Data Scientist

Founded in 2019, Bond’s mission is to accelerate the pace of financial innovation and access to capital.  Bond is now part of Fortune 500 financial technology company FIS (NYSE:FIS). 

It’s challenging for most businesses to build and offer engaging financial services products to their customers. Whether that’s launching a new credit or debit card, a savings account, a lending business, or anything else — there are technical and operational barriers in the way. 

Bond is a modern embedded finance platform that enables businesses to build, launch, iterate and scale financial services offerings easily and compliantly. We make integrations to the myriad, often-antiquated financial vendors and financial institutions more streamlined and intuitive. And, we make regulatory compliance not only achievable, but accessible through our platform and services. We enable innovative brands and businesses to better engage their customers with embedded financial solutions tailored to their customers’ needs.

At Bond, we value leadership and believe everyone is a leader. We look for people who operate like owners, who love 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 looking for a Data Scientist to join our Data team. In this role, you will play a crucial role generating insightful reports, and supporting finance and operations teams with data-driven decision-making. You will be responsible for creating and managing data pipelines for settlement and reconciliation with our banks, performing analysis across all of the company’s services, and undertaking various other data-related tasks to drive operational efficiency and optimize financial processes.

You will

• Design, develop, and maintain efficient ETL processes to extract, transform, and load financial data from multiple sources, ensuring accurate settlement and reconciliation with our partner banks
• Generate meaningful and actionable reports by analyzing financial data and key performance indicators (KPIs), providing insights to stakeholders across the organization. Identify trends, anomalies, and opportunities for process improvement
• Identify opportunities to streamline data-related processes, enhance data quality, and improve efficiency in financial operations. Propose and implement innovative solutions and best practices
• Collaborate with cross-functional teams, including finance, operations, and engineering, to understand their data needs, provide analytical support, and contribute to data-driven decision-making

You have

• Bachelor’s degree in Finance, Business Analytics, Statistics, Economics, or a related field. A master’s degree is a plus
• Proven work experience as a Data Analyst, Financial Analyst, or a similar role within the finance or operations domain
• Strong knowledge of SQL for data extraction, manipulation, and analysis. Experience with ETL processes and tools is highly desirable
• Advanced Excel skills, including pivot tables, formulas, and macros
• Familiarity with statistical analysis, forecasting techniques, and data modeling
• Excellent analytical and problem-solving abilities with a keen eye for detail
• Strong communication skills, with the ability to present complex data insights in a clear and concise manner
• Experience working with financial systems, banking processes, and reconciliations is a plus
• Ability to work independently and collaboratively in a fast-paced, dynamic environment

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.