AML and Sanctions- Data Scientist- Senior Associate

PWC

Quick summary

Work type: On-site
Location: New York, NY · Charlotte, NC · Washington, DC · Boston, MA · Kansas City, MO
Salary: $77,000–$202,000 / yr
Posted: 5 days ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $166k

This role $140k

$62k most similar roles pay here $217k

This role pays less than 65% of similar roles. Most pay $135,000–$197,133 — the shaded band above. At the midpoint, this role pays about $140k versus about $166k 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 55 open roles on FindRole.

Listed pay typically runs $99,000–$232,000 across 55 roles with salary data.

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View all roles at PWC

At a glance

TL;DR · AML and Sanctions- Data Scientist- Senior Associate

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As a Senior Associate in the Financial Crime Unit at a leading banking and capital markets firm, you will apply machine learning and natural language processing techniques to complex financial crime challenges using SQL and Python. Your day-to-day responsibilities include analyzing intricate datasets, mentoring junior team members, and developing robust client relationships while maintaining high technical standards. This role requires advanced skills in Python and SQL, experience with cloud platforms like AWS or Azure, and familiarity with MLOps practices for model monitoring. You will work on cutting-edge machine learning frameworks such as scikit-learn, XGBoost, LightGBM, and Hugging Face to solve real-world financial crime problems, enhancing both your technical expertise and professional network.

Skills

Python SQL scikit-learn XGBoost LightGBM HuggingFace ML frameworks MLOps cloud platforms containerization agentic AI frameworks CI/CD

What you'll do

Apply machine learning and NLP to solve financial crime challenges.
Analyze complex datasets using SQL and Python for problem-solving.
Mentor junior team members in data science techniques and practices.
Develop and maintain advanced machine learning models for clients.
Translate client requirements into effective analytical solutions.

What we're looking for

Bachelor's degree in a relevant technical field.
3 years of professional experience in data science or machine learning.
Expertise in Python and SQL for data analysis.
Experience developing and mentoring junior team members.
Familiarity with cloud platforms, containerization, and MLOps practices.
Proficiency in using ML frameworks like scikit-learn and XGBoost.
Ability to translate client requirements into analytical solutions.

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