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Morgan Stanley is a leading global financial services firm providing a wide range of investment banking, securities, investment management and wealth management services. The Firms employees serve clients worldwide including corporations, governments and individuals from more than 1,200 offices in 43 countries.
The talent and passion of our people is critical to our continued success as a firm. Together, we share four core values rooted in integrity, excellence and strong team ethic:
1.Putting Clients First
2.Doing the Right Thing
3.Leading with Exceptional Ideas
Morgan Stanley is committed to helping its employees build meaningful careers and we strive to be a place for people to learn, achieve and grow.
Firm Risk Management
Firm Risk Management (FRM) enables Morgan Stanley to achieve its business goals by partnering with business units across the Firm to realize efficient risk-adjusted returns, acting as a strategic advisor to the Board and protecting the Firm from exposure to losses as a result of credit, market, liquidity, operational, model and other risks.
Our mission is to serve as the follow roles:
Independent agent to set consistent principles and disciplines for risk management
Strategic advisor to Firm management for setting risk appetite and allocating capital
Industry leader to influence and meet regulatory standards
You will collaborate with colleagues across FRM and the Firm to protect the Firms capital base and franchise, advise businesses and clients on risk mitigating strategies, develop tools and methodologies to analyze and monitor risk, contribute to key regulatory initiatives and report on risk exposures and metrics to enable informed and strategic decision-making. Through thoughtful analysis and clear communication we are best able to bring our ideas to the table and improve the Firm.
Firm Risk Management values diversity and is committed to providing a supportive and inclusive workplace for all employees.
Firm Risk Managements unique franchise promotes:
Flat, flexible and integrated global organization
Collaboration and teamwork
Credible, independent decision-making
Creative and practical solutions
Meritocratic and diverse culture
The Morgan Stanley Baltimore office is a critical component of the Firm`s Global footprint and has 1,400 employees that provide support and services to the Investment Banking, Securities, Investment Management and Wealth Management Businesses.
Our office at Thames Street Wharf is located in the heart of Baltimores Inner Harbor.Additionally, the Firm recently expanded downtown and occupies two floors at 100 South Charles in the new, up and coming neighborhood of Harbor Point, adjacent to historic Fells Point.
Operational Risk Management works with the business units and control groups to help ensure Morgan Stanley has a transparent, consistent and comprehensive program for managing operational risk, both within each area and across the firm globally. Operational risk is the risk of financial loss or other potential damage to the firms reputation due to inadequate or failed internal processes, people, systems, or from external events. This group designs, implements and monitors the company-wide operational risk program.
Background on the Position
Morgan Stanley Operational Risk Department (ORD) is seeking a Data Analyst / BI Developer to join the Operational Risk Intelligence and Analytics (ORIA) team.The team focuses on the development and implementation of business intelligence data and analytics solutions to support Firm Operational Risk Management. The tools that you develop will synthesize data across the operational risk landscape in order to support more insightful risk management assessments and decisions. The ORIA team is a hybrid business and technology team comprised of both business analysts and BI developers with members in New York and in Budapest, Hungary. The role will require global collaboration on initiatives while working closely with the risk managers, technology service providers and key stakeholders.
Design and develop Operational Risk business intelligence dashboards and data analytics solutions using industry standard toolsets such as Tableau or Cognos
Translate complex business requirements into creative yet impactful dashboard designs using industry best practices
Collaborate with business analysts and stakeholders to define business requirements, perform functional specification reviews, creation of test plans, and assist with testing coordination and signoffs
Participate in project working groups, requirement workshops and meetings
Participate in IT sprint planning sessions and project prioritization sessions when applicable
Provide data analytics expertise for ad hoc exploratory data initiatives as needed
Ensure key risks and issues are identified, documented, mitigated and communicated to the appropriate stakeholders or business analyst in a timely manner
Provide pre and post implementation support, including dashboard maintenance and user education
Self-starter who possesses an intellectual curiosity and desire to contribute to innovative data solutions in a dynamic global team-focused environment
3+ years of development experience with business intelligence toolsets such as Tableau, Cognos or QlikView
Knowledge of dashboard design concepts and best practices
Significant experience with relational databases and data models
Excellent knowledge of SQL and the ability to query complex data sets within a relational database
Experience in participating in all stages of a project lifecycle, including planning, requirements gathering, analysis, designing, documentation, testing and rollout
Ability to manage multiple projects utilizing industry standard project management practices
Strong analytical aptitude with a conscientious attention to detail
Excellent communication skills, both verbal and written, and an ability to present ideas concisely and persuasively
Capable of applying communication skills to various levels of audiences and to both business and IT
Knowledge of Python or R programming languages
Knowledge of Operational Risk management framework
Knowledge of general risk management concepts including statistics, stress testing and scenario analysis is a strong plus
Experience with semantic databases and ontology models
Experience within a financial institution or consultancy
Experience with Agile methodology
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