Business Data Analyst - Risk , Hadoop, Python,Credit or Market Risk, CCAR

Description:

Enterprise Risk Finance Technology's Global Risk Analytics team is searching for a talented, seasoned and highly motivated Business Analyst.

Programs focus on building the next generation model development and execution platform including data sourcing.

This platform will leverage a host of interesting technologies including Spark and Hadoop and utilize a unique, user-configurable, workflow-driven, model execution approach.

Programs include data sourcing as well migration of models away from existing platforms to the target platform.

This is a multiyear effort in a business-critical domain.

Global Risk Analytics (GRA) is responsible for developing analytics to support risk modeling activities across all lines of business at the Bank.

Uses include CCAR, CECL, IFRS 9 and other regulatory and management reports.

Proficiency in OO concepts and understanding of distributed web applications using REST API; Python, RDBMS (Exadata); exposure to big data framework like Hadoop.

Basic Unix OS skills and Shell scripting; Agile methodology (hands on experience in Epic and Story writing) ; experience working in Risk domain is preferred

Minimum of 5-7 years of applicable experience.

Understand business requirements and lead analysis and translation into technical requirements including budgeting and technical documentation

Review technical designs with the development team and ensure it meets the business partner requirements and is a scalable solution to meet longer term strategy

Key contributor in Agile routines including sprint and capacity planning, prioritizing tasks for releases, back-log maintenance

Review initial testing/analysis of implementation/results to ensure the accuracy of implementation

Ability to work with GRA business partners and development and QA teams on planning and prioritization including capacity constraints

Provide support for business partners in required user acceptance testing

Identify and manage cross project or functional interdependencies

Deliver timely and accurate weekly status reports on projects

Identify success metrics and review performance with business partners and leadership

Understanding of credit or market risk, CCAR, Macro Economics or the management of Macro-Economic data.

Familiarity with Python

Prior experience working within Global Risk Analytics Technology team and/or other Risk Technology teams a plus

High level understanding of Client Enterprise Change Standards is a plus

As an equal opportunity employer, ICONMA provides an employment environment that supports and encourages the abilities of all persons without regard to race, color, religion, gender, sexual orientation, gender identity or express, ethnicity, national origin, age, disability status, political affiliation, genetics, marital status, protected veteran status, or any other characteristic protected by federal, state, or local laws.