Overview
Remote
On Site
$64 - $74 hourly
Contract - W2
Contract - Temp
Skills
Pivotal
Advanced Analytics
Analytical Skill
Analytics
Workflow
Optimization
Statistics
Build Tools
Data Profiling
Collaboration
Regulatory Compliance
Data Science
Fraud
Finance
SQL
Python
Data Analysis
Testing
Regression Analysis
Time Series
Management
Actimize
SAS
Oracle
Business Analysis
AML
Scripting
Jupyter
Git
Auditing
Artificial Intelligence
Messaging
Job Details
RESPONSIBILITIES:
Kforce has a client in Pasadena, CA that is seeking a Data Analytics Engineer.
Summary:
We are looking for a Data Analytics Engineer to join our Financial Crimes and Anti-Money Laundering (AML) team. This role is pivotal in enhancing the effectiveness of our Bank Secrecy Act (BSA) compliance models through advanced analytics, automation, and statistical optimization. The ideal candidate will bring deep technical expertise in SQL and Python, a strong understanding of financial crime risk, and a passion for building intelligent, data-driven solutions.
Key Responsibilities:
* Partner with AML and Financial Crimes teams to identify analytical opportunities that improve detection and reduce false positives
* Develop and maintain automated analytics workflows to support model tuning, alert optimization, and investigative efficiency
* Conduct statistical analysis to evaluate and enhance BSA/AML model performance, including scenario calibration and threshold testing
* Build tools and scripts in Python to support ad hoc investigations, data profiling, and model diagnostics
* Write complex SQL queries to extract, transform, and analyze large volumes of transactional and customer data
* Collaborate with compliance, risk, and data science teams to ensure alignment with regulatory expectations and internal governance
* Document methodologies and results in a clear, audit-ready format
REQUIREMENTS:
* Bachelor's or Master's degree in Data Science, Statistics, Computer Science, or a related field
* 3+ years of experience in a data analytics or engineering role, preferably supporting AML, fraud, or financial crime teams
* Advanced proficiency in SQL and Python for data analysis and automation
* Strong foundation in statistical methods, including hypothesis testing, regression, and time series analysis
* Experience working with AML data such as transaction monitoring alerts, customer risk scores, and case management systems
* Ability to translate complex data into actionable insights for non-technical stakeholders
Preferred Qualifications:
* Familiarity with AML systems (e.g., Actimize, SAS AML, Oracle FCCM)
* Understanding of BSA/AML regulatory requirements and model governance practices
* Experience with scripting and automation tools (e.g., Jupyter, Airflow, Git)
* Exposure to model validation or audit processes in a regulated environment
The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.
We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.
Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.
This job is not eligible for bonuses, incentives or commissions.
Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
By clicking ?Apply Today? you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP.
Kforce has a client in Pasadena, CA that is seeking a Data Analytics Engineer.
Summary:
We are looking for a Data Analytics Engineer to join our Financial Crimes and Anti-Money Laundering (AML) team. This role is pivotal in enhancing the effectiveness of our Bank Secrecy Act (BSA) compliance models through advanced analytics, automation, and statistical optimization. The ideal candidate will bring deep technical expertise in SQL and Python, a strong understanding of financial crime risk, and a passion for building intelligent, data-driven solutions.
Key Responsibilities:
* Partner with AML and Financial Crimes teams to identify analytical opportunities that improve detection and reduce false positives
* Develop and maintain automated analytics workflows to support model tuning, alert optimization, and investigative efficiency
* Conduct statistical analysis to evaluate and enhance BSA/AML model performance, including scenario calibration and threshold testing
* Build tools and scripts in Python to support ad hoc investigations, data profiling, and model diagnostics
* Write complex SQL queries to extract, transform, and analyze large volumes of transactional and customer data
* Collaborate with compliance, risk, and data science teams to ensure alignment with regulatory expectations and internal governance
* Document methodologies and results in a clear, audit-ready format
REQUIREMENTS:
* Bachelor's or Master's degree in Data Science, Statistics, Computer Science, or a related field
* 3+ years of experience in a data analytics or engineering role, preferably supporting AML, fraud, or financial crime teams
* Advanced proficiency in SQL and Python for data analysis and automation
* Strong foundation in statistical methods, including hypothesis testing, regression, and time series analysis
* Experience working with AML data such as transaction monitoring alerts, customer risk scores, and case management systems
* Ability to translate complex data into actionable insights for non-technical stakeholders
Preferred Qualifications:
* Familiarity with AML systems (e.g., Actimize, SAS AML, Oracle FCCM)
* Understanding of BSA/AML regulatory requirements and model governance practices
* Experience with scripting and automation tools (e.g., Jupyter, Airflow, Git)
* Exposure to model validation or audit processes in a regulated environment
The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.
We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.
Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.
This job is not eligible for bonuses, incentives or commissions.
Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
By clicking ?Apply Today? you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.