Job Description
Position: Python Developer/Quant Analytics (Market Risk)
Location: Jersey City, NJ (Hybrid).
Type: Fulltime/Permanent.
Must have: Strong hands-on experience in Python development, Quantitative analytics and Market risk experience.
Job Description
* Strong hands-on experience in Python development with the ability to build analytical solutions for complex quantitative and market risk use cases.
* Experience or background in Market Risk Analytics in a plus, including understanding of P&L calculations, P&L vectors, risk metrics, and quantitative data processing.
* Experience working with large-scale financial datasets and performing complex aggregations, transformations, and analytics on high-volume data.
* Candidate will focus on developing solutions for pricing analytics, risk analytics, trade analytics, or financial modeling environments.
* Ability to process and optimize data pipelines handling billions of records, with a focus on performance, scalability, and efficiency.
* Experience working within global banking or capital markets organizations and handling enterprise-scale financial datasets.
* Preference for candidates who combine strong quantitative/domain knowledge with technical development skills, rather than purely application development experience.
* Preference for candidate who has experience solving real-world analytical problems involving vector calculations, complex aggregations, and quantitative data modeling.
* Familiarity with distributed computing/grid computing platforms and running large-scale analytics workloads is a plus.
* Ability to collaborate effectively with Quant teams and business stakeholders.
* Strong communication and problem-solving skills
Position: Python Developer/Quant Analytics (Market Risk)
Location: Jersey City, NJ (Hybrid).
Type: Fulltime/Permanent.
Must have: Strong hands-on experience in Python development, Quantitative analytics and Market risk experience.
Job Description
* Strong hands-on experience in Python development with the ability to build analytical solutions for complex quantitative and market risk use cases.
* Experience or background in Market Risk Analytics in a plus, including understanding of P&L calculations, P&L vectors, risk metrics, and quantitative data processing.
* Experience working with large-scale financial datasets and performing complex aggregations, transformations, and analytics on high-volume data.
* Candidate will focus on developing solutions for pricing analytics, risk analytics, trade analytics, or financial modeling environments.
* Ability to process and optimize data pipelines handling billions of records, with a focus on performance, scalability, and efficiency.
* Experience working within global banking or capital markets organizations and handling enterprise-scale financial datasets.
* Preference for candidates who combine strong quantitative/domain knowledge with technical development skills, rather than purely application development experience.
* Preference for candidate who has experience solving real-world analytical problems involving vector calculations, complex aggregations, and quantitative data modeling.
* Familiarity with distributed computing/grid computing platforms and running large-scale analytics workloads is a plus.
* Ability to collaborate effectively with Quant teams and business stakeholders.
* Strong communication and problem-solving skills
Python Developer/Quant Analytics (Market Risk) in jersey city at Unknown Company
This position is listed as full time and hybrid.