Ref No.: 22-01778
Location: Wayne, New Jersey
  • Bachelor's degree or foreign equivalent in Mathematics, Financial Engineering, Computer Science, or related field.
  • Prior experience of working into a front office oriented role preferably in an investment banking domain with understanding of Asset Class such as Equities and Fixed Income and associated trade life cycle and reference data.
  • 7+ year of technical proficiency with experience in Financial Engineering and modeling, Business/Data Analysis.
  • 2+ year of experience in building financial/quantitative models working closely with front office users.
  • 3+ year of development experience in Python with experience in Data Analysis/Visualization libraries such as Pandas, Numpy, Matplotlib, Plotly etc and developing testing and regression suites utilizing available framework such as Pytest, Unittest etc.
  • 3+ year of development experience with databases & SQL languages preferably Microsoft SQL Server.
  • 1+ year of development experience in one or more Data Visualization tools such as Qlikview, Qliksense, Tableau, Power BI.
  • 1+ year of hands on experience working into a Big Data/Hadoop technologies such as Spark, Hive, Impala.
  • Experience in using agile tools e.g. JIRA, Git, Team City, Agile Central.
  • Experience in DevOps, source control, unit and integration testing, continuous integration, release management, and other software development practices.
Good to have Skills
  • Investment Banking domain knowledge around Prime Brokerage, Securities Lending, Cash & Synthetic Financing.
  • Exposure to AWS Architecture & Services.

Ensure that all activities and duties are carried out in full compliance with regulatory requirements, Enterprise Wide Risk Management Framework and internal Brokerage Firm Policies and Policy Standards