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Alternative Data Jobs in California (NOW HIRING)

SoFi

Credit Strategy Manager

San Francisco, CA · On-site

Data Driven... Your deep analysis will power the future of lending with an optimal real-time data ecosystem - including multi-product internal, bureau, third-party, and alternative data sources and ...

SoFi

Senior Credit Manager

San Francisco, CA · On-site

Data Driven... Your deep analysis will power the future of lending with an optimal real-time data ecosystem - including multi-product internal, bureau, third-party, and alternative data sources and ...

Jobsbridge

Data Architect

San Jose, CA

$74.75 - $96/hr

Research, analyze and define technical problems and recommend alternative solutions. Ability to understand, model, and portray the big data picture, spanning multiple applications. Ability to define ...

SoFi

Senior Credit Manager

San Francisco, CA · On-site

Data Driven... Your deep analysis will power the future of lending with an optimal real-time data ecosystem - including multi-product internal, bureau, third-party, and alternative data sources and ...

SoFi

Credit Strategy Manager

San Francisco, CA · On-site

Data Driven... Your deep analysis will power the future of lending with an optimal real-time data ecosystem - including multi-product internal, bureau, third-party, and alternative data sources and ...

Eleven Recruiting

Data Engineer II

Long Beach, CA · On-site

$125K - $150K/yr

... or alternatives (Airflow, Prefect, Dagster). • Strong programming skills in Python and SQL. • Experience with version control systems (Git). • Understanding of data modeling concepts ...

California Coast Credit Union

Data Architect

San Diego, CA · On-site

$131 - $164/hr

If you are unable to complete this application due to a disability, contact this employer to ask for an accommodation or an alternative application process. Data Architect Full Time San Diego, CA, US ...

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Alternative Data information

What is an alternative data?

An Alternative Data job involves collecting, analyzing, and interpreting non-traditional data sources—such as satellite imagery, web traffic, or transaction data—to generate insights for financial, investment, or business decisions. Professionals in this field work with data engineering, machine learning, and statistical analysis to derive actionable intelligence. These roles are common in hedge funds, private equity firms, and large corporations looking for a competitive edge through unconventional data sources. Skills required typically include programming (Python, SQL), data wrangling, and domain expertise in finance or technology.

What types of projects or data sources do professionals in alternative data roles typically work with?

Professionals in Alternative Data roles often engage with non-traditional datasets such as satellite imagery, social media trends, credit card transaction records, web scraping data, and sensor or geolocation information to uncover actionable insights. Projects may involve evaluating consumer behavior, forecasting economic activity, or identifying trends that standard financial data might miss. The work frequently requires collaborating with data engineers, analysts, and business strategists to source, clean, and interpret large, unstructured datasets. If you enjoy tackling complex data-driven problems and uncovering new patterns to gain a competitive edge, this is a highly dynamic and impactful role.

What are the key skills and qualifications needed to thrive in the alternative data position, and why are they important?

To thrive in an Alternative Data role, you need strong analytical skills, experience with data collection and processing, and a background in quantitative disciplines such as finance, statistics, or computer science. Proficiency in programming languages like Python or R, familiarity with data visualization tools, and experience working with big data platforms are essential, with certifications in data analysis or finance being advantageous. Excellent communication, problem-solving abilities, and intellectual curiosity help professionals excel at explaining complex findings and creating actionable insights for stakeholders. These combined abilities are vital for extracting value from unconventional datasets and driving informed business decisions.

What are popular job titles related to Alternative Data jobs in California?

For Alternative Data jobs in California, the most frequently searched job titles are:

What job categories do people searching Alternative Data jobs in California look for?

The top searched job categories for Alternative Data jobs in California are:

What cities in California are hiring for Alternative Data jobs?

Cities in California with the most Alternative Data job openings:

Alternative Data jobs near you
Infographic showing various Alternative Data job openings in California as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 15% Part Time, and 5% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution.

Credit Strategy Manager

SoFi

San Francisco, CA • On-site

Full-time

Re-posted 29 days ago

Job description

SoFi's Credit team manages credit risk activities for our lending products (Student Loan Refinance, Private Student Loan, Personal Loan, Credit Card, and Mortgage) - including credit strategies/policies for new account origination and portfolio management, collections/recovery strategies and operations, and risk and operational data science and analytics. The team designs data-driven strategies to ensure the growth in lending is consistent with the company's risk appetite and helps create the products and experiences that put our members' interests first.

The Credit Strategy Lead will work in the Credit team and have responsibilities to analyze and evaluate data to develop and propose value-added credit risk strategies and models for SoFi's lending products, including Personal Loan, Student Loan Refinance, Private Student Loan, and Credit Card.

The Credit Strategy Lead will collaborate with cross-functional teams such as Business Units, Capital Markets, Product and Engineering, and use business knowledge and quantitative and analytical skills to drive revenue, control risk, and provide value to the company and consumers.

The ideal candidate will possess a data-driven analytics background and the strategic acumen to direct a function that draws strategic insights from data using database and statistical analysis tools to inform decisions and support SoFi's overarching strategic goals relative to loss prevention and profit optimization. They bring new ways of thinking, data sources, technologies, and capabilities to SoFi.

What you'll do:

  • Innovate... Bring your brightest ideas to building risk strategies. This means you will architect the pre-screen and underwriting strategies.
  • Data Driven... Your deep analysis will power the future of lending with an optimal real-time data ecosystem - including multi-product internal, bureau, third-party, and alternative data sources and uses.
  • Iterate, learn, innovate... We are all responsible for innovation and must embrace data-driven decisions.
  • Control the Risk and Drive Performance Outcomes ... Understand credit risk and develop approaches to mitigate loss and responsibly grow revenue. Monitor the performance of strategies and portfolios. Document and communicate results and escalate issues as necessary. Identify gaps/opportunities and drive actions.
  • Grow, Grow, Grow!... Be inspired by dynamic leaders and our rapidly growing business. We want YOU to be an inspired leader of tomorrow, so we are recruiting the best, brightest, and passionately quantitative team members.

What you'll need:

  • 4+ years of related experience
  • Business acumen and work experience in the consumer lending business (loans or credit cards)
  • Direct experience in the credit strategy analytical life cycle, including strategy and decision tree development, presentation, implementation validation, and post-implementation monitoring
  • Proven analytical skills in conducting sophisticated analysis using customer performance data, bureau attributes, and other 3rd party variables to solve business problems
  • Proficient skills in Excel, SQL and Python
  • A demonstrated ability to synthesize and communicate analysis to business partners and senior management
  • High motivation to drive results, eager to learn, and able to work collaboratively in a fluid environment
  • Knowledge/skills in analytical and modeling techniques such as Decision Trees, regression, logistic regression, A/B Testing, and Tableau
  • Preferred: 4+ years of consumer lending credit strategy work experience
  • Preferred: Experience in analyzing and testing credit strategies or models to meet the fair lending requirements
  • Preferred: Advanced degree (Master's or PhD) with a quantitative major such as Statistics, Mathematics, Engineering, or Computer Science

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