Python Developer Finance Jobs in Los Angeles, CA

Job Summary:
Intelliswift, an LTTS Company, is seeking a BI Reporting Analyst II to enhance data-driven decision-making within the organization. The role involves coordinating with various teams to analyze fraud and compliance risks, develop automated reporting, and utilize data analytics tools to improve business processes.
Responsibilities:
• Coordinate with Risk, Compliance, and Operations leaders, database engineers and executives to accomplish the following:
• Translate business questions into verifiable hypotheses and make decisions through testing.
• Constantly exploring ways to improve and automate manual processes using data, machine learning, analytics.
• Leverage data to understand our Small Business money movement Fraud, Financial and Compliance Risk in depth and identify trends that indicate elevated risk and inform and influence Risk Policy where applicable.
• Proactively identify areas of opportunity and suggest projects to mitigate risk while providing an awesome and delightful customer experience.
• Work with engineers to develop, test, and maintain accurate tracking, capturing and reporting of key Fraud Risk & Compliance metrics via server-side data collection and other database sources.
• Maintain and improve a set of automated reporting to provide the basis for in-depth analysis and business evaluation; in doing so provide the standardized logic for Risk analysts to build upon.
• Use tools and programs such Microsoft SQL Server (SSRS, SSAS), Excel, Python, Tableau, QlikView and many other internal tools to work efficiently at scale.
• Provide analysis and insight that help manage Fraud & Compliance policies such as anti-money laundering and approvals/underwriting for all money movement products.
• Utilize predictive modeling and other advanced techniques to prevent money laundering, acceptable use violations, first and third party fraud attacks.
• Partner with Risk & Compliance Operations to provide analysis and reporting that enables efficient Risk processes and results in improved metrics and performance.
Qualifications:
Required:
• Strong business acumen and exceptional analytical ability with 2-5 years of relevant experience.
• Advanced SQL and coding skills to perform data segmentation and aggregation from scratch.
• Good working experience with data analytics and visualization tools (Excel, Power Pivot, Tableau, QlikView, etc.).
• Outstanding communication skills with the ability to deftly negotiate, prioritize across teams, influence decision makers and build consensus with teams.
• High degree of accountability, organization and empathy.
• Experience working with Key Performance Indicator metrics such as conversion rates, user acquisition, conversion and retention and/or product usage.
• Bachelor’s Degree in Quantitative Field or commensurate experience.
• Advanced SQL: 5+ years - Comfortable writing complex SQL queries that combine data from various tables, e.g. CTEs, temporary tables.
• Tableau: 3+ years - Highly proficient in building effective data visualizations using Tableau dashboards.
• Python: 3+ years - Experience with Python programming for querying, data pipelines and ETL.
• ETL: 3+ years - Experience with Data ETL using any scripting language.
• Excellent analytical and problem-solving skills.
• Outstanding communication skills with the ability to interpret data and tell a story.
Preferred:
• Experience in Financial Services or FinTech.
• Microsoft SQL Server Management Studio experience highly preferred.
• Experience with statistical analysis preferred.
• Advanced Tableau and Python: 5+ years - Advanced Tableau and Python programming abilities.
• Excel VBA: 2+ years - Experience with Excel macros and VBA.
• Data Platforms: 2+ years - Experience working with Redshift/Databricks/Jupyter Notebooks.
• Experience in Payments/Financial Services Industry.
Company:
"Intelliswift, an LTTS Company, delivers world-class Digital Product Engineering, Data Management, Analytics & AI, and Digital Ent Solutions It is a sub-organization of L&T Technology Services, Ltd.. Founded in 2001, the company is headquartered in Newark, USA, with a team of 1001-5000 employees. The company is currently Late Stage.