#3245834
n the Strategic Program Execution (SPE) team. This role sits at the heart of the SPE strategy in the Cyber Data Risk and Resilience (CDRR) division. The qualified candidate will bring their advanced expertise in data mining, analytics and visualizations, and critical thinking to the Cross Divisional Program. Business engagement and business enablement are fundamental to success.
In this function, data manipulation and cleansing, quality control, proficiency in cleaning and preparing data for analysis, including handling missing or inconsistent data, will be required of a multitude of large datasets with varying types and formats. Data visualization is subsequently pivotal to crafting the applicable message to the right audience. The ability to create visual representations of data using Morgan Stanley tools, advanced skills in designing charts, graphs, dashboard to convey insights effectively are required. Timeliness, attention to detail, and ensuring data accuracy are key to storytelling, such that meticulous data quality checks are necessary to ensure consistent integrity of the data is maintained throughout.
A successful candidate uses analytical and critical thinking. They are equally comfortable working independently and collaboratively. They have strong problem-solving skills with the ability to interpret complex datasets, and excel in identifying trends, patterns and anomalies in the data, particularly essential when dealing with disparate datasets. They have capacity to assess situations objectively and evaluate data from different perspectives. They are balanced with a confident can-do attitude but are not a 'yes-person.' They are skilled in questioning assumptions and validating data driven conclusions. They are customer focused not only crafting the data message, but also in engagement model. They are a self-starter, planner, and are execution and delivery focused. The qualified candidate understands the importance of establishing themselves as a reliable 'source of truth,' building relationships and partnering across a range of contributors. Given the impact of this role, commitment to data integrity and data interpretation are keys to success, and a good sense of humor never hurts.
Skills Required:
Advanced Microsoft Excel for data mining, analyses, and modeling
Strong Microsoft PowerPoint for visualization and storytelling
Strong ability to interpret complex datasets, questioning assumptions, validating data driven conclusions while ensuring data integrity throughout
Strong analytical thinking, critical thinking, and problem solving
Strong ownership model
Commitment to deliver high quality work
Identifies opportunities to streamline, automate, and/or (re)defines processes to realize efficiencies
Exercises pragmatism and an out-of-the-box approach
Must be extremely detail-oriented and very organized
Exceptional verbal and written communication skills, including effectively articulating an audience appropriate message clearly and concisely
Proficiency in self-prioritization; Effectively balances day to day demands
Fast learner
Adaptable
Strong time management skills
Natural curiosity
Sense of humor
QUALIFICATIONS
Skills Strongly Desired:
Excellent customer service
Ability to anticipate
Jira
Jive
Tableau
PowerBI
Experience with Business Enablement, Cyber Security, Risk Management, Project Management
Drives value by drawing succinct correlation between controls, risks, and mitigations to product roadmaps, and facilitating course correction as needed
Excels in a fast-paced dynamic work environment.
Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximise their full potential. Our skilled and creative workforce is comprised of individuals drawn from a broad cross section of the global communities in which we operate and who reflect a variety of backgrounds, talents, perspectives, and experiences. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting, developing, and advancing individuals based on their skills and talents.