What are the responsibilities and job description for the Lead Data Scientist (Financial Services) position at Kforce Technology Staffing?
RESPONSIBILITIES:
Kforce has a client in San Ramon, CA that is seeking a Lead Data Scientist (Financial Services).
Responsibilities:
* Act as a primary analytics lead for client engagements in financial crime (AML, fraud, sanctions)
* Translate business problems into analytical approaches and solution frameworks
* Present findings, recommendations, and model outputs to both technical and non-technical audiences
* Ensure models are explainable and aligned with regulatory expectations
Work with business stakeholders to understand:
* Regulatory requirements
* Risk frameworks
* Current detection and monitoring processes
Design and guide development of models for:
* Transaction monitoring (AML detection)
* Fraud detection
* Customer risk scoring
* Network/graph-based anomaly detection
Apply techniques such as:
* Supervised and unsupervised learning
* Anomaly detection
* Clustering and segmentation
* Graph analytics
REQUIREMENTS:
* 7-10 years of experience in data science, analytics, or machine learning
* Experience working in financial services or consulting environments
* Strong background in financial crime, AML, fraud, or risk analytics
* Proven experience in client-facing roles
* Experience leading or coordinating cross-functional teams
Strong understanding of:
* Machine learning techniques
* Statistical modeling
* Data manipulation (Python, SQL)
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 San Ramon, CA that is seeking a Lead Data Scientist (Financial Services).
Responsibilities:
* Act as a primary analytics lead for client engagements in financial crime (AML, fraud, sanctions)
* Translate business problems into analytical approaches and solution frameworks
* Present findings, recommendations, and model outputs to both technical and non-technical audiences
* Ensure models are explainable and aligned with regulatory expectations
Work with business stakeholders to understand:
* Regulatory requirements
* Risk frameworks
* Current detection and monitoring processes
Design and guide development of models for:
* Transaction monitoring (AML detection)
* Fraud detection
* Customer risk scoring
* Network/graph-based anomaly detection
Apply techniques such as:
* Supervised and unsupervised learning
* Anomaly detection
* Clustering and segmentation
* Graph analytics
REQUIREMENTS:
* 7-10 years of experience in data science, analytics, or machine learning
* Experience working in financial services or consulting environments
* Strong background in financial crime, AML, fraud, or risk analytics
* Proven experience in client-facing roles
* Experience leading or coordinating cross-functional teams
Strong understanding of:
* Machine learning techniques
* Statistical modeling
* Data manipulation (Python, SQL)
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.
Salary : $45 - $49