Lead Data & Analytics Engineer
Role details
Job location
Tech stack
Job description
The Business Analyst will lead the requirements gathering and definition of capabilities and features for a user interface within the Firmwide Data Catalog that is pivotable to enabling business and technology teams to meet multiple business outcomes, such as data flow and data risk reduction.
The capabilities of our products enable several data governance outcomes to be met and includes core engineering work to integrate various applications to central Firmwide Data Catalog and Data Quality controls. The candidate will lead discussions to understand needs of stakeholders and translate these into capabilities/features to be delivered through squads, and advocate for the adoption of the product across the firm.
Cyber Data Risk and Resilience (CDRR) The Cybersecurity organization's mission is to create an agile, adaptable organization with the skills and expertise needed to defend against increasingly sophisticated adversaries. This will be achieved by maintaining sound capabilities to identify and protect our assets, proactively assessing threats and vulnerabilities and detecting events, ensuring resiliency through our ability to respond to and recover from incidents and building awareness and increase vigilance while continually developing our cyber workforce.
Firmwide Data Office The Firmwide Data Office team is distributed globally between New York, London, Budapest, India, and Shanghai; and are engaged in a wide array of projects touching all business units (Institutional Securities, Investment Management, Wealth Management) and functions (e.g., Operations, Finance, Risk, Trading, Treasury, Resilience) across the Firm. The team vision is a multi-year effort to simplify firm's data architecture and business processes front-to-back with goals of reducing infrastructure and manpower costs, improving the ability to demonstrate control of data, empowering developers by providing consistent means of handling data, facilitate data-driven insights & decision making, and providing a platform to implement future change initiatives faster, cheaper, and easier., o Identify capabilities/features to meet needs of the customer, translate into user stories. o Stakeholder management (across divisions, programs, and fleet) and understand/advocate the relative priority of capabilities/features for the product. o Collaborate with squad to refine user stories and shape solutions. o Leading Product Reviews to share advancements in the product and to collect 'voice of the customer' feedback. o Present requirements/business design into decision making forums to govern decisions. o Guide and mentor junior BAs within the team. o Ensure consistency and interoperability of their product with other products in the platform. o Knowledge sharing with our global team. o Maximizing the product's value; ensure measurable adoption of new capabilities and features. o Publishing documentation, guidance, and training for the product.
This role offers the opportunity to - o Participate in transforming the firm towards a Data Driven culture. o Build relationships and influence senior stakeholders across the firm. o Develop domain expertise in Data Governance and Enterprise Metadata Management. Qualifications Must have:-
Requirements
The successful candidate will be a highly motivated team player with acumen towards solving problems., > 8+ years of Career experience as Technical Business analyst along with Financial Services industry experience with a solid understanding of Capital Markets/Banking/ Finance domain.
Ability to conduct data analysis to make data driven decisions. Understanding of methods used by systems to communicate/transfer data (e.g. databases, APIs, files, message queues). Ability to create detailed user stories, working with users and squad to refine stories. Strong problem-solving skills, business acumen, and demonstrated excellent oral and written communication skills with both technical and non-technical audiences. Agile software development practices, TDD, Continuous Integration.
Good to have:-
Experience on Data Governance - Concepts, Policies and Principles. Certifications relevant to Agile Practices (e.g., Certified Scrum Master) Certifications relevant to Governance, Modelling, Architecture Experience in any metadata management tools, such as Collibra. An understanding of regulatory standards like BCBS, GDPR etc.