The Northern Trust Company seeks a Manager, Reconciliations to develop and implement financial technology solutions driven towards process optimization to achieve Year-over-Year (YOY) optimization goals. Apply business process reengineering techniques to identify gaps in the current processes and recommend solutions to streamline business functions. Evaluate capacity planning strategies and insights to span process improvements, organizational changes, and functional strategy efforts. Perform comprehensive research on complex financial and accounting processes using data mining, value stream mapping, and statistical modeling. Architect and implement robotics solutions across business lines to automate repetitive rule-based processes on accounting and financial systems. Architect automated complex mathematical models utilizing Machine Learning algorithms to analyze financial transaction trends and predict the future behavior of transaction types that enable straight through processing across platforms. Apply quantitative research methods, predictive analytics, and statistical process control techniques to analyze reasons for exceptions and implement complex automation solutions. Review process and solution designs, algorithms, implementation and project plans, WBS, and KPIs for all the initiatives undertaken by the Continuous Improvement function. Oversee product developments and the quality, performance, output and delivery to achieve a consistent high standard of solutions to the requirements.
Position requires a Master’s degree in Computer Science, Information Systems, Engineering, Business Administration, or a related field, and 2 years of experience with optimizing financial and accounting processes and systems. Experience must include a minimum of: 1 year of experience with architecting hybrid accounting and financial computing solutions and models using programming languages, including C++, Python, Shell scripting, VB.NET, and VBA; 1 year of experience with using SQL for data mining and analysis of large data sets; 1 year of experience with robotics and machine learning; 1 year of experience with building automated financial and accounting solutions; and 1 year of experience with utilizing machine learning algorithms such as linear regression, logistic regression, neural networks, and random forest on large datasets.
Job location: Chicago, IL. To apply please visit and enter job code 19143 when prompted. Alternatively, please send your resume, cover letter, and a copy of the ad to F. Cooper, Recruiting Consultant, 50 S. LaSalle Street, Chicago, IL 60603