Skip to main content

Lead Data Scientist - Regulatory Reporting & Data Testing

Posted today

SENIORITY

Manager

Apply (opens in a new tab)

About the role

Overview: In this role you will perform advanced analytics to generate actionable insights that improve business outcomes and reduce risk, while guiding business partners on leveraging analytics. You will lead and mentor junior data scientists, drive end-to-end data science solutions, and collaborate across cross-functional teams to raise the organization’s analytical maturity. The position emphasizes risk-aware design and data governance, with a focus on delivering measurable business value and shaping analytics strategy. Compensation / Benefits medical dental vision life insurance 401k vacation and sick days
Responsibilities: Perform sophisticated data analytics on structured and unstructured data to identify actionable insights that improve outcomes or reduce risk Own end-to-end data science solution design, delivery, and measurable business impact Provide analytical consulting and thought leadership to business units and foster strong partnerships Co-design optimal analytics solutions to solve complex problems and create business value Manage analytics initiatives, mentor juniors, and collaborate with cross-functional teams Adopt new analytical capabilities and advance in-house solutions toward industry benchmarks Promote risk management in design, development, and deployment, coordinating data governance and usage rules Mentor and guide junior teammates to create an inclusive, growth-focused environment Drive team standards and take a lead role in hiring, onboarding, and coaching new teammates
Key requirements: Bachelor’s degree in a quantitative field or equivalent education and training Six years of related experience Demonstrated domain expertise in banking/fintech/financial regulation with progressive responsibility In-depth knowledge of statistics, programming (Python, R, SAS, etc.), ML, model development, and data visualization Working knowledge of Hadoop, Pig, Hive, and/or NoSQL, Spark Experience in managing multiple projects with tight deadlines and/or leading teams communication leadership mentoring Python R SAS

Before you apply

Applying takes about a minute. These four things decide how fast it moves after that.

Your profile is current

It's what we read first. Occupations, seniority and locations matter more than a long history.

Two examples you can talk through

Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.

A number in mind

What you're on now and what would make you move. We negotiate better when we know both.

Your notice period

Employers plan around it, and it's the question that stalls offers most often.

Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.

More like this