- Salary
- $104k – $194k
- Location
- Denver
- Workplace
- Hybrid
- Department
- Product and Design
- Seniority
- Senior
- Experience
- 3+ years
- Source
- Greenhouse
Description
Perform advanced data analysis using AWS applications. Lead predictive analytics by creating statistical models for resource planning of real-time compliance operations system. Perform system tuning to ensure effective hit rate management for Compliance Sanction Scanning systems. Facilitate the implementation of business solutions and develop system automation to minimize manual intervention utilizing specialized transaction account screening tools. Lead Anti-Money Laundering compliance system validation and calibration plan to track and prioritize transaction and account screening activities along with maintaining documentary repository. Conduct in-depth risk and cost effectiveness analysis of transaction screening flow to formulate conclusions and recommendations for leadership and internal stakeholders. Build and present data reports for comparative analysis and conduct post-implementation impact analysis for stakeholders for productivity tracking.
Position allows for partial remote work. Must live within reasonable commuting distance. Reports to company office in Denver, CO.
Job Requirements: Requires at least a Bachelor’s degree in Business Intelligence, Information Systems or related field. Position requires at least 3 years of related experience, which much include some experience in each of the following skills: Programming languages such as SQL, Python, and R to forecast business trends and customer behavior, establish data correlations and identify high-risk patterns associated with regulatory compliance and support strategic initiatives; Manage relational data models using SQL queries in database platforms such as Snowflake and Couchbase for key results (OKRs); Develop visually engaging dashboards in Tableau and Power BI to present financial metrics, trends, and insights for data-driven decision making in enterprise resource allocation and project prioritization; Build self-serve analytics model in pandas-Python library for productivity tracking and optimizing reporting processes to be served directly to stakeholders; Develop business process automation for manual and repetitive tasks related to compliance payment review using algorithm designing to reduce operational costs; Conduct comprehensive financial reporting utilizing statistical modelling techniques such as ANOVA for variance analysis and decision trees and linear regression for predictive analysis.
Salary: $104,300.00 - $193,700.00 per year
To apply, upload resume and cover letter.