Business Analyst – Wholesale Banking – Netezza/ SAS/ Python
Do you seek challenges and personal development opportunities, and have the courage to make a difference? Are you a motivated, flexible, creative team player with perseverance, excellent multi-tasking abilities and a proven track record for meeting strict deadlines? Then, Apply Now!
Working with one of the top financial clients, this role calls for a Business Analyst – Wholesale Banking – Netezza/ SAS/ Python who will be Providing subject matter expertise on Wholesale/Retail Credit Risk data, data processes and management systems. The successful candidate will be assisting in the system development and perform comprehensive testing end to end to ensure technology deliverables fulfill business requirement.
Responsibilities:
- UAT testing. Ability to perform detailed testing & document said testing procedures effectively
- Perform in-depth data analysis and investigation;
- Supporting requirement gathering by extracting information from SAS and Python data processes;
- Identifies and documents the business partner’s functional and data requirements based on a business process description to ensure that the final deliverable coincides with the context of the business operations
- Manages and documents the translation of business needs into requirements to communicate to the project team activities, resources, and deliverables necessary to meet business objectives
- Participates in investigations, interviews, and formal or informal requirements-gathering sessions to understand stakeholder needs
- Recognizes discrepancies between business needs and deliverables when reviewing and validating requirements and communicates these discrepancies to stakeholders to ensure that they understand and either accept these discrepancies or identify a need to change project direction
- Analyses problems for senior management change management teams, and business partners in order to identify the approach and solution options for the given problem; this includes collaborating with project teams to resolve road-blocks, performing solution proof-of-concept (POC), and examining third-party product offerings
- Provides application design and development costing estimates to senior management that are used in determining business initiative feasibility and priorities and/or used by the bank’s Project Managers for project planning
- Review project documents (e.g., High-Level Requirements Documents [HLRD], High-Level System Design Documents [HLSD], and application code) received from other Technical Specialists, Business Technical Specialists, and Project Managers to ensure quality, completeness, and adherence to Capability Maturity Model Integration (CMMI) documentation standards, as well as identify synergies between project initiatives in order ensure the efficiency and effectiveness of the development process
- Provides business/technical and application expertise to senior management and project teams, including the areas of governance methodologies and processes, for purposes of ensuring the architecture and applications are consistent with the design framework, Enterprise/industry standards, and the client’s strategic direction
- Provides business/technical coaching to team members on design patterns, development processes, and application functions to improve their technical skills
- Manages operational aspects of governance forums to ensure meeting productivity
- Provides analytical support and insights
Desired Skill Set:
- 5-7 years of data analysis experience – working on a large database
- Strong experience with business system analysis in a complex data warehousing environment running on Netezza, IPS and Cloud
- Strong experience gathering business requirements from client groups and lines of business and converting these into functional specification documents
- Proficient using SQL statements to query data and perform data profiling and data verifications – 5-7 years
- Ability to do data modeling and perform data mapping
- Exhibits sold knowledge of databases and data warehouse
- Possesses solid business knowledge in the Finance/Banking industry
- Experience with Netezza, SAS, Python and Cloud AWS
- University degree in Data Science, Engineering, Information Systems and/or Business
Nice To Have:
- Prefer FI experience on Wholesale credit risk model data
- Experience building data warehouse environments from conception to production (full project lifecycle in Waterfall approach and Agile approach)
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