We believe the future of money is integrated and personal. Bond’s mission is to accelerate the pace of financial innovation and access to capital. Our enterprise-grade financial technology platform streamlines the integration between brands and banks, dramatically reducing friction and creating a more repeatable model. Through our AI-powered infrastructure, Bond enables digital brands to better engage their customers by offering personalized and compliant banking products.

Bond’s is seeking a Data Science Lead, Product Data Science team to focus on using analytics and data science techniques to increase the utility of Bond’s platform for our customers. You will be the subject matter expert for our customers, provide insights into customers’ portfolio partnership, translating ideas back to product to drive adoption, value creation, and revenue generation.

You will:

• Lead measurement and insights for Bond’s bank partners to better understand their business and drive growth for our partners.
• Translate improvements in feedback from partners and yourself into product features.
• Define, measure and interpret metrics across the entire platform to better understand the health of Bond’s platform.
• Partner with engineering to ensure proper instrumentation exists and definitions are readily available.
• Work on a broad range of topics to efficiently measure and improve effectiveness for banks, partners, Bond’s web, mobile, and platform experiences.
• Work cross-functionally with business stakeholders, product, and engineering to implement insights into buildable products.
• Participate actively as a statistical / quantitative voice within the company.
• Eventually build and grow a team of data gurus focused on product, marketing, risk, and business analytics.

You will have:

• 10+ years of experience in data science and analytics in financial services
• Domain expertise in product, marketing, underwriting and/or member lifecycle
• Experience in managing customers and/or internal stakeholders
• Incredible communication capability - able to reduce complex data driven insights into key takeaways and drive for consensus
• Expert knowledge of SQL, python, R
• Familiarity with Tableau, Looker, PowerBI or other data visualization tools
• Ability to work in a dynamic, cross-functional environment, with a strong attention to detail
• BS in engineering, mathematics, science or equivalent

You may also have:

• M.B.A. or Master’s or Ph.D. in Computer Science, Statistics, Operations Research, Engineering, Mathematics or a related quantitative field
• Experience at a financial technology or a consulting company focused in financial services.
• Machine learning, model development and deployment experience
• Cloud based model development frameworks such as agemaker, Snowflake, Redshift, Postgres
• Experience in job schedules or ETL technology

At Bond, we value leadership and believe everyone is a leader. We look for people who operate like owners, who loves to learn, have grit, and operate with integrity and empathy. You're encouraged to apply even if your experience doesn't precisely match the job description. Your skills and passion will stand out — and set you apart. We welcome diverse perspectives and people who are not afraid to challenge assumptions.

Bond is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, gender, gender identity, parental or pregnancy status, national origin, sexual orientation, age, citizenship, marital status, disability, or Veteran status.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.