risk analysis and model governance work • Ability to thrive in a fast paced environment characterized by the need to solve extremely varied, high impact, open ended problems • Candidates must be legally authorized to work in the United States and must live in the United States • Proven experience in assessing the quality, stability, performance and behavior of production grade ML models, ideally from the perspective of model governance, fair lending or economic risk is highly preferred • Familiarity with fraud detection preferred • Experience with GitHub Benefits • Employer paid group health insurance for you and your dependents • 401(k) plan with employer match (or equivalent for non US-based roles) • Flexible paid time off • Regular company-wide in-person events • Home office stipend, and more! Company Overview • SentiLink is an identity verification technology company that helps in detecting and blocking synthetic identities. It was founded in 2017, and is headquartered in San Francisco, California, USA, with a workforce of 51-200 employees. Its website is Apply tot his job