Match score not available

Data Scientist with Compliance Expertise

Remote:

Full Remote

Contract:

Full time

Salary:

4 - 4K yearly

Experience:

Mid-level (2-5 years)

Work from:

United Kingdom, United States

Offer summary

Qualifications:

Bachelor's degree in relevant field, 2+ years of data analytics experience, Knowledge of SEC and FINRA regulations, Understanding of statistics and data science principles, Familiarity with Git, Linux/Unix, IDEs.

Key responsabilities:

Generate insights on compliance trends
Perform exploratory data analysis on communication data
Assist in data annotation and quality review
Participate in guidance for machine learning model tuning
Report finding documentation

Cognia XLarge https://www.smarsh.com/

1001 - 5000 Employees

See more Cognia offers

Job description

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.

What will you do?

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

What will you bring?

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

Required Education and Experience

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.

Preferred Qualifications

Master's degree in a relevant field

Familiarity with cloud computing platforms (AWS, GCS, Azure)

Experience with automated supervision/surveillance/compliance tools

About our culture

Smarsh hires lifelong learners with a passion for innovating with purpose, humility and humor. Collaboration is at the heart of everything we do. We work closely with the most popular communications platforms and the world’s leading cloud infrastructure platforms. We use the latest in AI/ML technology to help our customers break new ground at scale. We are a global organization that values diversity, and we believe that providing opportunities for everyone to be their authentic self is key to our success. Smarsh leadership, culture, and commitment to developing our people have all garnered Comparably.com Best Places to Work Awards. Come join us and find out what the best work of your career looks like.