Risk & Financial Advisory Analyst - Analytics

Risk & Financial Advisory Analyst - Analytics - 8B Education Investments | Career Page

Risk & Financial Advisory Analyst - Analytics

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Job Openings Risk & Financial Advisory Analyst - Analytics

About the job Risk & Financial Advisory Analyst - Analytics

Our partner firm’s Analytics practice develops data analysis plans, innovative analytics strategies, develops and assesses agency models, and designs and implements a variety of solutions that help clients address challenging business issues.

Sample analyst responsibilities may include

• Querying and analyzing small and large data sets to discover patterns and deliver meaningful insights
• Creating, managing, and utilizing structured and unstructured data stores
• Performing current state assessment of client analytics and data management capability
• Developing system requirements, designing and prototyping, testing, training, and defining support procedures and implementation
• Mapping data flows and identifying optimal design, architecture, and governance options as well as potential data quality risks
• Assessing and strengthening our clients’ data risk management and controls environments
• Developing business solutions leveraging emerging automation, cognitive, visualization, and machine learning tools and understanding how these solutions can be deployed within the Cloud
• Developing and assessing client models; valuing financial instruments; and helping clients navigate governance, regulatory, control, and reporting requirements across a range of sectors
• Assisting our clients with the development and implementation of data-driven strategies for regulatory compliance and surveillance
• Assisting our clients to understand risks and develop necessary compliance and surveillance structures for extended enterprise and IOT environments

Who You Are

• Proficiency in verbal and written communication skills essential to interacting with clients and teams
• Ability to work independently and manage multiple projects/assignments/ responsibilities in a fast-paced environment
• Prior experience working with and managing data sets, including extraction and merges from source systems, transformation, and providing preliminary descriptive analytics
• Problem solving and critical thinking skills
• Ability to quickly and concisely research and collect data from unique places
• Ability to synthesize data and convey information in a meaningful way

Knowledge & Experience

• Undergraduate or Master’s degree in one of the following majors with relevant analytics or data management focused coursework desired:
• Technology: Data Analytics, Computer Science, Management Information Systems
• Business: Economics, Econometrics, Quantitative Finance, Finance, Accounting, Business Analytics
• Math/Engineering: Industrial Engineering, Computer Engineering, Financial Engineering, Math, Statistics, Actuarial
• Travel up to 100% may be required dependent on role and location (this has/ will be adapted for COVID-19 travel restrictions)

Awesome To Have

• Strong academic track record (GPA of 3.2 or above)
• Familiarity with a variety of analytics tools and programming languages such as, but not limited to:
• Microsoft SQL Server, Oracle, Mongo Db
• Languages (e.g., SQL, Java, JavaScript, jQuery, AJAX, C#, C++, VBA, VB.Net, ASP.Net, HTML, SAS)
• Reporting Tools (e.g., Business Objects, Reporting Services)
• Big Data Tools (e.g., Hadoop, Hive, Pig, Impala, Mahout)
• Machine Learning/Cognitive (e.g., Python, Mahout, CognitiveScale)
• Predictive Analytics/Data Mining: (e.g., IBM SPSS, SAS Enterprise Miner, RPL, Python, Matlab)
• Data Visualization Tools (e.g. QlikView, Tableau, Power Bi)
• Financial Tools (e.g. NumeriX, Bloomberg, FinCad, Monte Carlo simulation tools

Diversity Commitment

All our partners are focused on building diverse and inclusive teams. They welcome people of all backgrounds, experiences, abilities, and perspectives and are equal opportunity employers. They do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

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