What are the responsibilities and job description for the Junior Data Engineer position at Federal Home Loan Bank Of New York?
Job Details
The Junior Data Engineer will build robust data processing capabilities - databases, data pipelines and ETL processes for balance sheet modeling, risk analytics and optimization. The core tools are Python, SQL and Snowflake
Essential Job Function:
Data Infrastructure Development:
Design and build reliable and efficient processes for the loading, transformation, and storage of complex financial data from various sources.
Utilize SQL, Python, and Snowflake for data handling and management.
Build processes for data verification and take responsibility for ensuring data quality.
Collaborate with colleagues in employing the data to enable the development of Balance Sheet modeling and analytics tools which will promote data-driven decision-making across the Bank.
Financial Concepts Understanding:
Over time, the Junior Data Engineer will develop an understanding of financial concepts associated with the analysis of bond, swap and option instruments (e.g. pricing, risk exposures, market dynamics), and use such knowledge to inform the construction of data processes and analytical tools relevant to Balance Sheet management.
Collaboration:
Work closely with the Data Management Office, Financial Risk Management, I.T. and business teams in developing and launching in production multiple analytical tools.
Skills:
Must be skilled in Python programming with meaningful experience using Python in data processing tasks. Such experience may be derived from either professional or educational settings. Familiarity with object-oriented programming concepts is required
Proficiency in building SQL queries for data processing is required, with some exposure to database design principles. Must be able to create database tables, build robust processes to update them, and guide colleagues on using them for data extraction. Exposure to cloud-based data platforms (e.g. Snowflake) and ETL software tools would also be helpful.
Capability to analyze complex sets of data and provide actionable insights.
Excellent communication skills for effective cross-team collaboration.
Education:
Bachelor's or Postgraduate degree in Computer Science, Data Science, Engineering, Financial Engineering, Quantitative Finance or related STEM discipline
Salary: $100K to $115K
The Federal Home Loan Bank of New York is committed to recruit, hire, develop, motivate, promote, retain, and compensate all applicants and employees in a nondiscriminatory manner without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, status as a parent, disability, genetic information, military or veteran status, or any other characteristic protected by applicable law (including title VII of the Civil Rights Act of 1964).
Essential Job Function:
Data Infrastructure Development:
Design and build reliable and efficient processes for the loading, transformation, and storage of complex financial data from various sources.
Utilize SQL, Python, and Snowflake for data handling and management.
Build processes for data verification and take responsibility for ensuring data quality.
Collaborate with colleagues in employing the data to enable the development of Balance Sheet modeling and analytics tools which will promote data-driven decision-making across the Bank.
Financial Concepts Understanding:
Over time, the Junior Data Engineer will develop an understanding of financial concepts associated with the analysis of bond, swap and option instruments (e.g. pricing, risk exposures, market dynamics), and use such knowledge to inform the construction of data processes and analytical tools relevant to Balance Sheet management.
Collaboration:
Work closely with the Data Management Office, Financial Risk Management, I.T. and business teams in developing and launching in production multiple analytical tools.
Skills:
Must be skilled in Python programming with meaningful experience using Python in data processing tasks. Such experience may be derived from either professional or educational settings. Familiarity with object-oriented programming concepts is required
Proficiency in building SQL queries for data processing is required, with some exposure to database design principles. Must be able to create database tables, build robust processes to update them, and guide colleagues on using them for data extraction. Exposure to cloud-based data platforms (e.g. Snowflake) and ETL software tools would also be helpful.
Capability to analyze complex sets of data and provide actionable insights.
Excellent communication skills for effective cross-team collaboration.
Education:
Bachelor's or Postgraduate degree in Computer Science, Data Science, Engineering, Financial Engineering, Quantitative Finance or related STEM discipline
Salary: $100K to $115K
The Federal Home Loan Bank of New York is committed to recruit, hire, develop, motivate, promote, retain, and compensate all applicants and employees in a nondiscriminatory manner without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, status as a parent, disability, genetic information, military or veteran status, or any other characteristic protected by applicable law (including title VII of the Civil Rights Act of 1964).
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
Salary : $100,000 - $115,000