Data Engineer II, Capital Markets/ Marketplace Lending

Company:  Cross River Bank
Location: Fort Lee
Closing Date: 04/11/2024
Salary: £100 - £125 Per Annum
Hours: Full Time
Type: Permanent
Job Requirements / Description

Who We Are

Cross River is a highly profitable, fast-growing financial technology company powering the future of financial services. Our comprehensive suite of innovative and scalable embedded payments, cards, and lending products deliver financial services for millions of businesses and consumers around the globe. Cross River is backed by leading investors and serves the world’s most essential fintech and technology companies. Together with its partners, Cross River is reshaping global finance and financial inclusion.

We are on a mission to build the infrastructure that propels access, inclusion, and the democratization of financial services. While our company has tripled in size over the last three years, our strong sense of purpose led Cross River to be named to American Banker’s list of Best Places to Work in Fintech for the last 6 years. The reason for this success is simple – our nimble and collaborative family culture lives in every member of our growing team. Together we are at the forefront of technology and innovation, and we invite passionate, collaborative, and motivated high performers to join our expanding team.

What We're Looking For

We are seeking a skilled Data Engineer with a strong background in capital markets and investment banking to join our dynamic team. The ideal candidate will have a minimum of 5 years of experience in data engineering, with a proven track record of working with large datasets and analytical tools. This role will focus on building and maintaining data pipelines, ensuring data integrity, and supporting data analysis initiatives to drive decision-making in our capital markets/investment banking operation.

Responsibilities:

  • Design, develop, and maintain scalable data pipelines to support capital markets operations and analytics.
  • Create and optimize SQL Statements, Procedures and Functions.
  • Collaborate with analysts and stakeholders to understand data requirements and translate them into technical specifications.
  • Implement data integration processes to streamline data flow from various sources into data warehouses.
  • Ensure data quality and consistency through rigorous testing and validation processes.
  • Utilize Tableau to create interactive dashboards and reports that provide business insights to stakeholders.
  • Monitor and optimize data workflows for performance and reliability.
  • Stay up-to-date with industry trends and best practices in data engineering and capital markets.
  • A successful candidate will have hands-on experience in a multitude of domains; including, but not limited to database design, data warehousing, business intelligence, big data, database tuning, application optimization, security, virtual computing and storage, incident tracking.
  • Document procedures for all tools/processes you create.

Qualifications:

  • Knowledge of financial instruments and investment banking processes.
  • At least 5 years of experience in data engineering, within capital markets, marketplace lending or investment banking.
  • Strong proficiency in SQL and experience with data modeling and ETL processes.
  • Knowledge of data warehousing concepts and experience with tools such as AWS and Azure.
  • Hands-on experience with Tableau for data visualization and reporting.
  • Familiarity with programming languages such as Python.
  • Excellent analytical and problem-solving skills, with the ability to work independently and as part of a team.
  • Strong communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.
  • Knowledge of software development best practices.
  • BSc degree in Computer Science, Information Systems, Finance or relevant field.
  • Relevant certifications (e.g., AWS Certified Data Analytics, Tableau Certification).

Salary Range: $90,000.00 - $120,000.00

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Cross River Bank
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