robust control

Business Analyst - Capital Markets

posted by: spj_bot

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 1000 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning and AI. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner.

We are seeking an experienced Capital Markets Business Analyst to support initiatives across Data Foundation & Analytics reference data, market data, and trade lifecycle processes. The ideal candidate will have strong capital markets domain expertise, hands-on data analysis skills, and the ability to bridge business requirements with technical delivery teams.

Key Responsibilities

Capital Markets & Trade Lifecycle:

  • Analyze and document business processes across equities, fixed income, and derivatives products.
  • Support end-to-end trade lifecycle analysis and process optimization.

Reference Data & Master Data Management (MDM):

  • Contribute to golden-source reference data design and attribute hierarchies.
  • Support data modeling, data lineage mapping, and corporate action workflows.

Data Quality & Controls:

Job Skills

color leadership act validation data data decision make capital market data management business process gap analysis data business requirement communication reference data mapping functional requirement sql data quality external data bridge consultants translate analytical fix income robust control problem solve vendor management analytical skill data engineering career development data analysis bloomberg financial instrument process optimization defect tracking lifecycle processes reconciliation instrument reference datum analytics workflows analysis skills profiling market datum data feeds systems data exception handling equities data science market research derivatives consulting acceptance testing financial service data governance disability machine learning source consistent data control framework data profiling cusip manage
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Platform Engineer (Backend)

posted by: spj_bot

Platform Engineer (Backend)

Location: London, New York

Onsite | Full-time

Compensation: Competitive

Our client is an elite team of builders and a high-growth software development company at the forefront of the fintech and digital asset sectors. The organization is a primary contributor to one of the largest and most active crypto social networks globally, a platform that has generated over $600 million in revenue since early 2024. Operating at the intersection of high-scale social coordination and decentralized finance, the firm is dedicated to redefining the infrastructure of the future.

The organization is seeking a Platform Engineer to join a high-performance environment characterized by talent density and rapid execution. This role is critical in ensuring the security, scalability, and integrity of a platform attracting significant global attention. The successful candidate will bridge the gap between backend engineering and infrastructure security, implementing robust controls across a complex cloud and blockchain ecosystem.

Key Responsibilities

Job Skills

network security professional infrastructure security terraform high throughput automation containerized social network security policy reach systems logic systems languages operation scanning tools key management integration jenkins scalable GCP github automate cloud security container security distributed systems management devsecops massive dashboards backend cross functional collaboration high performance bridge live coding c++ security control level security robust control coordination tooling gitlab cryptographic key security standards rust finance collaborate social managed securely digital asset docker blockchain kubernetes automated security toolkit cloudformation infrastructure as code scalability stage devops software development real time node security architecture infrastructure mitigate containerization automated workflows scale applicable data operating equity stakes cloud infrastructure manage track
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