Senior Python Fintech Lead for Data Pipelines & Trading

EPAM Systems; United States; Remote; USD 140,000 - 210,000; Full time

Job summary

EPAM Systems Inc in the United States seeks a Lead Python Developer (Fintech) to design and optimize data processing workflows, manage deployment pipelines, and lead large-scale trading data projects. You will collaborate on Git workflows, CI/CD tasks, and ensure reliable data reconciliation across sources.

The role requires 7+ years of Python experience, strong Pandas/NumPy, SQL expertise, and excellent English communication at B2+ level. Hybrid or on-site work is expected.

Qualifications

• 7+ years of Python development experience.
• Strong command of Python, Pandas and NumPy.
• Experience managing packages and virtual environments (Conda, Poetry, Virtualenvs).
• Expertise in crafting and refining SQL queries.
• Experience handling large, unstructured datasets such as loan-level tapes and model outputs.
• Ability to reconcile two data result sets and explain discrepancies.
• Hands-on experience with Git, including branching and PR reviews.
• English proficiency at B2+ level or higher.

Responsibilities

• Build data processing workflows using Python and manage virtual environments.
• Craft and optimize SQL queries for trading datasets.
• Collaborate through Git workflows: branching, PRs, code reviews.
• Contribute to CI/CD tasks: builds, tests, deployments, rollbacks.
• Analyze large datasets including loan-level tapes and model outputs.
• Cross-check results from multiple sources and investigate discrepancies.
• Document variances identified during data reconciliation.

Skills

Python

Pandas

NumPy

Conda

Poetry

Virtualenvs

SQL

Git

CI/CD

Data reconciliation

English (B2+)

Tools

SQL Server

Linux CLI

SSH

SMB/NFS

Job description

EPAM Systems Inc in the United States seeks a Lead Python Developer (Fintech) to design and optimize data processing workflows, manage deployment pipelines, and lead large-scale trading data projects. You will collaborate on Git workflows, CI/CD tasks, and ensure reliable data reconciliation across sources.

The role requires 7+ years of Python experience, strong Pandas/NumPy, SQL expertise, and excellent English communication at B2+ level. Hybrid or on-site work is expected.