Senior Business Data Analyst - Capital Market at Citi

Pune, maharashtra, India -

Full Time

Start Date

Immediate

Expiry Date

11 Apr, 26

Salary

0.0

Posted On

11 Jan, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Analysis, Data Governance, Data Quality, Data Management, SQL, Python, Pyspark, Market Risk, Counterparty Risk, Basel III, Monte Carlo Simulation, Data Visualization, Stakeholder Management, Analytical Thinking, Problem Solving, Communication Skills

Industry

Financial Services

Description

Data analysis for derivatives products across systems for target state adoption and resolution of data gaps/issues Lead assessment of end-to-end data flows for all data elements used in Regulatory Reports Document current and target states data mapping and produce gap assessment Coordinate with the business for identifying critical data elements, defining standards and quality expectations, and prioritize remediation of data issues Identify appropriate strategic source for critical data elements Design and Implement data governance controls including data quality rules and data reconciliation Design systematic solution for elimination of manual processes/adjustments and remediation of tactical solutions Prepare detailed requirement specifications containing calculations, data transformations and aggregation logic Perform functional testing and data validations 13+ years of combined experience in banking and financial services industry, information technology and/or data controls and governance. Expertise and professional experience in Markets Business, Market Risk computation, Counterparty Party Risk Computation, ISDA Credit Annexure-Netting, Collateral, Basel III rules for market risk and credit risk, stress testing and computation of counterparty exposure Good understanding of exposure computation process, Monte Carlo Simulation, data required for Computation of Derivative / SFT EAD Excellent understanding of data requirements, simulation, netting and collateral rules for Market products (Derivatives, SFT, etc) Preferably Engineering Graduate with Post Graduation in Finance Extensive experience in the capital markets business and processes Deep understanding of Derivative products (i.e., Equities, FX, IRS, Commodities etc.) and SFT (Repo, Reverse Repo, Securities Lending and Borrowing) Strong Data analysis skills using Excel, SQL, Python, Pyspark etc. Experience with data management processes and tools and applications, including process mapping and lineage toolsets Actively managed various aspects of data initiatives including analysis, planning, execution, and day-to-day production management Ability to identify and solve problems throughout the product development process Analytical thinking - ability to break down complex data structures and processes to identify issues and develop logical models that meet business needs. Strong knowledge of structured/unstructured databases, data modeling, data management, rapid / iterative development methodologies and data governance tools Strong understanding of data governance issues, policies, regulatory requirements, and industry information affecting the business environment Demonstrated stakeholder management skills Excellent communication skills - needs to be able to communicate with technical and non-technical stakeholders to gather requirement and develop clear documentation Excellent presentation skills, business and technical writing, and verbal communication skills to support decision-making and actions Excellent problem-solving and critical thinking skills to recognize and comprehend complex data flow and designs. Self-motivated and able to dynamically determine priorities Data visualization skills - can help in creating visual representation of data models and provide input to UX / UI team to help make it easier to communicate complex model relationships with stakeholders ------------------------------------------------------ For complementary skills, please see above and/or contact the recruiter. ------------------------------------------------------

Responsibilities

The Senior Business Data Analyst will lead data analysis for derivatives products, focusing on data flow assessments and gap resolutions for regulatory reports. They will also coordinate with business units to define data standards and implement data governance controls.