Vista previa generada por IA
Senior Associate – Client Success in Bengaluru/Gurgaon, balancing UK and US shifts.
Hands‑on RDBMS expertise (PL/SQL, T‑SQL), API and SFTP support, with focus on AI adoption and client‑centric success.
Role Title:
Senior Associate- Client Success
Location :
Bangalore/Gurgaon
Working Hours:
UK (13:30-22:30 IST / 15:00-00:00 IST) and US hours (17:30-02:30 IST / 18:30-03:30 IST [DST]), rotational UK/US shift
Years of Experience:
7-10 years
Role Purpose :
Join a dedicated Client Success team to support business-as-usual activities and future business initiatives. The role involves supporting product usage, developing operational processes and delivering exceptional client service.
Required Qualification:
Engineering or equivalent IT degree
Mandatory Expertise
- • Strong fundamentals in relational database management systems (RDBMS) with hands‑on experience in PL/SQL, SQL Server 2008/2012/2016 (T‑SQL) and exposure to deployment/source control tools (Jenkins, Octopus, SVN, GIT, TFS)
- • Excellent communication and interpersonal skills, with the ability to explain complex concepts simply and manage client expectations
- • Experience in analysing application log files and exposure to web services, APIs and SFTP processes
- • Basic understanding and prior experience in capital markets, asset management operations or investment banking
- • Demonstrates a strong appetite to learn about AI and proactively apply AI solutions to business challenges.
Added Advantage
- • Certification in SQL or Oracle
- • Knowledge of any scripting language (Python, JavaScript, etc.)
- • Exposure to AWS or Azure cloud technologies
Key Deliverables/Tasks
- • Support business‑as‑usual activities, ensuring application uptime and smooth operations, with a client centric mindset focused on anticipating client needs and providing proactive solutions
- • Troubleshoot, investigate and resolve data, application, API and SFTP issues reported by users, using thorough log analysis and complex database investigation
- • Coordinate with Asset Manager users and Brokers to understand their requirements, working on data/configuration changes and making confident decisions to enable effective solutions and high customer satisfaction
- • Own the process for data/configuration changes in the production environment, requiring strong SQL skills and analytical ability; utilise change/release management systems and suggest process improvements
- • Ensure accuracy in documenting production issues and uploading them promptly to the knowledge base
- • Work on technical implementation projects for new clients and collaborate with the implementation team on new client requirements
- • Conduct demos and training sessions for clients, maintaining a regular rhythm of communication and tracking client requests and queries
- • Collaborate with the Product Management, Account Management and Implementation teams to contribute to application stability and future vision
- • Work closely with Development and Testing teams on new product development and enhancements (e.g. via JIRA and parallel projects)
- • Peer review SQL code and provide constructive feedback to colleagues
- • Exhibit strong problem‑solving and critical thinking skills, prioritising tasks effectively and adapting to high pressure situations
- • Foster collaboration and teamwork, providing feedback to peers and mentoring junior team members
- • Show a growth and learning mindset by seeking continuous improvement and new skills, and using feedback constructively
- • Apply technical troubleshooting skills, including RDBMS concepts, SQL, API/SFTP setup, log analysis, and familiarity with JSON/XML files and error codes
Mandatory Attributes
- • Cultural awareness and inclusion, respecting diverse perspectives and adapting communication styles as needed
- • Commitment to continuous learning and professional development
- • Product and industry knowledge, with the ability to tailor solutions to client requirements and stay updated on industry developments
- • Data analysis and reporting skills, using SQL, Excel and AI tools to interpret client data and derive insights
- • Process optimisation experience, with a focus on identifying and improving inefficient workflows and implementing automation. Ability to explore the potential of AI within the role.
- • Ability to remain focused and calm under pressure, balancing urgency and accuracy
- • Strong attention to detail, consistently producing high‑quality work and thoroughly reviewing tasks for precision