Liquidity Data Analyst/Liquidity Business Analyst

Tvaksa Technologies; Hyderabad, Pune District, Bengaluru; Hybrid; INR 900,000 - 1,300,000; Full time

Job summary

Tvaksa Technologies is seeking a seasoned Business/Data Analyst to translate regulatory text into functional requirements and data mappings. You will work with Treasury and Liquidity Risk, converting guidance into actionable specs for development teams.

You will perform large-scale data analysis, ensure data lineage and reconciliation, and collaborate across global teams in an Agile or hybrid SDLC setting.

Qualifications

• Bachelor’s or Master’s degree in a quantitative field (Finance/Economics/CS/MIS).
• 5–8+ years of Business/Data Analyst experience in financial services.
• Knowledge of FR 2052a, ILST, LCR, NSFR or Reso preferred.
• Experience with Agile or hybrid SDLC; Jira/Confluence usage.

Responsibilities

• Translate regulatory text into FRDs/BRDs, data mapping templates and transformation specs.
• Convert regulatory guidance into actionable system requirements for dev teams.
• Lead change management and assess impact of regulatory updates and audit findings.
• Perform large-scale data analysis across deposits, liquidity, derivatives and related data sources.
• Ensure data lineage, mapping, reconciliation, and data quality controls.

Skills

Requirements gathering

Stakeholder communication

Analytical thinking

Agile mindset

Regulatory domain knowledge

Problem solving

Education

Bachelor’s / Master’s degree in Finance, Economics, Computer Science, MIS

Tools

SQL

Jira

Confluence

Excel

Python

R

Tableau/Power BI

Job description

Job Level

JL5

Location

Pune, Chennai, Bangalore, Hyderabad, Chandigarh.

Notice period

0-30 days only

1. Requirements Engineering & Regulatory Translation

• Translate Regulatory Text: Analyze and translate complex regulatory rules, methodology documents, and policy updates into clear, unambiguous functional requirements documents (FRDs), business requirements documents (BRDs), data mapping templates, and transformation logic specifications.
• Methodology Implementation: Interpret regulatory guidance and Citi’s internal liquidity methodologies, converting them into actionable system requirements for development teams.
• Change Management: Manage and assess the impact of change requests driven by evolving regulatory updates, audit findings, or methodological enhancements.

2. Data Analysis, Lineage & Reconciliation

• Large-Scale Data Analysis: Query and analyze large, complex datasets across multiple upstream source systems (e.g., deposits, secured funding, derivatives, off-balance sheet products).
• Data Lineage & Mapping: Perform end-to-end data lineage analysis from transaction sourcing to final regulatory reporting, ensuring complete transparency and traceability.
• Reconciliation & Validation: Reconcile source-to-report figures, validate stress calculations, and perform comprehensive data quality checks.
• Issue Triage & Resolution: Lead data analysis and issue triage to resolve breaks, anomalies, and reconciliation gaps across reporting cycles.
• Remediation Strategies: Identify systemic data quality issues and define robust remediation strategies in collaboration with data governance and technology teams.

3. Stakeholder Collaboration & Advisory

• Cross-Functional Bridge: Act as the primary liaison between Treasury, Liquidity Risk, Methodology, Technology, Data, and QA teams to ensure alignment on project goals and deliverables.
• Facilitate Walkthroughs: Lead requirement walkthroughs, impact assessments, and solution design discussions with both technical and non-technical stakeholders.

4. Testing, Quality Assurance & Production Support

• Testing & Parallel Runs: Define testing strategies, write test cases, and support User Acceptance Testing (UAT), parallel runs, and production certifications to ensure reporting accuracy and regulatory compliance.
• Developer Collaboration: Work daily with developers to clarify data sourcing, transformation rules, and reporting logic, ensuring technical designs align with business intent.
• Continuous Improvement: Continuously identify opportunities to improve automation, strengthen data controls, and enhance documentation to support reporting sustainability and auditability.

5. Agile Delivery & SDLC Compliance

• Agile Frameworks: Work within Agile or hybrid SDLC models, actively participating in backlog refinement, sprint planning, daily stand-ups, and retrospective sessions.
• System Dependencies: Maintain a strong understanding of upstream/downstream system dependencies, batch processing schedules, and reporting timelines to ensure seamless delivery.

Qualifications & Experience

• Education: Bachelor’s / Master’s degree in Finance, Economics, Computer Science, Management Information Systems (MIS), or a related quantitative field.
• Professional Experience: 5–8+ years of experience as a Business Analyst, Functional Analyst, or Data Analyst within a global financial institution, consulting firm, or financial technology provider.
• Domain Expertise: Strong understanding of Treasury, Liquidity Risk Management, and regulatory reporting frameworks. Direct experience with FR 2052a, ILST, LCR (Liquidity Coverage Ratio), NSFR (Net Stable Funding Ratio), or Reso is highly preferred.
• SDLC Methodologies: Proven experience working within Agile (Scrum/Kanban) or hybrid SDLC frameworks, including using tools like Jira and Confluence.

Technical Skills & Competencies

• Data Querying: Advanced SQL skills are required to query databases, analyze data structures, and perform data profiling.
• Data Mapping: Strong expertise in creating source-to-target data mappings, data dictionaries, and transformation logic.
• Analytical Tools: Advanced proficiency in Microsoft Excel (VLOOKUPs, pivot tables, complex formulas) for data reconciliation and prototyping.
• Data Lineage: Familiarity with data lineage concepts, metadata management, and data quality frameworks.
• Programming/BI (Preferred): Exposure to Python, R, or Business Intelligence tools (e.g., Tableau, Power BI) is a plus.

Soft Skills

• Communication: Exceptional verbal and written communication skills, with the ability to explain complex financial calculations and technical data flows to diverse audiences.
• Problem Solving: Strong analytical and problem-solving skills, with a meticulous attention to detail and a track record of resolving complex data anomalies.
• Collaboration: Proven ability to build relationships and collaborate effectively across cross-functional, global teams.
• Resilience: Ability to thrive in a fast-paced, deadline-driven environment with evolving regulatory priorities.