Job Information
TEKsystems Business Analyst in San Francisco, California
Description:
Daily Responsibilities:
- Financial operations management
⁃ Ideally- financial fraud operations management- to include strategy development incident management , all aspects of
⁃ Fraud investigation- daily Manama
⁃ Fraud service team
⁃ Understand how fraud investigations of
⁃ Large financial institution
⁃ In-depth of financial fraud and risk
⁃ experience as a business process analyst or a process owner
⁃ Ability to dive into fraud related data
⁃ Analyze trends and patterns of where there may be process opportunities
⁃ Be able to identify areas of opportunities
⁃ Perform root cause analysis
⁃ Provide recommendations
⁃ Someone who can manage a portion of the business
⁃ Build out the role to manage the process
⁃ Understand the risks
⁃ All the qualities of an analyst and execute the plan
Lead the development, deployment, and maintenance of fraud and credit risk rules which make optimal use of ML models and data.
Contribute to the creation and maintenance of reusable data pipelines, focused on feature creation.
Partner with colleagues throughout the organization to identify high-impact opportunities to leverage and utilize models and data to best suit the business needs, including contributing to rules and strategies which balance revenue and risk.
-Contribute to the evolution of our data and rules infrastructure to improve efficiency and effectiveness of decision science solutions
- Represent the team and Credit Karma in internal and external forums such as executive level presentations, conferences, speaking engagements and meetups, and act as a talent magnet and spokesperson in such forums.
Skills:
Business analysis, fraud, Financial Operations, business process analysis
Qualifications:
5 + years of Fraud BA exp
Financial institution exp
Experience developing Business process (on the fraud side)
Experience building out models
Work experience with data-driven strategy design and optimization
Ability to quickly develop an understanding of large, complex datasets
Fintech, financial services, consulting or a similar strategic or analytical experience
Relevant work experience in credit risk and/or financial fraud risk, with an understanding of payment systems, money movement products, and banking, finance, credit bureau, and fraud detection data
Work experience with public cloud platforms (especially GCP), Apache airflow, or Git
Experience in MLOps infrastructure and tooling including building efficient and reusable data pipelines
Knowledge of Python
Experience Level:
Intermediate Level
About TEKsystems:
We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company.
The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.