Position: Python Developer with Capital Market Domain experience
Location: Jersey City, NJ or Plano, TX or Charlotte, NC - LOCALS ONLY - INPERSON INTERVIEW MANDATORY
3 days onsite/week. ( Preferred location is Jersey City, NJ)
Contract duration on W2 12-18 months
All Visa accepted on w2
Note- Python Developer with Sql and Quartz or solid trading/Capital market background.
Minimum 8+ years of relevant experience
Must be local to the location, as the interview process will include 2nd round to be face-to-face.
Experience with Capital market/Trading or Banking is highly preferred.
Job Description
Enterprise Capital Management technology team is looking for a strong individual performer with ability to work in a fast-paced agile environment. The objective of our team is to ensure *** (Client) and its subsidiaries are compliant from a regulatory capital reporting perspective under the Basel rules in a new stable, scalable, and sustainable capital reporting and analysis platform. The project elaborates requirements for data sourcing elements for calculating risk weighted assets, details business logic for computing these financial elements and defines process-flow and formulas for generating Basel rules-based capital ratios. These requirements are captured for various entities at *** including bank holding company (BHC) and related depository institution entities (banks).
This role will be responsible for hands-on application development to support the current and target process, as well as partnering with the multiple Technology teams to implement the target architecture and migration to strategic platform.
Typically requires 10+ years of applicable experience
Required Qualifications : BS/MS in Computer Science, Engineering, or any quantitative discipline
Required Skillset
8+ years of experience in Python development experience is a must
2+ years of Java development is good to have
Experience in Quartz( Internal bank platform) would be preferred but optional
7+ years of SQL programming experience preferably with databases such as Oracle Exadata.
5+ years of UNIX scripting experience and unit test mock frameworks would be preferred.
Programming experience with Hadoop will be an advantage
Experience working with agile methodologies and SDLC processes would be preferred. Knowledge of performance tuning data intensive applications
Expertise in performance profiling, ability to identify performance improvements and memory optimizations
Strong coding, debugging, and analytical skills
Experience in large scale enterprise application implementation
Creative individual with a track record of working on and implementing innovative tech based solutions
Excellent communication skills
Preferred Skillset
Degree from outstanding university
Background in capital calculations
Knowledge and/or experience working within the Hadoop or other big data distributed ecosystem.
Knowledge of cloud computing or distributed computing