SoFi

SoFi

SoFi specializes in providing a comprehensive financial platform that empowers individuals to achieve their financial goals through services such as student loan refinancing, debt consolidation, home buying assistance, and investment opportunities, all...

Capital Markets
1K-5K
Founded 2011
$2900M raised

Description

  • Develop, implement, and continuously improve machine learning and statistical models for credit, risk, and operational use cases.
  • Support underwriting, portfolio management, loss mitigation, and loss forecasting decisions with data science solutions.
  • Present model performance, findings, and insights to Credit, Risk, and Business Unit leaders.
  • Identify opportunities to apply advanced modeling approaches to complex business problems.
  • Explore and leverage internal and external data sources to improve model predictive power.
  • Work with Model Risk Management to ensure models meet governance and rigor requirements.
  • Monitor model performance through dashboards and KPI tracking.
  • Collaborate with Product and Engineering on model development, deployment, monitoring, and recalibration or rebuild processes.
  • Apply in-house and open-source machine learning and statistical tools and algorithms to improve models.

Requirements

  • Master’s degree in Statistics, Econometrics, Mathematics, Operations Research, Physics, Computer Science, Engineering, or another quantitative field required; PhD preferred.
  • 2+ years of relevant experience building and implementing machine learning and statistical models.
  • Strong logic, reasoning, and communication skills for translating business requirements into data solutions.
  • Strong SQL and Python skills for creating complex attributes and working with large datasets.
  • Strong attention to data quality and ability to investigate anomalies and uncover patterns.
  • Strong knowledge of databases and related tools/languages such as SQL, NoSQL, and Hive.
  • Experience building efficient, reliable pipelines with large datasets stored in SageMaker and Snowflake.
  • Experience automating data extraction, processing, feature selection, model training, model monitoring, and documentation workflows.
  • Strong knowledge of supervised and unsupervised machine learning methods, including regression, classification, clustering, outlier detection, decision trees, nearest neighbors, SVMs, ensemble methods, boosting, neural networks, and deep learning.
  • Strong programming skills in Python and machine learning libraries such as sklearn, lightgbm, xgboost, pytorch, tensorflow, and keras.
  • Experience in a lending organization (preferred).
  • Experience with model documentation and effective verbal and written communication (preferred).
  • Experience working closely with Product, Engineering, and Model Risk Management teams (preferred).
  • Experience with AWS or GCP (preferred).

Benefits

  • Base pay range is provided for the role, with final offer based on experience, skills, and location.
  • Access to SoFi’s comprehensive and competitive benefits package.
  • Reasonable accommodations available for candidates with physical or mental disabilities during the application or interview process.
  • Equal employment opportunity and an inclusive hiring culture.
  • Consideration for qualified applicants with arrest and conviction records under the San Francisco Fair Chance Ordinance.
  • Remote work is not accommodated from Hawaii or Alaska at this time.

Interested in this position?

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