Assessing a portfolio of bank processes - including underlying data, flows, and controls
Designing and implementing modular, reusable software solutions to enhance Global Risk Management’s (GRM) capabilities in data, analytics and testing
Delivering timely, efficient, useful, and actionable independent insights into the operational health of these processes across domains and testing portfolios
Collaborating with senior process owners, risk managers, and technologists to assess processes, underlying data, flows and risks, and to design the future state of data, analytics and testing
Building deep subject matter expertise in bank processes and data across domains
Applying a combination of software engineering, big data and risk management skills to automate the evaluation of processes and control effectiveness for a portfolio of processes
Ensuring that the testing portfolio has comprehensive coverage across applicable laws, regulations, policies, and procedures
Requirements
Bachelor’s degrees or above in fields including but not limited to: Mathematics, Computer Science, Statistics, Process and Mechanical Engineering, Operations Research, Data Science (or equivalent work experience)
At least 7 years of relevant experience in software engineering in Quantitative Finance or other industries
Advanced programming skills (e.g. Python) and solid understanding of Software Development Life cycle (SDLC) principles
Proven track record of seamlessly leading and executing enterprise-wide initiatives
Strong ability to document and clearly articulate the rationale and impact of technical solutions to a wide range of audiences
Demonstrated experience in at least three (preferably more) of these following areas:
- Leading complex analytical and problem-solving initiatives
- Applying advanced quantitative methods such as modeling, data analytics, machine learning, and statistics to solve business problems
- Deep knowledge of financial services industry and regulatory frameworks
- Engineering solutions for large-scale structured and unstructured data sets
- Driving process improvements and automation across business and technology functions
Benefits
industry-leading benefits
access to paid time off
resources and support to our employees so they can make a genuine impact and contribute to the sustainable growth of our business and the communities we serve.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
PythonSoftware Development Life Cycle (SDLC)data analyticsmachine learningquantitative methodsmodelingautomationsoftware engineeringbig dataprocess improvement