Risk & Data Analyst

Key Responsibilities:

Serve as the main liaison between users and the product/development teams to design and manage financial forecasting (M+) executions in Production and UAT environments
Work directly with users and manage the pipeline of execution requested by them to support, but not limited to, DFAST, Capital Forecasting, and Annual Business Plan processes.
Gather and manage the necessary inputs for these executions.
Execute technical processes for forecasting and provide timely status updates to users.
Monitor System’s Execution in Production.
Use automated and other tools to detect any problems in the operational environment for mission critical processes.
Periodically provide production support during evening and weekend shifts (Rotation process is in place within the team for coverage during these hours, and total hours are not expected to exceed normal weekly hours).
Proactively communicate with technology and business to resolve operational problems.
Implement automation requirements and other technical enhancements.
Gather and communicate patterns/trends in application performance to key stakeholders.
First-line Requirements Validation.
Validate output generated by our applications using various state-of-the-art tools.
Actively seek opportunities to continuously improve the quality of systems and processes.
Assist in the development process for minor enhancements and updates to surveillance application
Analysis and Communication.
Perform designed or ad-hoc analysis in a rapidly changing and moving environment to support various stakeholders.
Clearly craft and articulate messages (both written and verbal) related to Finance and Technology to a variety of audiences.
Seek and design ways to automate tasks; ideally using Python or other programming languages. 

Key Requirements and Technology Experience:

Key Skills; Python, SQL, Forecasting
Must Haves: Pulling and writing Python Scripts, SQL, Excel Analysis- Having a technical background is a plus, hands on development experience would be a huge plus.
There will be a huge emphasis on communication, both written and verbal.
Daliy risk and forecasting were two major components of role.
Risk Matrix, Pricing, PNL and reporting where the 4 major areas candidates should have worked on.
4+ years of work experience.
4+ years of experience with analytical tools: SQL, Python, Excel, and similar.
Proven ability to perform analytical tasks.
Ability to analyze large datasets.
Ability to work on weekend and evenings for one week a month is necessary (on-call).
Experience in interfacing with and/or supporting mission-critical applications or tasks.
MS in Data Analytics, Finance, Computer Science, or similar technical field.