Data Scientist, Bond
Connecting digital financial brands to end users
Open for applications
Connecting digital financial brands to end users
21-100 employees
Open for applications
21-100 employees
Company mission
To give brands and banks the ability to work together safely at scale so they can serve their customers like never before.
Role
Who you are
- 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
What the job involves
- 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
- 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
Our take
Customers are demanding more personalized banking experiences, creating a real and substantial new market opportunity for companies, who, with the right product, will be able to net customers defecting from the older practices of legacy institutions. Bond’s platform AI-powered fintech infrastructure platform answers this strong, growing, and lucrative demand.
The company helps enterprises offer embedded and personalized banking products that do not fall foul of increasingly complex regulations. Through this, it acts as a stepping stone between banks and brands. Bond overcomes the difficulty of executing this service at scale, especially when companies lack the correct expertise in both tech and financial regulation.
With strong veteran experience in fintech, banking, and enterprise-grade tech, plus significant funding injections (including an acquisition by FIS), the Bond team seem well-positioned to capitalize on this new appetite for embedded banking services.
Kirsty
Company Specialist
Insights
Company
Funding (2 rounds)
Jul 2020
$32m
SERIES A
Aug 2019
$10m
SEED
Total funding: $42m
Company benefits
- Generous compensation
- Paid time off
- Full healthcare coverage
- 401(k) plan
- 16-week parental leave
- Home office stipend
Company values
- Raise the bar
- Put customers first
- Demand transparency
- Drive with passion
- Question even assumption
- Debate quickly and commit
Company HQ
Financial District, San Francisco, CA
Articles
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