Senior Manager, Data Science
Your Opportunity
Your opportunity
At Schwab, you are empowered to make an impact on your career. Here, innovative thought meets creative problem solving, helping us “challenge the status quo” and transform the finance industry together.
The Behavioral AI/ML Analytics (BAMA) team is looking for a dynamic, self-motivated data scientist at the Senior Manager level. The BAMA team leverages predictive modeling and data science expertise to deliver new tools and capabilities that enhance Schwab’s ability to fight financial crime. BAMA supports fraud prevention and anti-money laundering programs within Financial Risk Management (FRM) by building and maintaining predictive models and developing other advanced analytics solutions that solve problems and provide meaningful business value. There’s no shortage of problems to solve, which allows BAMA numerous opportunities to make an impact.
As a Senior Manager, Data Scientist you will play a key role in helping to identify and understand FRM business needs, establishing yourself as a strategic, long-term partner and not just a modeling service. You’ll work collaboratively with internal and external partners to develop modeling solutions supporting high value initiatives. The data scientist in the short term will be developing models within the fraud space but the focus of their work will change over time to include both transaction channel specific and behavioral modeling. The Sr. Manager, Data Scientist has a solid quantitative background, strong business acumen, an eagerness to learn and teach in a team setting, and a passion for solving meaningful problems. The individual should be tech-savvy and familiar with the best practices related to the development of advanced quantitative models.
This is an individual contributor role.
What you have
Required Qualifications:
- M.S. in a quantitative field.
- 5+ years of experience in analytics, data science or related role.
- Advanced proficiency in SQL and Python.
Preferred Qualifications:
- Demonstrated ability to independently and collaboratively complete end-to-end data science projects solving real-world business problems.
- A proactive approach in identifying where data science solutions can provide value.
- Experience in data science and machine learning in fraud risk, payments or financial services domain.
- Solid communication skills with ability to translate mathematical and statistical concepts into easily understood language.
- Curiosity and enthusiasm to learn new tools and techniques.
- Proficiency in applied AI and Machine Learning.
- Familiarity with GCP.
What’s in it for you
At Schwab, we’re committed to empowering our employees’ personal and professional success. Our purpose-driven, supportive culture, and focus on your development means you’ll get the tools you need to make a positive difference in the finance industry. Our Hybrid Work and Flexibility approach balances our ongoing commitment to workplace flexibility, serving our clients, and our strong belief in the value of being together in person on a regular basis.
We offer a competitive benefits package that takes care of the whole you – both today and in the future:
- 401(k) with company match and Employee stock purchase plan
- Paid time for vacation, volunteering, and 28-day sabbatical after every 5 years of service for eligible positions
- Paid parental leave and family building benefits
- Tuition reimbursement
- Health, dental, and vision insurance
What you are good at
What you have
Required Qualifications:
- M.S. in a quantitative field.
- 5+ years of experience in analytics, data science or related role.
- Advanced proficiency in SQL and Python.
Preferred Qualifications:
- Demonstrated ability to independently and collaboratively complete end-to-end data science projects solving real-world business problems.
- A proactive approach in identifying where data science solutions can provide value.
- Experience in data science and machine learning in fraud risk, payments or financial services domain.
- Solid communication skills with ability to translate mathematical and statistical concepts into easily understood language.
- Curiosity and enthusiasm to learn new tools and techniques.
- Proficiency in applied AI and Machine Learning.
- Familiarity with GCP.
Why Schwab?
At Schwab, “Own Your Tomorrow” embodies everything we do! We are committed to helping our employees unleash their potential and achieve their dreams. Our employees get to play a central role in disrupting a multi-trillion-dollar industry, creating a better, more modern way to build and manage wealth. We’re a modern financial services firm that stands apart from the industry, where you can go as far as your ambition takes you.
Hear from employees: What’s it like to work at Schwab!
The benefits of working at Schwab : a package designed to empower your health, wealth, career and life. Schwab is committed to building a diverse and inclusive workplace where everyone feels valued.
As an equal employment opportunity employer, our policy is to provide equal employment opportunities to all employees and applicants without regard to any status that is protected by law. (Please click here to see policy.)
Schwab is also an affirmative action employer, focused on advancing women, minorities, veterans, and individuals with disabilities in the workplace. We believe diversity and inclusion are part of our success as a company and our purpose of serving every client with passion and integrity.