High Salary Core Cash Strategy Analytics Support

Job Description

Join our dynamic Core Cash Strategy Analytics team and make a significant impact by promoting process improvements and key initiatives. Enhance your creative skills in a supportive environment while advancing your career. As part of the largest global cash management provider, Payments Operations aims for service excellence through client focus, technology solutions, and workforce innovation.

As a Fraud Strategy Support Analyst in Corporate Investment Banking you will support the Global Payments Fraud Operations program Strategy team, working in partnership with Operations, Technology and Product to continually identify abnormal transaction behavior and implement technology/process/policy enhancements to protect the firm and client interests. You will play a pivotal role in driving operational efficiency and strategic initiatives. You will leverage your understanding of data analytics and automation technologies to uncover patterns, analyze complex data sets, while growing in knowledge with the experts in developing and analyzing innovative solutions. This is a critical support role that will have significant impact on the team and departmental goals, contributing to the overall success of the firm.

Job responsibilities

- Assist senior leaders in reporting and Analytics
- Complete Ad-Hoc reporting Daily, weekly, monthly and Develop presentations
- Document and package status updates and proposals
- Perform data analytics, data mining, predictive analytics, and problem solving
- Analyze and interpret complex data sets using advanced data analytics skills to support operational initiatives and strategic decision-making.
- Develop and apply algorithms and models with ability to clearly explain them to Management, Operations and Technology teams
- Collaborate with Technology and Operations for analytics and risk mitigation, root cause analysis.
- Utilize automation technologies to optimize processes, enhance efficiency, and support the implementation of business strategies.
- Collaborate effectively with diverse teams across the organization to align efforts, share knowledge, and drive the successful execution of projects.
- Leverage digital platforms and technological tools to improve processes, enhance customer interactions, and effectively communicate with stakeholders.

Required qualifications, capabilities, and skills

- Demonstrated ability to conduct data analysis and interpret complex data sets, with proven expertise equivalent to 1+ years of relevant experience
- Computer literacy and digital proficiency to provide quality service to customers through continuous communication and strong analytical skills
- Understanding of software delivery lifecycle and have skills in industry standard methodologies and related tasks.
- Undergraduate degree in Business, Finance, Mathematics, or related field
- Programming skills in SQL is a must for this position
- Microsoft Excel skills (pivot tables, macros, look-up functions, etc.)
- Proficient with other Microsoft Applications (PowerPoint, Access, Visio, Word)
- Ability to organize and analyze complex financial data in a fast-paced environment
- Problem solving, good critical thinking, and decision-making skills
- Understanding of Business Process/modeling concepts
- Leverage creative analytical problem-solving skills while using large data sets from a broad range of sources

Preferred qualifications, capabilities, and skills

- Domain experience in fraud detection / anomaly detection
- Proficiency with querying enterprise databases using SQL to obtain relevant data for analysis
- Experience with Python or R to perform statistical analyses
- Strong analytical and communication skills
- Experience working in Amazon Web Service cloud environment, Alteryx, Python or other BI Tools
- Curious mindset in order to get to the root cause to solve complex analytical problems in a fast paced environment
- Experience in technology/process release management, with proficiency in using software applications, digital platforms, and other technological tools to solve problems and improve processes.

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