Experts in this TalentCloud should be able to create automated risk decision strategies as well as data-driven fraud mitigation strategies. Leverage customer data and transactional unstructured data to build risk segmentation and mitigation strategies. Other responsibilities include:
- Review monetary and non-monetary fraud transactions, conduct interviews, and analyze transaction data to detect fraudulent or unusual patterns and trends in support of the investigative process
- Build necessary reporting to track the effectiveness of risk strategies and decision tools
- Work closely with engineering teams to drive the availability of relevant data, tools, and infrastructure and continue to enhance automated underwriting capability
- Scale strategic and financial planning processes (Forecasts, Budgets, Strategic Planning)
- Analyze and report actual financial performance to Executives and other leaders
- Prepare recurring credit stress testing, Dual Risk Rating, and other credit risk reports and dashboards as well as ad hoc credit risk analysis or reports as requested by management
- Work closely with the Financial Partnerships, People, and Talent teams to forecast and operationalize financial budgets and headcount plans
- Lead projects and contribute your thought leadership to implement financial crime risk management frameworks across the organization
- Own KPI reports to management on financial performance and progress
- Design and implement financial risk systems and software
- Implement and perform model monitoring tests and procedures and produce recurring reports evaluating the continued validity of department-owned models
- Conduct all aspects of the compliance review, including scoping, sampling, data analysis, research, control testing, meetings with management, root cause analysis, and preparation of the final report
- Assist with the improvement of business procedures and process updates as necessary to meet compliance requirements
- Stay up to date on regulatory changes, assess impact, and communicate changes to relevant stakeholders
Preferred Education
- Bachelor’s degree in accounting, quantitative field, finance, computer science, computer engineering, IT or economics
Required Skills
- 3+ years of financial or risk-related analytical experience preferably in any of the following: Financial Crime, Fraud, Credit Risk, Collections, Operations
- Hands-on experience with either SQL, SAS, R, or Python
- Strong analytical abilities and proficiency with spreadsheets and slides
- Ability to conduct research, work independently, determine priorities and meet deadlines
- Excellent written and verbal English communication skills
- Advanced quantitative and analytical skills, with strong detail orientation
- Proven organizational and project management skills, including excellent time management and the ability to handle multiple concurrent assignments
- Ability to work under pressure, allocate time efficiently and manage multiple priorities at once
Preferred Skills
- Prior experience in banking in risk or FIU/AML/KYC function
- Experience in producing Business Intelligence reports, such as Looker, Tableau
- Exposure to statistical concepts
- Quantitative and hands-on knowledge of various machine learning, deep learning, and AI algorithms and their implementations
- Strong interest in fraud trends, strategies, and tools
