Manager – Senior Data Analyst GSC’s

Job description

Job description

Business: Data Analytics Office

Open positions: 1

Role Title: Manager – Senior Data Analyst GSC’s

Global Career Band: 6

Location: India / Bengaluru

Recruiter Name: Sowmya Basavaraju

Why join us?

·  Entity Maintenance (EM) is part of Data and Analytics Office (DAO) is responsible for set-up and maintenance of Client Entity Reference data and client unique identifiers in ERDS (Entity Reference Data System) Golden Source system. This involves setting up, independently validating the client legal entity status, and maintaining up to date client information for the Global Banking & Commercial banking (CMB) line of business.
·  The function leverages globally consistent operating principles and a standard service proposition to deliver high-quality client data and its ongoing maintenance throughout the client life cycle with HSBC. The function operates globally as one integrated team with to provide service across the group.
·  The function supports the onboarding process by undertaking initial client entity legal verification and then subsequently setting up trading accounts and loading settlement instructions. The function is supported by a hub-spoke model, whereby teams undertake all the processing work for over 56 countries and onshore hub provides business relationship management and support. Given the nature of the data function maintains, the team is also supporting client data readiness for Global Standards, various regulatory demands impacting GBM business including client off boarding.

The Opportunity:

HSBC Data & Architecture Office (DAO) promotes a data-driven culture across HSBC through our strategy of:

·  Protect:  To protect our data we need robust policies for data management and enhanced governance e.g., data that is consumed from a trusted source, meets quality standards, and complies with regulatory obligations.
·  Connect:  Move to a data-led culture through enhanced training including on the job opportunities. Our talent is the glue between protecting our data and unlocking value for our customers.
·  Unlock.  Value is unlocked when we deliver on the opportunities our well-managed data presents e.g., improving customer / colleague experience, increasing revenue, commercializing our data, optimizing capital, enhancing risk management, or reducing costs.  

Role purpose

·  The Senior Data Analyst primarily supports the Connect pillar of the strategy and is critical for supporting the department strategy of ensuring client data is always fit for business consumption. The Entity team undertakes Legal Entity Verification, Input and Approval in ERDS Tool. It also actively participates in data readiness projects to support the group wide program. This covers all Global Banking, Global Markets, Commercial Banking Client (utilizing Global Markets Products), Prime Services (PS), Funds and Strategic clients across geographic locations.
·  The role is that of a Domain / Subject Matter Expert which will support the AVP / VP in driving process and department level agenda. The individual will need to work quite independently without day-to-day supervision, strong interpersonal skills and ensure that the team is aiming to improve data quality and building strong data capability within the team.

Governance and Committee Memberships 

·  Nil breaches on conduct, data, and Information Control policy within the process. Immediate escalation on control failures and issues identified, followed by timely DES submission.
·  Nil misses on regulatory reporting (BCAN, HKMA, EMIR, etc.).

What you’ll do:

Principal Accountabilities and Responsibilities

Key responsibilities include some of but not limited to:

·  Establish and maintain relationships with business units / managers for managing day-to-day business.
·  Periodic review of SLAs to match the changing dynamics of business.
·  Actively participate and engage stakeholders from all businesses such as GBM, CMB, KYCS, etc with regular business calls and ensure weekly / fortnightly progress updates are provided to all ahead of calls & all discussion points and circulated in a timely manner.
·  Manage expectations in line with business requirements and ensure deliverables are agreed based on prioritization matrix and internal approvals.
·  Clearly define the entity data maintenance service offering for full on-boarding and partial services.
·  Work collaboratively with Peer managers & maintain highly effective resource / people management techniques are implemented to ensure highest level of quality and productivity of team/s.
·  Maintain / Enhance business focused metrics to facilitate transparency.
·  Proactively identify opportunities for Reference Data table adoption & consumption, towards alignment of data policies and standardization.
·  Timely escalation and communication of any identified issues while on-boarding or maintaining data.
·  Capacity Management - Increase capacity to cater to higher volumes and/or superior service and improved quality in a reduced turnaround time.
·  Define current benchmarks to show case improvements.
·  Review / prepare weekly, monthly MI, PMI, adhoc reports / control decks and prepare action plans to mitigate or negate inherent risks / and enhance controls.
·  Ensure the team fully participates in idea generation, UAT, testing and release management until BAU.
·  Build a culture of process improvement. Take Entity Maintenance up the value chain.
·  Lead from the front for large scale transformation projects linked with organizational strategy and future fit Industry best in class business models.
·  Identify process/operational/organizational changes which will improve the current environment from a quality or efficiency perspective and execute on those changes.

Leadership & Teamwork  

·  Candidate would need to represent the department as the lead SME for the business not just limited to operations, data quality, data governance, ideation.
·  Continually seek to improve organizational efficiency by reviewing the operating process and implementing change where possible.
·  Build functional capability of the team. Deliver an efficient and effective operations.
·  Create and retain the culture of “one team” within and across sites.
·  Resolve all local operational issues in coordination with the site local management.
·  Motivate and develop team members to meet business objectives.
·  Create an environment where the staff fully understands cross-functional environment & needs.
·  Lead and motivate staff with widely differing aspirations working in a productivity-based environment, where timelines are critical.
·  Identify & develop the team members to lead the relevant function as a part of their career development plan.
·  Train and invest in people to help them adopt the new service culture.
·  Review and set objectives for all staff in consultation with the AVP / VP.
·  Actively participate and promote Center Wide CSR activities.
·  Develop staff to achieve business / individual goals, sharing knowledge and experience and aiding on referred issues.
·  Ensure performance management scheme / reviews / discussions is implemented consistently and on a timely manner in accordance with policies & procedures and in coordination with the management.

Requirements

What you will need to succeed in the role: 

·  Proven experience within the Data and Analytics space with awareness of industry data standards.
·  Good understanding of the Data Management Framework and all verticals (Data Governance, Data Quality, Data Privacy, Data Security, Data Ethics etc.) within Data Management Charter.
·  Knowledge of Business Architecture & analysis, requirements engineering, product backlog management, structured analysis, and process mapping.
·  Structured analytical problem-solving skills, able to breakdown complex problems and find solutions.
·  Ability to synthesize / analyses diverse information, develop recommendations and make decisions.
·  Strong Planning, execution, and Organisational skills. 
·  Understands and effectively uses established policies and procedures.
·  Excellent interpersonal communicating skills, bridging technology and business teams, ensuring clarity of requirements to key partners at all levels.
·  Competent in the use of data technology to solve complex business problems and user acceptance testing with hands on expertise in use of SQL, Python, Microsoft Excel.
·  Demonstrate ability to challenge status quo, innovate and recommend change.
·  Dedication to fostering an inclusive culture and value diverse perspective.
·  Ability to effectively communicate and implement group policies and procedures.

What additional skills will be good to have?

·  Prototyping, experimentation, development, and implementation of various analytical techniques using tools such as SQL, Python, Qliksense.
·  Cross-disciplinary skills to lead data exploratory analysis, run POCs and prototypes, having a comprehensive understanding of the end-to-end data lifecycle.
·  Experience in engaging with and communicating to technical and non-technical audiences and capable of identifying the best data solution to solve business problems.
·  Broad understanding of different analytical techniques (e.g., NLP, Optimisation, Classification, regression) and data types (structured, unstructured, semi-structured) and their utilisation.
·  Strong quantitative background e.g., Mathematics, Statistics and Probability and be able to perform complex queries using Data Science tools.

You’ll achieve more at HSBC.

HSBC is an equal opportunity employer committed to building a culture where all employees are valued, respected and opinions count. We take pride in providing a workplace that fosters continuous professional development, flexible working and, opportunities to grow within an inclusive and diverse environment. We encourage applications from all suitably qualified persons irrespective of, but not limited to, their gender or genetic information, sexual orientation, ethnicity, religion, social status, medical care leave requirements, political affiliation, people with disabilities, colour, national origin, veteran status, etc., We consider all applications based on merit and suitability to the role.”

 

Personal data held by the Bank relating to employment applications will be used in accordance with our Privacy Statement, which is available on our website.

***Issued By HSBC Electronic Data Processing (India) Private LTD***