Advanced skills in SQL programming, with experience in writing complex queries and stored procedures.
Experience in understanding data pipelines in and out of data warehouse and data lake application.
Hands-on experience with data model, database table design and writing complex SQL queries.
Proven understanding of Agile, CI/CD, Dev/Ops practices and tools
Experience with any BI tools such as Power Business Intelligence or Tableau is a plus.
Preferred knowledge in fixed income products like government securities and mortgage-backed securities.
Familiar with banking, financial institutions, financial instruments, and capital markets.
Knowledge in quantitative finance on valuation models (curve building methodologies, term structure models, option models, credit models), and risk management models and methodologies.
Experience on VaR modeling and stress test and back test model methodologies.
Experience in managing financial risk within the financial technological industry.
Proven experience in collaborating with cross-functional teams on projects; ability of working in a fast-paced, sophisticated environment.
High Level of digital literacy, ability to work efficiently with Excel (VBA), SQL, and or Python
Excellent written and verbal communication and presentation skills, ability to communicate quantitative concepts to financial professionals.