Requirements
- Strong understanding of investment banking products as well as trade life cycle.
- Strong understanding of regulatory frameworks applicable to investment banks.
- Strong understanding of data governance frameworks applicable to investment banks.
- Experience in working on large-scale regulatory data projects in the investment bank in requirements gathering as well as in data analysis and modelling.
- 8+ years’experience as a business analyst, detailing functional and non-functional requirements.
- 3+ years’ experience in developing and optimizing data models with industry standard tools as well in implementing data quality rules.
- Deep understanding of relational databases, data warehouse design, and ETL or ELT processes.
- Proven experience in SQL, Excel and Python for data analysis and validation.
- Define and execute test cases to validate data outputs as well as assist in User Acceptance Testing (UAT).
Desirable skillsets / good to have:
- Strong communication and presentation skills, with ability to convey complex concepts to both technical and non-technical audiences.
- Excellent problem-solving skills and attention to detail.
- Ability to work under pressure and manage multiple priorities in a fast-paced environment.
- Knowledge of data visualization tools (e.g., Tableau, Power BI).
- Familiarity with cloud-based data platforms (e.g., AWS, Azure, or GCP).
- Familiarity with big data technologies like Apache Spark, Starburst, Iceberg, DBT, object store, Databricks and Airflow.
- Professional certifications such as CBAP (Certified Business Analysis Professional), TOGAF, or DAMA-CDMP (Certified Data Management Professional) is a plus.
- Experience with Agile project management methodologies (e.g., Scrum, Kanban).
This role will be based out of Nirlon Knowledge Park / Altimus office, Mumbai.
Purpose of the role
To design, develop, and implement solutions to complex business problems, collaborating with stakeholders to understand their needs and requirements, and design and implement solutions that meet those needs and create solutions that balance technology risks against business delivery, driving consistency.
Accountabilities
- Design and development of solutions as products that can evolve, meeting business requirements that align with modern software engineering practices and automated delivery tooling. This includes identification and implementation of the technologies and platforms.
- Targeted design activities that apply an appropriate workload placement strategy and maximise the benefit of cloud capabilities such as elasticity, serverless, containerisation etc.
- Best practice designs incorporating security principles (such as defence in depth and reduction of blast radius) that meet the Bank’s resiliency expectations.
- Solutions that appropriately balance risks and controls to deliver the agreed business and technology value.
- Adoption of standardised solutions where they fit. If no standard solutions fit, feed into their ongoing evolution where appropriate.
- Fault finding and performance issues support to operational support teams, leveraging available tooling.
- Solution design impact assessment in terms of risk, capacity and cost impact, inc. estimation of project change and ongoing run costs.
- Development of the requisite architecture inputs required to comply with the banks governance processes, including design artefacts required for architecture, privacy, security and records management governance processes.