Remote Data Scientist with Compliance Expertise

Description:

• As a Data Scientist with Compliance background, you will combine compliance expertise with data analytics skills.
• You will analyze a wide range of unstructured communications data to address problems for customers, focusing on regulatory compliance and risk mitigation.
• This position allows you to work at the intersection of data science and financial compliance, developing both technical and domain-specific skills.
• Your responsibilities will include generating insights and creating reports on compliance trends and potential risks for internal or customer-related datasets.
• You will perform exploratory data analysis on communication data to identify potential compliance risks.
• Assisting in data annotation and quality review for compliance-related datasets will be part of your role.
• You will participate in client/prospect guidance for machine learning model and analytic fine-tuning processes.
• Your work will be divided into 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; and 10% reporting and documentation.

Requirements:

• You must have demonstrated expertise in adherence to financial regulations and implementing LOD practices in L1, L2, and L3 risk management 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 is required.
• A solid understanding of statistics and data science principles, including hypothesis testing, regression, classification, and clustering, is necessary.
• Excellent verbal and written communication skills are essential for this role.
• You should be a self-motivated learner with a collaborative mindset.
• The ability to manage time efficiently and handle multiple priorities is crucial.
• A Bachelor's degree in Computer Science, Applied Math, Statistics, Business, Finance, or a related field is required.
• You must have 2+ years of experience working with data and analytics, including academic experience.
• Familiarity with Git, Linux/Unix, and IDEs is necessary.
• Knowledge of financial industry regulations and compliance practices like LoD is required.
• Experience and training in Bank’s L1, L2, and L3 risk assessment for Supervision or Surveillance or AML risks is essential.
• Preferred qualifications include a Master's degree in a relevant field, familiarity with cloud computing platforms (AWS, GCS, Azure), and experience with automated supervision/surveillance/compliance tools.

Benefits:

• The salary for this role ranges from £60,000 to £80,000 a year, representing Smarsh's good faith estimate of possible base compensation.
• Any applicable bonus programs will be discussed during the recruiting process.
• The salary will be set based on various factors, including internal equity, experience, education, location, specialty, and training.
• Local cost of living assessments are conducted for each new hire at the time of offer.
• Smarsh values lifelong learners with a passion for innovating with purpose, humility, and humor.
• Collaboration is emphasized, and the company works closely with popular communications platforms and leading cloud infrastructure platforms.
• Smarsh uses the latest in AI/ML technology to help customers break new ground at scale.
• The organization values diversity and believes in providing opportunities for everyone to be their authentic self.
• Smarsh has received Best Places to Work Awards from Comparably.com, reflecting its commitment to leadership, culture, and developing its people.