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Market Risk Developer (Java/Python + Spark)

Axelon Services CorporationJersey City, NJ

$84 - $89 / hour

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Overview

Remote
On-site
Compensation
$84-$89/hour

Job Description

Global Financial Firm located in Jersey City, NJ has an immediate contract opportunity for an experienced Market Risk Developer (Java/Python+ Spark). Pay Rate: $84.00 - $89.00 per hour

  • Work Mode: Hybrid
  • Location: Jersey City, NJ

Responsibilities:

  • Engage in hands-on development while leading the technical design and implementation of key components of the Market Risk platform.
  • Communicate with product leads to discuss opportunities for improving existing and future technology solutions.
  • Implement scalable and high-performance computing solutions for computing market risk and providing analysis capabilities.
  • Implement containerized deployment and integrate with modern data platforms such as Snowflake for cloud-based data processing.
  • Collaborate with cross-functional teams and global counterparts to deliver high-quality solutions.
  • Optimize risk data processing pipelines to improve efficiency and response time.
  • Partner with Risk, Model Governance, and Compliance stakeholders to ensure regulatory requirements are accurately implemented in market risk technology.
  • Work in an Agile development environment, ensuring timely and efficient product delivery.
  • Provide technical leadership and mentorship to junior developers in the squad.

Requirements:

  • Expert-level knowledge of core Java concepts and frameworks such as Spring Boot and Microservices, with a strong understanding of OOPs concepts and design patterns.
  • Hands-on experience with Apache Spark (with Java).
  • Solid understanding of data structures, algorithms, and software design patterns.
  • Extensive development expertise in building high-scaled and performant software platforms for data computation and processing.
  • Knowledge of containerized deployments and cloud-native architecture.
  • Familiarity with Agile software development and DevOps best practices.
  • Experience with caching solutions like Pinot, Redis, etc.
  • Experience with relational and/or document-oriented databases.
  • Strong working knowledge of Linux/Unix environments and scripting.
  • Ability to translate business and analytical requirements into efficient technical solutions.
  • Ability to guide junior staff, influence technical direction, and manage multiple initiatives in parallel.
  • Minimum 8 years of relevant experience building large-scale, production-grade systems, with demonstrated depth in Java-based backend development and distributed system design.
  • Background in financial services, especially within Market Risk or FinTech.

Preferred Skills:

  • Strong problem-solving and analytical thinking.
  • Self-starter with the ability to take initiative and drive projects independently.
  • Ability to align technology with business goals and regulatory needs.
  • Excellent communication skills, both verbal and written.

Education:

  • Bachelor’s degree/University degree or equivalent experience
  • Master’s degree preferred

Automate your job search with Sonara.

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FAQs About Market Risk Developer (Java/Python + Spark) Jobs at Axelon Services Corporation

What is the work location for this position at Axelon Services Corporation?
This job at Axelon Services Corporation is located in Jersey City, NJ, according to the details provided by the employer. Some roles may also include multiple work locations depending on the requirement.
What pay range can candidates expect for this role at Axelon Services Corporation?
Candidates can expect a pay range of $84–$89 per hour for this role.
What employment applies to this position at Axelon Services Corporation?
The employer has not provided this information. This may be discussed during the hiring process.
What is the process to apply for this position at Axelon Services Corporation?
You can apply for this role at Axelon Services Corporation either through Sonara's automated application system, which helps you submit applications 10X faster with minimal effort, or by applying manually using the direct link on the job page.