1 день назад
Applied Data Scientist (Fintech)
190 000 - 200 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Applied Data Scientist (Fintech): Developing and maintaining credit risk, repayment, and predictive models for a digital banking platform with an accent on transaction-level feature engineering, production ML deployment, and credit decisioning. Focus on analyzing model drift, forecasting income and repayment behavior, and building explainable financial ML systems.
Location: New York City; hybrid, with office attendance at least three days per week on Tuesdays, Wednesdays, and Thursdays
Salary: $190,000–$200,000 annual base salary, plus equity, benefits, and additional perks
Company
provides an embedded digital banking and earned-wage access platform integrated with scheduling, workforce management, and payroll applications.
What you will do
- Develop and maintain credit risk, repayment, underwriting, and decision models.
- Design predictive features from transaction-level data to model income flows, spending, and repayment behavior.
- Deploy, monitor, and optimize production ML models using AWS and Snowflake ML Platform.
- Prototype new modeling methodologies and present findings to stakeholders.
- Investigate credit performance, model drift, and unexpected repayment behavior.
- Partner with product, risk, and engineering teams to improve products and credit strategies.
Requirements
- 5+ years of professional experience in data science and machine learning.
- End-to-end experience leading data science projects from research and model development through deployment and monitoring.
- Experience building and productionizing credit or risk assessment models.
- Strong Python, SQL, and modern ML library skills, including tools such as TensorFlow, PyTorch, or XGBoost.
- Experience working with large transactional and time-series datasets.
- Strong communication and cross-functional collaboration skills in a fast-paced production environment.
Nice to have
- Fintech or credit risk modeling experience.
- Experience with AWS, Azure, Snowflake ML Platform, or other cloud-based ML environments.
- Knowledge of model explainability techniques and financial modeling compliance requirements.
- Experience with time-series forecasting, trend detection, and temporal feature engineering.
Culture & Benefits
- Medical, dental, and vision coverage with the option to extend coverage to family members.
- Fully paid parental leave.
- Company-sponsored 401(k), HSA, and FSA.
- Unlimited vacation for salaried roles.
- Work-from-home setup allowance and company-sponsored short- and long-term disability insurance.
- Access to earnings every day through .
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