Senior Data Scientist, Risk & Compliance

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Senior Data Scientist, Risk & Compliance

Empleado de tiempo completo

Habilidades y experiencia requeridas

+5 años de experiencia
Statistical Models
Debe tener interés aunque no experiencia
Verbal communication
Problem solving
Statistical analysis
Data science
Data analysis

Nombre(s) de la(s) empresa(s)

Ubicación

Zona horaria

Salario

USD$94,000 to 162,000 /año
(Estimado por Torre La compensación mostrada no ha sido verificada por la organización. Es un estimado de Torre basado en los requerimientos de la publicación. )

Salario

USD$94,000 - 162,000 /año
(Estimado por Torre La compensación mostrada no ha sido verificada por la organización. Es un estimado de Torre basado en los requerimientos de la publicación. )

Por qué existe esta oportunidad

• We are seeking a talented Senior Data Scientist with experience in lending to join our Risk & Compliance Team. In this role you will be responsible for performing sophisticated data analytics and building statistical models to support both our insurance and lending verticals.

Responsabilidades

• Manage and mine large data sets of proprietary and third-party data to draw insights and recommendations for policy and strategy decisions • Develop predictive models to optimize various functions across the organization including underwriting, credit decisioning, recovery, and collections • Engineer new features and determine feature importance • Assist in deploying these models to production environments by working closely with our product and engineering teams • Develop processes and tools to monitor and analyze model performance and data accuracy • Research and evaluate new data vendors and make recommendations • Champion data analytics and help advance our culture of data-driven decision-making

Requerimientos adicionales (que no sean habilidades)

• Bachelor's degree in Mathematics, Statistics, Econometrics, Operation Research, Industrial Engineering, Computer Science, or relevant fields is required; advanced degree is preferred • 5+ years of experience extracting, cleaning, manipulating datasets and building statistical models • Experience applying unsupervised and supervised machine learning algorithms: clustering, decision trees, regression, etc. and understand their real-world advantages/drawbacks • Experience in a high growth, fintech environment is a plus • Demonstrated ability to collaborate cross-functionally and communicate with stakeholders across the organization

Idioma(s) requeridos

Inglés - fully-fluent

Desafíos

• You will be responsible for developing, documenting, and supporting the deployment of these models alongside our product and engineering teams. You will leverage analytics and data science to drive optimal decision-making across the entire customer risk management lifecycle from underwriting and credit decisioning to operations, portfolio management and collections.

Acerca de la organización(es)

• Jetty is a financial services company on a mission to make renting a home more affordable and effortless for everyone. Founded in 2015, and inspired by real renter experiences, Jetty now has a nationwide footprint of renters and real estate partners. Focusing on the move-in moment, Jetty's products save renters thousands of dollars, while helping property managers increase occupancy and protection. • Jetty has raised $43.5M from Khosla Ventures, Ribbit Capital, and Valar, and has growing teams working remotely around the country.

Detalles adicionales

• Health, dental, and vision insurance through Aetna & MetLife • 401(k) through Betterment • Optional life and disability coverage, HSA & FSA • 20 days of PTO + 12 holidays, “Jetty Winter Break," and unlimited sick days • Generous parental leave policy • Flexible work schedules to accommodate remote work • Remote work stipend • Childcare stipend

Beneficios adicionales

• Health insurance

Tipo de acuerdo

Empleado

Publicado febrero 22, 2021 06:18 PM

Diana Vargas
Diana Vargas
Administradora de empresas
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