Data Science Manager, Fraud (Remote) | Career Opportunities | Brex
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Data Science Manager, Fraud (Remote)

Data Science Manager, Fraud (Remote)

About Brex

Brex is revolutionizing financial services for businesses, starting with corporate cards for startups. We are building the product from first principles, enabling us to have unparalleled features and a seamless, modern experience for our customers. With backing from top venture firms and industry veterans such as Peter Thiel and Max Levchin, Brex is one of the fastest-growing startups to date, and we’re looking for someone to help scale the company with incredible people across the board.

Based in San Francisco, our team is committed to creating a driven and diverse company with ambitious people from wide-ranging backgrounds. We are looking for people with a strong sense for exceptional products, a keen eye to detail, and comfort learning new technologies. Most importantly, we’re looking for people who are enthusiastic working with a variety of backgrounds, roles, and needs.

The Role 

As the Data Science Manager on the FinCrime team, you will be working with some of the industry’s brightest minds to build state of art fraud prevention systems. You will fight battles for our customers behind the scenes providing a safe environment for everyone.

Responsibilities 

  • Drive and execute on work in fraud and anti-money laundering at Brex.
  • Build and promote a strong data-informed culture throughout the company.
  • Work cross-functionally to ship models from inception to production.
  • Devise highly efficient, human-in-the-loop systems using machine learning and in-house tooling
  • Recruit great data scientists from varying backgrounds like analytics, risk and product.
  • Empower the team to achieve a high level of technical productivity, reliability and simplicity.

Requirements

  • 5+ years of experience as Data Scientist or Machine Learning Engineer and 3+ years of experience leading successful data science teams. 
  • History of delivering high impact projects with stringent product requirements
  • Experience working in a high-growth environment, recruiting extraordinary people from different backgrounds.
  • Deep sense of ownership of an entire problem-space, from modeling to processes and tooling.
  • Ability to flourish with an increased level of autonomy and responsibility.
  • Excellent communication and effective teamwork with engineers, product managers, business stakeholders and finance teams.
  • Pride in working on projects to successful completion, involving a wide variety of technologies, systems and modeling techniques.
  • Holding yourself and others to a high bar when working with production systems.
  • Thriving in a collaborative environment, filled with a diverse group of people with different expertise and backgrounds

 

See Life @ Brex->
Open an account

Careers

Data Science Manager, Fraud (Remote)

Data Science Manager, Fraud (Remote)

About Brex

Brex is revolutionizing financial services for businesses, starting with corporate cards for startups. We are building the product from first principles, enabling us to have unparalleled features and a seamless, modern experience for our customers. With backing from top venture firms and industry veterans such as Peter Thiel and Max Levchin, Brex is one of the fastest-growing startups to date, and we’re looking for someone to help scale the company with incredible people across the board.

Based in San Francisco, our team is committed to creating a driven and diverse company with ambitious people from wide-ranging backgrounds. We are looking for people with a strong sense for exceptional products, a keen eye to detail, and comfort learning new technologies. Most importantly, we’re looking for people who are enthusiastic working with a variety of backgrounds, roles, and needs.

The Role 

As the Data Science Manager on the FinCrime team, you will be working with some of the industry’s brightest minds to build state of art fraud prevention systems. You will fight battles for our customers behind the scenes providing a safe environment for everyone.

Responsibilities 

  • Drive and execute on work in fraud and anti-money laundering at Brex.
  • Build and promote a strong data-informed culture throughout the company.
  • Work cross-functionally to ship models from inception to production.
  • Devise highly efficient, human-in-the-loop systems using machine learning and in-house tooling
  • Recruit great data scientists from varying backgrounds like analytics, risk and product.
  • Empower the team to achieve a high level of technical productivity, reliability and simplicity.

Requirements

  • 5+ years of experience as Data Scientist or Machine Learning Engineer and 3+ years of experience leading successful data science teams. 
  • History of delivering high impact projects with stringent product requirements
  • Experience working in a high-growth environment, recruiting extraordinary people from different backgrounds.
  • Deep sense of ownership of an entire problem-space, from modeling to processes and tooling.
  • Ability to flourish with an increased level of autonomy and responsibility.
  • Excellent communication and effective teamwork with engineers, product managers, business stakeholders and finance teams.
  • Pride in working on projects to successful completion, involving a wide variety of technologies, systems and modeling techniques.
  • Holding yourself and others to a high bar when working with production systems.
  • Thriving in a collaborative environment, filled with a diverse group of people with different expertise and backgrounds

 

See Life @ Brex->

Careers

Data Science Manager, Fraud (Remote)

Data Science Manager, Fraud (Remote)

About Brex

Brex is revolutionizing financial services for businesses, starting with corporate cards for startups. We are building the product from first principles, enabling us to have unparalleled features and a seamless, modern experience for our customers. With backing from top venture firms and industry veterans such as Peter Thiel and Max Levchin, Brex is one of the fastest-growing startups to date, and we’re looking for someone to help scale the company with incredible people across the board.

Based in San Francisco, our team is committed to creating a driven and diverse company with ambitious people from wide-ranging backgrounds. We are looking for people with a strong sense for exceptional products, a keen eye to detail, and comfort learning new technologies. Most importantly, we’re looking for people who are enthusiastic working with a variety of backgrounds, roles, and needs.

The Role 

As the Data Science Manager on the FinCrime team, you will be working with some of the industry’s brightest minds to build state of art fraud prevention systems. You will fight battles for our customers behind the scenes providing a safe environment for everyone.

Responsibilities 

  • Drive and execute on work in fraud and anti-money laundering at Brex.
  • Build and promote a strong data-informed culture throughout the company.
  • Work cross-functionally to ship models from inception to production.
  • Devise highly efficient, human-in-the-loop systems using machine learning and in-house tooling
  • Recruit great data scientists from varying backgrounds like analytics, risk and product.
  • Empower the team to achieve a high level of technical productivity, reliability and simplicity.

Requirements

  • 5+ years of experience as Data Scientist or Machine Learning Engineer and 3+ years of experience leading successful data science teams. 
  • History of delivering high impact projects with stringent product requirements
  • Experience working in a high-growth environment, recruiting extraordinary people from different backgrounds.
  • Deep sense of ownership of an entire problem-space, from modeling to processes and tooling.
  • Ability to flourish with an increased level of autonomy and responsibility.
  • Excellent communication and effective teamwork with engineers, product managers, business stakeholders and finance teams.
  • Pride in working on projects to successful completion, involving a wide variety of technologies, systems and modeling techniques.
  • Holding yourself and others to a high bar when working with production systems.
  • Thriving in a collaborative environment, filled with a diverse group of people with different expertise and backgrounds

 

See Life @ Brex->