VP Python Tech Lead

Citi

Confirmed live 2 days ago High trust
Remote

Quick summary

Work type
Remote
Location
Rutherford, NJ
Salary
$142,320–$213,480 / yr
Posted
14 days ago
Freshness
Confirmed live 2 days ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $189k
This role $178k
$127k most similar roles pay here $246k

This role pays more than 53% of similar roles. Most pay $168,125–$210,100 — the shaded band above. At the midpoint, this role pays about $178k versus about $189k for comparable roles.

Based on 239 similar postings.

Employer

About Citi

Citi is one of the world’s most trusted financial institutions, proudly serving millions of customers across the United States.

Citi currently has 256 open roles on FindRole.

Listed pay typically runs $140,080–$210,120 across 238 roles with salary data.

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View all roles at Citi

At a glance

TL;DR · VP Python Tech Lead

The VP Python Tech Lead is a senior level position within the Technology team responsible for leading application systems analysis and programming activities. You will architect, design, and implement robust Python-based solutions while performing data extraction and analysis from both structured and unstructured sources. The role involves solving complex problems involving financial data with a specific focus on credit risk management. To succeed, you must develop standards for coding, testing, and debugging while implementing unit testing and TDD to ensure software quality. You will utilize Python, SQL, Spark, PySpark, shell scripting, and Linux features. Additionally, the role requires an adaptive mindset to integrate advanced models in LLM and GenAI into production environments. Preferred experience includes distributed data tools like Hadoop, Hive, and MySQL within a banking or risk management context.

What you'll do

  • Architect, design, and implement robust Python-based solutions for complex business processes.
  • Extract and analyze data from both structured and unstructured sources.
  • Solve high-impact problems involving financial data with a focus on credit risk management.
  • Develop standards for coding, testing, debugging, and implementation across the system flow.
  • Implement Unit Testing and Test Driven Development (TDD) to ensure software quality.
  • Integrate LLM and GenAI models to provide innovative solutions to complex business problems.
  • Write and utilize shell scripts and other Linux features for system operations.
  • Ensure application designs adhere to the overall architecture blueprint and infrastructure goals.

What we're looking for

  • Bachelor's degree or equivalent experience in a STEM field.
  • 5+ years of experience designing and developing scalable and reliable applications.
  • Proficiency in Python, SQL, Spark, and PySpark.
  • Experience with GenAI and LLM projects is preferred.
  • Familiarity with distributed data/computing tools such as Hadoop, Hive, and MySQL.
  • Experience writing shell scripts and utilizing Linux features.
  • Background in financial business areas like banking or risk management.
  • Ability to implement Unit Testing and TDD to ensure software quality.

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