AML/Sanctions- Data Scientist- Associate

PWC

Quick summary

Work type
On-site
Location
New York, NY · Charlotte, NC · Philadelphia, PA · Washington, DC · Boston, MA
Salary
$63,000–$140,000 / yr
Posted
3 days ago
Nearby
99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $155k
This role $102k
$48k most similar roles pay here $203k

This role pays less than 96% of similar roles. Most pay $126,800–$182,650 — the shaded band above. At the midpoint, this role pays about $102k versus about $155k for comparable roles.

Based on 240 similar postings.

Employer

About PWC

PwC (PricewaterhouseCoopers) is one of the "Big Four" accounting and professional services firms, providing audit, tax, and advisory services to companies, governments, and institutions worldwide. Industry: Professional Services & Accounting

PWC currently has 54 open roles on FindRole.

Listed pay typically runs $99,000–$232,000 across 53 roles with salary data.

Most-posted roles

View all roles at PWC

At a glance

TL;DR · AML/Sanctions- Data Scientist- Associate

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As an Associate in the Financial Crime Unit at a leading banking firm, you will join a dynamic team applying analytical methods to complex datasets using SQL and Python to address financial crime challenges. Your day-to-day responsibilities include engaging with clients to build professional relationships, conducting data analysis for problem-solving, exploring machine learning techniques, and contributing to research efforts while adhering to ethical guidelines. You must have a Bachelor's degree in relevant fields such as computer science or economics, along with one year of experience in data science or machine learning. Ideal candidates possess advanced SQL and Python skills, experience building machine learning models, familiarity with frameworks like scikit-learn and Hugging Face Transformers, and an interest in financial crime analytics. This role offers significant opportunities for personal and technical growth within a fast-paced environment focused on tackling complex business challenges.

Skills

Python SQL machine learning NLP CI/CD scikit-learn XGBoost Hugging Face Transformers AWS R Excel

What you'll do

  • Utilize analytical techniques to address financial crime issues.
  • Apply SQL and Python for data analysis and problem-solving.
  • Engage with clients to foster meaningful professional relationships.
  • Explore machine learning, NLP, and LLMs in relevant projects.
  • Contribute to team efforts while enhancing personal technical skills.

What we're looking for

  • Bachelor's degree in a relevant field such as data science or computer science.
  • At least one year of experience in data science or machine learning.
  • Proficiency in SQL and Python for data analysis.
  • Experience with building and deploying machine learning models.
  • Understanding of financial crime, AML, and fraud analytics concepts.
  • Ability to work with both structured and unstructured data effectively.

Related searches

More AML jobs AML jobs in New York All jobs at PWC

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