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JobsSoFi

Fraud Model Developer

SoFi

Fraud Model Developer

SoFi

CA - San Francisco

·

On-site

·

Full-time

·

1w ago

Required Skills

SQL

Python

R

Statistical Analysis

A/B Testing

Data Visualization

Quantitative Analysis

Employee Applicant Privacy Notice

Who we are:

Shape a brighter financial future with us.

Together with our members, we’re changing the way people think about and interact with personal finance.

We’re a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we’re at the forefront. We’re proud to come to work every day knowing that what we do has a direct impact on people’s lives, with our core values guiding us every step of the way. Join us to invest in yourself, your career, and the financial world.

The role

We are seeking a Manager, Data Science to join our Lending Business Insights and Data Science team. This leader will partner closely with So Fi’s Product, Engineering, and Finance teams

to optimize our application funnels through experimentation, understand product usage across member segments, and enable data driven strategic decision making. The ideal candidate is both forward-thinking and hands-on, has a strong sense of ownership and drive for delivery, and is a good mentor and co-worker. We pride ourselves on a philosophy of continuous learning, and you should likewise be committed to furthering growth and providing mentorship for your team members.

What You'll Do

  • Build and lead a great data science team to deliver the best consumer financial products on the market

  • Apply your expertise in quantitative analysis, data science, and the presentation of data to see beyond the numbers and understand how our users interact with our products or So Fi Platforms

  • Partner with Business, Product, Engineering, and Finance teams to solve problems and identify trends and opportunities

  • Inform, influence, support, and execute our product decisions

  • Build/maintain reports, dashboards, and metrics to monitor the performance of our products

  • Manage the development of data marts, gather requirements, organize sources, and support product launches while keeping the team accountable and impactful

What you’ll need:

  • Bachelor’s Degree in Computer Science, Math, Physics, Engineering, or related quantitative field.

  • 2+ years of experience in managing other team members in a formal or informal capacity

  • 5+ years of experience doing quantitative analysis at a technology company, consulting, investment banking, or product management including experience with SQL or other programming languages

  • 5+ years of experience with applied statistics or experimentation (i.e. A/B testing) in an industry setting

  • Experience initiating and drive projects to completion with minimal guidance

  • Experience communicating and representing results of analysis to senior leadership

  • Understanding of statistical analysis, experience with packages, such as Python, R

  • Experience with cloud-based platforms, such as AWS, Snowflake

  • Experience with building data visualizations with Tableau, Looker or other BI tools

Compensation and Benefits

The base pay range for this role is listed below. Final base pay offer will be determined based on individual factors such as the candidate’s experience, skills, and location.

To view all of our comprehensive and competitive benefits, visit our Benefits at So Fi page!
So Fi provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion (including religious dress and grooming practices), sex (including pregnancy, childbirth and related medical conditions, breastfeeding, and conditions related to breastfeeding), gender, gender identity, gender expression, national origin, ancestry, age (40 or over), physical or medical disability, medical condition, marital status, registered domestic partner status, sexual orientation, genetic information, military and/or veteran status, or any other basis prohibited by applicable state or federal law.
The Company hires the best qualified candidate for the job, without regard to protected characteristics.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
New York applicants: Notice of Employee Rights
So Fi is committed to an inclusive culture. As part of this commitment, So Fi offers reasonable accommodations to candidates with physical or mental disabilities. If you need accommodations to participate in the job application or interview process, please let your recruiter know or email accommodations@sofi.com.
Due to insurance coverage issues, we are unable to accommodate remote work from Hawaii or Alaska at this time.

Internal Employees

If you are a current employee, do not apply here - please navigate to our Internal Job Board in Greenhouse to apply to our open roles.

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About SoFi

SoFi

SoFi

Public

SoFi Technologies, Inc. is an American financial technology company. Founded in 2011 by Stanford University students, it operates as a nationally chartered online bank and is a technology provider to other financial institutions. SoFi is the largest U.S.

1,001-5,000

Employees

San Francisco

Headquarters

Reviews

3.3

25 reviews

Work Life Balance

3.2

Compensation

4.1

Culture

3.4

Career

3.6

Management

3.3

65%

Recommend to a Friend

Pros

Great benefits and compensation

Understanding and caring management

Remote work flexibility

Cons

Long hours and high workload stress

Poor communication between departments

Bureaucratic processes and red tape

Salary Ranges

6 data points

Junior/L3

Principal/L7

Senior/L5

Staff/L6

Junior/L3 · Baseline Data Scientist

0 reports

$206,850

total / year

Base

-

Stock

-

Bonus

-

$175,823

$237,878

Interview Experience

6 interviews

Difficulty

2.7

/ 5

Duration

14-28 weeks

Offer Rate

33%

Experience

Positive 33%

Neutral 50%

Negative 17%

Interview Process

1

Application Review

2

Online Assessment

3

Recruiter Screen

4

Technical Interview

5

Behavioral Interview

6

Onsite/Virtual Interviews

7

Offer

Common Questions

Coding/Algorithm

Technical Knowledge

Behavioral/STAR

System Design

Culture Fit