Head of Fraud

AtoB • San Francisco, CA

102d

About The Position

Our Risk team sits at the core of decision-making at AtoB ensuring that our business is profitable while minimizing the impact bad actors have on our platform. You will be responsible for developing data-driven strategies to help our business be successful by owning end-to-end work streams such as fraud or loss mitigation. In this role, you’ll have daily exposure to most of the company on a daily basis, working with different departments such as Engineering, Business Operations, Support, and Sales. Additionally, you will be the first hire in our India Risk team and serve as the team leader and will work remotely to start but transition to in-office when your team is hired. This is an exciting opportunity to build out a team from scratch and you will have a player/coach role – delivering important work both as an individual contributor while also managing new team members as they are hired. This team will own key business verticals so you will be expected to guide the team from both a technical and a non-technical perspective as they set roadmaps and make strategic decisions. This is a great opportunity for anyone who wants to play a vital role in the success of a fast-growing upside fintech startup while also building a new team from the ground up.

Requirements

• 5-10 years of experience in a data science role, preferably within risk and/or financial services.
• 1-3 years of people management or team lead experience.
• A bachelor's degree in Technology, Engineering, Statistics, Mathematics, or Economics from Tier-I & II colleges.
• Ability to conduct experiments to guide data-driven decisions.
• Strong business intuition and ability to set and execute on roadmaps across different domains within risk.
• Advanced proficiency in data science tools (SQL, Python, etc.).
• Previous experience working with North American companies, preferably in the financial services and/or tech startup space.
• Excitement about working at a fast-growing tech startup with undefined problems that are full of ambiguity and white space.
• Robust understanding of fraud patterns and understanding of fraud mitigation techniques.

Responsibilities

• Conducting experiments and data analyses as part of end-to-end ownership of multiple business-critical Risk workstreams.
• Hiring and mentoring a team of junior data scientists and business operations analysts.
• Setting the vision and building the roadmap for multiple business verticals.
• Owning data pipelines, infrastructure, and internal tooling that are used by the entire company.
• Making complicated data structures more accessible for use by less technical members of the team.
• Identifying and implementing new alternative data sources that will allow for better decision-making.
• Develop and implement model validation processes in compliance with regulatory standards.
• Evaluate alternative data sources to improve risk and underwriting.

What This Job Offers

• Education Level: Bachelor's degree
• Number of Employees: 101-250 employees