Senior Python Developer – Banking & Risk Modeling

New York, NY, US • Posted 1 day ago • Updated 1 day ago
Contract Independent
Contract W2
Contract Corp To Corp
No Travel Required
Able to Sponsor
On-site
Depends on Experience
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Job Details

Skills

  • Python
  • Financial Services
  • Data Modeling

Summary

Job Title: Senior Python Developer – Banking & Risk Modeling

Location: Downtown, New York, NY(Onsite)

 

Role Overview

We are seeking an experienced Senior Python Developer to support data-driven initiatives within a banking and financial risk environment. The ideal candidate will have strong expertise in Python development, SQL-based data manipulation, and financial risk modeling, along with a solid understanding of banking systems and liquidity management.

This role involves building and enhancing data processing solutions, applying data modeling techniques, and supporting financial risk analytics initiatives. The selected consultant will work closely with cross-functional teams including data engineers, risk analysts, and financial technology teams in an Agile development environment.

Candidates with a strong background in financial services, banking risk models, and data-driven development will be best suited for this role.

 

Key Responsibilities

·         Design and develop Python-based applications and data processing solutions for financial and risk analytics

·         Manipulate and analyze large datasets using SQL and Python

·         Support development and enhancement of risk models and analytics platforms

·         Work with financial data related to liquidity, risk management, and banking operations

·         Apply data modeling techniques to structure and optimize financial datasets

·         Collaborate with stakeholders to understand risk analytics and reporting requirements

·         Integrate data from multiple banking systems and financial data sources

·         Ensure code quality through testing, documentation, and peer reviews

·         Participate in Agile development processes, including sprint planning and stand-ups

·         Support troubleshooting, debugging, and performance optimization of data pipelines and applications

·         Work closely with cross-functional teams including data engineers, analysts, and risk management teams

 

Required Skills & Qualifications

·         5+ years of experience in Python development

·         Strong experience with SQL and data manipulation

·         Experience working with risk models or financial risk analytics systems

·         Solid experience within the banking or financial services domain

·         Strong understanding of data modeling concepts and data structures

·         Experience handling large financial datasets and analytics workflows

·         Familiarity with Agile development methodologies

·         Strong analytical and problem-solving skills

·         Excellent communication and collaboration skills

 

Mandatory Skills

·         Strong hands-on experience with Python programming

·         Experience working in Banking or Financial Services environments

·         Background in Risk Modeling or Financial Risk Analytics

·         Strong expertise in SQL and data analysis

·         Experience working with data modeling techniques

·         Solid educational background from a reputed university

 

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.
  • Dice Id: 91171094
  • Position Id: 8912240
  • Posted 1 day ago

Company Info

About MARKS IT SOLUTIONS LLC

MARKS IT Solutions is a trusted partner in delivering agile and scalable workforce solutions across Technology and Business domains. We specialize in Recruitment Process Outsourcing (RPO), MSP/VMS staffing, International Talent Solutions, and comprehensive Managed Services, helping top employers build and manage high-performing teams worldwide.

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