Job Overview

Job Title Data Scientist with Compliance Expertise
Hiring Organization Smarsh
Company Website https://www.smarsh.com/
Remote Locations US
Job Type Remote, Full-Time

As a Data Scientist with Compliance background at our company, you will play a crucial role in combining compliance expertise with data analytics skills. You’ll analyze a wide range of unstructured communications data to address problems for our customers, focusing on regulatory compliance and risk mitigation. This position offers a unique opportunity to work at the intersection of data science and financial compliance, allowing you to develop both technical and domain-specific skills.

Job Responsibilities

Generate insights and create reports on compliance trends and potential risks for internal or customer related datasets
Perform exploratory data analysis on communication data to identify potential compliance risks
Assist in data annotation and quality review for compliance-related datasets
Participate in client/prospect guidance for machine learning model and analytic fine-tuning processes
50% Exploratory data analysis, data annotations, and compliance review
30% Data science experiments and model building
10% Interaction with stakeholders to understand compliance and modeling needs
10% Reporting and documentation

Job Requirements

Required Education and Experience
Preferred Qualifications
Demonstrated expertise in adherence to financial regulations and implementing LOD practices in L1, L2 and L3 risk anagement practices providing compliance through risk assessments.
Knowledge of the rules and regulations of the Securities Exchange Commission (SEC); Financial Industry Regulatory Authority (FINRA); and state securities regulatory agencies
Understanding of statistics and data science principles (hypothesis testing, regression, classification, clustering, etc.)
Excellent verbal and written communication skills
Self-motivated learner with a collaborative mindset
Ability to manage time efficiently and handle multiple priorities
Bachelor’s degree in Computer Science, Applied Math, Statistics, Business, Finance, or a related field
2+ years of experience working with data & analytics (including academic experience)
Familiarity with Git, Linux/Unix, and IDEs
Knowledge of financial industry regulations and compliance practices like LoD
Experience and Training in Bank’s L1, L2 and L3 risk assessment for Supervision or Surveillance or AML risks.
Master’s degree in a relevant field
Familiarity with cloud computing platforms (AWS, GCS, Azure)
Experience with automated supervision/surveillance/compliance tools

Employee Benefits

£60,000 – £80,000 a year

The above salary range represents Smarsh’s good faith and reasonable estimate of the range of possible base compensation at the time of posting.

Any applicable bonus programs will be discussed during the recruiting process.

The salary for this role will be set based on a variety of factors, including but not limited to, internal equity, experience, education, location, specialty and training. Local cost of living assessments are done for each new hire at the time of offer.