SoFi

About SoFi

Your all-in-one personal finance platform

🏢 Tech, Finance, Investment Banking👥 1001+ employees📅 Founded 2011📍 The East Cut, San Francisco, CA💰 $2.7b4
B2CBankingPersonal financeLendingInvestingMobile

Key Highlights

  • Raised $2.7 billion in funding to date
  • Headquartered in The East Cut, San Francisco, CA
  • Offers a wide range of products including loans, mortgages, and investments
  • Over 1,000 employees with a focus on global expansion

SoFi, headquartered in The East Cut, San Francisco, CA, is a leading provider of mobile and online personal finance services. With over 1,000 employees, SoFi offers a comprehensive suite of products including bank accounts, loans, mortgages, and investment opportunities. The company has raised $2.7 ...

🎁 Benefits

SoFi provides a range of benefits including flexible time off, paid parental leave, and a monthly contribution of up to $200 towards student loan repa...

🌟 Culture

SoFi's culture is centered around financial empowerment, aiming to provide a one-stop solution for all personal finance needs. The company's focus on ...

Skills & Technologies

Overview

SoFi is hiring a Staff Data Scientist to join their Loss Forecasting and Portfolio Analytics Team. You'll develop quantitative and machine learning models to forecast losses across various lending products. This role requires strong data analytics skills and experience with Python.

Job Description

Who you are

You have a strong background in data analytics and modeling, particularly using Python and machine learning techniques. With experience in forecasting and risk analytics, you understand the intricacies of credit risk management and can effectively communicate insights to various stakeholders. You possess excellent problem-solving skills and are adept at collaborating with cross-functional teams to drive impactful results. Your analytical mindset allows you to dissect complex data sets and derive actionable insights that contribute to the overall success of the organization.

Desirable

Experience in the financial services industry is a plus, as is familiarity with loss forecasting methodologies. You are comfortable working with large datasets and have a keen interest in understanding the drivers of credit risk. A background in quantitative analysis or statistics will further enhance your ability to succeed in this role.

What you'll do

As a Staff Data Scientist at SoFi, you will be responsible for developing and implementing quantitative models that forecast losses across various lending products, including personal loans and student loans. You will analyze performance metrics and provide insights that inform business decisions and strategies. Collaborating closely with the Business Unit, Finance, Accounting, and Credit teams, you will ensure that your analyses align with organizational goals and regulatory requirements. Your role will involve utilizing advanced machine learning techniques to enhance the accuracy of loss predictions and improve risk assessment processes.

You will also be tasked with presenting your findings to stakeholders, translating complex data into understandable insights that drive action. Your contributions will play a crucial role in shaping SoFi's approach to credit risk management and portfolio analytics. You will stay updated on industry trends and best practices, continuously seeking ways to improve existing models and methodologies.

What we offer

At SoFi, you will be part of a dynamic team that is dedicated to transforming the financial services landscape. We offer competitive compensation and benefits, along with opportunities for professional growth and development. You will work in a collaborative environment that values innovation and encourages you to invest in your career. Join us in shaping a brighter financial future for our members and making a meaningful impact in their lives.

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