K2 Integrity
Senior Data Analyst
Similar Jobs
Fintech • Financial Services
Senior Data Analyst partners with Product, Marketing, Finance, and leadership to deliver data-driven insights. Responsibilities include SQL/Python analysis, predictive modeling, forecasting, automating reporting, building dashboards and datasets in Snowflake/Looker, running A/B tests in LaunchDarkly, and communicating findings to influence product and company strategy.
Top Skills:
HeapLaunchdarklyLookerPythonSegmentSnowflakeSQLTableau
.jpg)
Artificial Intelligence • Computer Vision • Machine Learning • Payments • Real Estate • PropTech
Senior Data Analyst partnering with product, engineering, sales, and operations to define analytics roadmaps, craft complex SQL analyses, build Tableau dashboards, evolve the data warehouse with Data Engineering, maintain data cataloguing and governance, ensure analytics SLAs, and mentor junior analysts.
Top Skills:
AWSDbtGitGitJavaJavaeeJavaScriptJqueryMySQLSnowflakeSpring BootSQLTableau
AdTech • Enterprise Web • Information Technology • Machine Learning • Marketing Tech • Sales
The Senior Data Analyst oversees performance reporting tools, automates data pipelines, conducts quantitative analyses, and communicates findings to various stakeholders.
Top Skills:
Google BigqueryGoogle SuiteMS OfficePythonSQL
We are seeking a highly skilled Senior Data Analyst to join our Financial Crimes / Anti-Money Laundering (AML) team. This is a contract role. The ideal candidate will have a strong technical background and extensive experience in the financial crimes and AML space. This role involves analyzing and interpreting transactions, accounts, customers, alerts, and third-party data using advanced statistical and analytical tools to identify potential suspicious patterns, anomalies, and risks.
Responsibilities:
Qualifications:
This role is work from home (United States) or onsite in NYC metro.
Minimum Hourly Rate: $55.00 | Maximum Hourly Rate: $70.00
Responsibilities:
- Analyze and interpret transactions, accounts, customers, alerts, and third-party data using statistical and analytical tools to identify potential suspicious patterns, anomalies, and potential risks.
- Utilize data analytics tools (e.g., SQL, Python, R, SAS) to support investigations teams and decision-making processes.
- Design and implement financial crime detection models and scenarios.
- Conduct root cause analyses on financial crime incidents to enhance detection and prevention strategies.
- Translate data-driven forensic analyses into actionable insights for investigators, enabling effective and efficient investigations.
Qualifications:
- At least a bachelor's degree in data analytics or a related field.
- Advanced degree in a related field (e.g., Data Engineering, Data Science, Statistics) preferred.
- 3+ years of experience in the field.
- Proven experience in the financial crimes / AML space.
- Proficiency in Alteryx is strongly preferred.
- Proficiency in data analytics tools such as SQL, Python, R, and SAS.
- Experience with Hadoop environment is a plus but not required.
- Strong understanding of AML/KYC regulations and practices.
- Experience in designing and implementing financial crime detection models and scenarios.
- Ability to conduct root cause analyses on financial crime incidents.
- Excellent analytical and problem-solving skills.
- Strong communication skills, with the ability to translate complex data into actionable insights.
- Experience working in a major financial institution or consulting firm preferred.
This role is work from home (United States) or onsite in NYC metro.
Minimum Hourly Rate: $55.00 | Maximum Hourly Rate: $70.00
K2 Integrity New York, New York, USA Office
845 Third Avenue, New York, NY, United States, 10022
What you need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory
