Principal Data Scientist at Faculty driving innovation in machine learning and AI solutions for clients. Mentoring teams and leading high - impact projects within a hybrid work environment.
About the role
- Data Scientist developing advanced data analytics solutions for financial crime detection at Morgan Stanley. Collaborating with cross-functional teams to implement analytics solutions in a hybrid work environment.
Responsibilities
- Develop and implement advanced data analytics solutions for financial crimes detection and prevention.
- Use graph-based techniques, graph analytics infrastructure to identify client behavior patterns to assist in financial crime investigations and build solutions for financial crime detection.
- Perform statistical and quantitative analysis to support inclusion of risk attributes, analyze, and propose thresholds for financial crime detection controls.
- Conduct research and development efforts to identify novel methods to deliver efficiency and effectiveness across analytical solutions.
- Collaborate closely with stakeholders in the Global Financial Crimes, Technology and Model Risk Management departments to deliver analytics solutions from conception to deployment.
Requirements
- Advanced quantitative degree in machine learning, statistics, mathematics, data science, computer science, engineering, or other highly quantitative fields.
- 3+ years of hands-on industry experience in conducting statistical analysis, developing quantitative models and deploying production quality code adhering to best practices and SDLC standards.
- Experience with graph databases and network analysis tools (e.g. NetworkX, Neo4J)
- Experience using PySpark in distributed environments like Hadoop and cloud
- In-depth knowledge of financial crime typologies, BSA/AML regulations and experience with financial crime specific platforms (e.g. Actimize, Quantexa)
- Strong presentation, written and verbal communication skills, with the ability to articulate complex technical concepts to non-technical audiences.
Benefits
- health insurance
- retirement plans
- paid time off
- flexible work arrangements
- professional development
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Senior Data Scientist focused on pricing strategies at Americanas with a notable presence in Brazil. Engaging in statistical modeling and predictive analytics for commercial planning.
Contract Data Scientist developing and validating the company's first Marketing Mix Model in London. Transforming data into actionable insights to drive growth for strategy and creative teams.
Senior Data Science Analyst at Dotz developing predictive models for credit management. Responsible for validating and monitoring statistical models and evaluating financial impacts.
Product Analyst managing cost reduction proposals within EDAG's automotive engineering team. Collaborating across technical areas and supporting cost - saving project initiatives.
Data Scientist for College Board leveraging data analysis and machine learning to improve educational outcomes. Collaborating with teams to develop machine learning solutions and insights.
Data Scientist at Genmab focusing on advanced analytics and machine learning solutions. Partnering with domain experts to embed data - driven decision making in biotech.
Data Scientist role at LYNX focusing on data - driven solutions in finance using Python and SQL. Responsibilities include managing knowledge gathering and predictive modeling to address business challenges.
Data Manager at Bromcom, leading data - cleanse and enrichment programmes for marketing and sales. Collaborating with teams to ensure data quality and effectiveness.
Data Scientist developing technology - based solutions for clients in Greece. Collaborating with a team to enhance clients' data ecosystems and business strategies.