Job Title: Business & Process Mining Analyst

Education Level  : Bachelor's Degree

Experience Level : Level 4





Company Profile

Morgan Stanley is a leading global financial services firm providing a wide range of investment banking, securities, investment management and wealth management services. The Firm's employees serve clients worldwide including corporations, governments and individuals from more than 1,200 offices in 43 countries.

As a market leader, the talent and passion of our people is critical to our success. Together, we share a common set of values rooted in integrity, excellence and strong team ethic. Morgan Stanley can provide a superior foundation for building a professional career - a place for people to learn, to achieve and grow. A philosophy that balances personal lifestyles, perspectives and needs is an important part of our culture.



Technology

Technology works as a strategic partner with Morgan Stanley business units and the world's leading technology companies to redefine how we do business in ever more global, complex, and dynamic financial markets. Morgan Stanley's sizeable investment in technology results in quantitative trading systems, cutting-edge modelling and simulation software, comprehensive risk and security systems, and robust client-relationship capabilities, plus the worldwide infrastructure that forms the backbone of these systems and tools. Our insights, our applications and infrastructure give a competitive edge to clients' businesses—and to our own.



Team Profile (Data Center of Excellence)

The “Data Center of Excellence” department is recruiting for an enthusiastic and delivery focused business and process transformation analyst who will partner with other technology and business departments to develop and execute on a business process transformation strategy to streamlines front to back business processes and data architectures.

The team vision is a multi-year effort to simplify firm’s data architecture and business processes front-to-back with goals of reducing infrastructure and manpower costs, improving the ability to demonstrate control for data, empowering developers by providing consistent means of handling data and providing a platform to implement future change initiatives faster, cheaper and easier.

We are a relatively small, lean team of around 50 people, globally distributed between New York, London, Montreal and India and are engaged in a wide array of projects touching virtually every single vertical asset class and horizontal function within the Firm.



Responsibilities

• Work with technology and business stakeholders across different business lines or functions to understand their front to back business processes & data architectures, identify inefficiencies and opportunities for automation, apply process engineering & automation methodologies to achieve Business Transformation objectives

• Lead the evaluation, design, implementation, and management of innovative emerging digital technologies like Process Mining, Task Mining, Business Process Management & Optimization, Robotic Process Automation and beyond

• Perform business process analysis using process mining tools to create process maps, identify process variants & bottlenecks, and come up with meaningful insights about process

• Create data models, customer-specific dashboards and analysis to enable data-driven process impact assessment and recommendations for process optimization through use of enterprise modeling capabilities including but not limited to Process Mining

• Leverage strong technical focus and demonstrable experience of architecting technology solutions along with deep business knowledge to realize tangible business benefits through adopting the data strategy and architecture principles

• Lead Value Stream Mapping, Business Process Improvement & value creation workshops with stakeholders to understand current state business processes, business needs & challenges and translate them into process mining and transformation plans

• Create metrics & KPIs to measure and monitor current process performance as well as ongoing improvements

• Build business cases and ROI calculations, leveraging industry benchmarks and best practices



Requirements

• 6+ years of relevant experience developing applications/solutions for a global financial services institution

• 2+ years of extensive experience in designing and implementing large scale process transformation and automation solutions using one or more of the following methodologies – Process Mining, Task Mining, Robotics Process Automation, Process Mapping

• Experience in working with Business and Technology departments to develop and execute on a data strategy, design data architecture to solve data quality issues, eliminate data redundancy and streamline front to back data flows

• Demonstrable experience in utilizing strong business and technology skills to solve data-centric business problems

• Hands-on experience with SQL across different databases like Sybase, DB2, MS SQL Server

• Experience with Agile Software Development Lifecycle methodology and related tooling. For example -JIRA, Scrum, Kanban, Product backlog management, BDD using tools like JBehave or Cucumber etc.

• Strong problem solving skills, business acumen, and demonstrated excellent oral and written communication skills with both technical and non-technical audiences. Skilled in customer and leadership presentations

• Project and Program management experience



Desired Skills:

• 2+ years consulting experience with a top-tier Firm preferably in the financial services industry

• 1+ years of Process Mining or Engineering experience using Celonis

• 2+ years of BI, Data Management and Data Mining experience

• 3+ years of hands-on working experience with varied and complex data sets, building ETL (extract transform load) processes using scripting language like Python

• Experience working with various front-to-back groups like Sales and Trading, Quants, Operations, Finance, Treasury, Settlements, Documentation/Confirmations, Market Risk, Credit Risk, Liquidity Risk, Collateral and Margins; and understanding of data-centric issues that these groups face and possible solutions

• Understanding and experience with BPMN to model As-Is and To-Be business processes

• Demonstrated knowledge and skills in enterprise data management, data governance, data quality principles & methodologies

• Experience with data-centric tools and technologies around Data Lineage, Dictionaries, common data access APIs, golden source identification / master data management, ontology/taxonomy development, Data DevOps, Metadata management

• Understanding of and experience with Artificial Intelligence, Machine Learning and Natural Language Processing

• Experience with curating, organizing and classifying the data with appropriate concept models and developing taxonomies and/or ontologies in RDF/OWL or other formal knowledge representation systems