Data Engineer (Fintech)

TL;DR

Data Engineer (Fintech): Building and optimizing data-driven solutions for internal audit and risk management with an accent on ETL processes, data modeling, and automated analytical tools. Focus on developing production-ready tools to enhance audit efficiency and providing deep insights into the firm's control environment.

Location: Onsite in New York, NY, United States

Salary: USD 100,000 - 250,000

Company

A global investment banking and financial services firm focusing on independent assessment of internal control structures and risk management.

What you will do

• Perform data modeling, data engineering, and data governance activities, including maintenance of entitlements.
• Develop requirements for audit projects to facilitate sample selection and identify control gaps.
• Build production-ready analytical tools using Tableau, Spotfire, or QlikView to automate repeatable processes.
• Execute ETL processes to extract, transform, and upload structured and unstructured data.
• Write data analysis code using Python, Java, or Slang to implement automation techniques.
• Partner with audit teams to identify risks and facilitate strategic data sourcing solutions.

Requirements

• Must be based in New York, NY.
• 8+ years of experience with a Bachelor's degree in Computer Science, Math, or Statistics.
• Strong proficiency in RDBMS and SQL.
• Hands-on experience with ETL processes and data governance.
• Proficiency in programming languages such as Python, Java, or C++.
• Knowledge of basic statistics, including time series analysis, correlation, and regression.

Nice to have

• Experience with NLP and text analytics using Python.
• Familiarity with machine learning algorithms (SVM, Random Forest, Boosting, Clustering).
• Experience with statistical programs such as SAS, SPSS, or R.
• Proficiency with visualization tools like Tableau, Spotfire, or QlikView.

Culture & Benefits

• Opportunity to work within the third line of defense in a high-stakes financial environment.
• Collaboration with a diverse global team of developers, risk professionals, and data scientists.
• Impactful role supporting the Audit Committee and Board of Directors.