Global IT consulting firm NY branch seeks Japanese Bilingual Business Analyst in Counterparty Credit Risk.\u00a0<\/p>\n
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Location: \u00a0New York, US. <\/p>\n
Visa\/Work Permit could be offered to the eligible candidate.<\/p>\n
$100K-150K plus full benefits <\/p>\n
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Responsibilities:<\/strong><\/p>\n \u00a0\u2022 Liaise with stakeholders across Exposure Management, Counterparty Risk Management, Risk Analytics, and Model Validation organizations to assemble business requirements for Credit Risk Technology projects.<\/p>\n \u00a0\u2022 Guide assigned Credit Risk Technology projects under ownership through business analysis lifecycle to achieve successful implementation, on time with quality.<\/p>\n \u00a0\u2022 Manage expectations of various stakeholder groups and help negotiate solutions to complex problems.<\/p>\n \u00a0\u2022 Help assemble and manage detailed Counterparty Risk documentation such as functional specifications and facilitate technical design discussions with technology teams.<\/p>\n \u00a0\u2022 Develop and review test cases\/scripts, generate and validate test data extracts\/reports in UT\/SIT with ETL\/Java\/BI developers and in UAT with business users toward successful signoff on time.<\/p>\n \u00a0\u2022 Investigate production issues associated with PV\/EPE\/PFE and related calculations for internal risk monitoring and regulatory credit risk reporting.<\/p>\n \u2022 Create and execute database queries to analyze production data in daily exposure reports and back testing output, and identify causes of data issues.<\/p>\n \u00a0\u2022 Communicate requirements gathered from local teams to remote global teams.<\/p>\n <\/p>\n \u00a0<\/p>\n <\/p>\n Required Qualifications:<\/strong><\/p>\n <\/p>\n \u2022 10+ years\u2019 work experience in Business Analysis in the Credit Risk domain.<\/p>\n \u2022 Business level Japanese and English skill (Reading\/Writing\/Listening\/Speaking)<\/p>\n \u00a0\u2022 Excellent understanding of derivatives products' mechanics and life cycle, including Options, Futures, Forwards, and Swaps.<\/p>\n \u00a0\u2022 Excellent understanding of Counterparty Credit Risk, PV\/EPE\/PFE, CSA, Collateral data (IM\/VM), market data (FX, indices, volatility data), BASEL 3 regulations.<\/p>\n \u2022 Extensive Agile experience, including Scrum and Kanban methods using JIRA and Confluence.<\/p>\n \u00a0\u2022 Data analysis capabilities (Relational database and Excel spreadsheet), proficient with SQL. MS SQL server DB and Snowflake DB experience is a plus.<\/p>\n \u00a0\u2022 Familiarity with Stored Procedure and Python is an advantage.<\/p>\n \u2022 SDLC awareness, including knowledge of quality issues in software development.<\/p>\n \u00a0\u2022 Strong analytical, problem solving, and decision-making skills.<\/p>\n \u2022 Effective presentation skills, combined with extreme attention to detail.<\/p>\n \u2022 Bachelor\u2019s degree in computer science or finance disciplines.<\/p>\n <\/p>\n Work Style:<\/p>\n This role is based in New York, requiring the successful candidate to be on-site (NY office) a couple of times a week.<\/p>\n <\/p>\n