Apps Dev Tech Lead, Python Developer - Vice President - RUTHERFORD

Citi

Remote

Quick summary

Work type: Remote
Location: Remote
Salary: $142,320–$213,480 / yr
Posted: 59 days ago

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $184k

This role $178k

$134k most similar roles pay here $222k

This role pays more than 56% of similar roles. Most pay $157,000–$211,200 — the shaded band above. At the midpoint, this role pays about $178k versus about $184k for comparable roles.

Based on 240 similar postings.

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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 397 open roles on FindRole.

Listed pay typically runs $125,760–$188,640 across 367 roles with salary data.

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At a glance

TL;DR · Apps Dev Tech Lead, Python Developer - Vice President - RUTHERFORD

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As a senior applications developer in the technology team, you will architect and design robust Python-based solutions for data extraction and analysis from both structured and unstructured sources. Your day-to-day responsibilities include implementing unit testing and TDD to ensure software quality while collaborating with business partners on complex financial data problems related to credit risk management. You will leverage your expertise in Python, SQL, Spark, and PySpark to develop scalable applications and stay current with advancements in LLMs and GenAI to innovate solutions for intricate business challenges. This role requires a strong background in financial services such as banking and risk management, along with experience in distributed data computing tools like Hadoop, Hive, and MySQL.

Skills

Python SQL Spark PySpark Shell_scripting Linux Unit_Tests TDD Hadoop Hive MySQL GenAI LLMs

What you'll do

Design and implement Python-based solutions for data extraction and analysis.
Develop systems to manage financial data, focusing on credit risk.
Implement unit testing and TDD practices in production environments.
Learn and apply advanced models in LLMs and GenAI to solve complex problems.
Work with technology partners to deploy applications in a production setting.

What we're looking for

5+ years of experience in designing and developing scalable applications.
Proficiency in Python, SQL, Spark, and PySpark.
Experience with GenAI/LLMs and distributed computing tools (Hadoop, Hive).
Strong background in financial data analysis and risk management.
Ability to work independently and collaboratively within a team.

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