eClerx LLC
Jobs at eClerx LLC
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Analytics
The job description provides limited role-specific detail. The Senior Analyst will likely support data-driven insights, process optimization, operational efficiency, and client service initiatives within eClerx’s technology, analytics, and process management services.
Analytics
Designs and implements GCP data pipelines using BigQuery and Airflow for large-scale campaign and clickstream data. Builds ETL/ELT frameworks, optimizes BigQuery costs and query performance, and automates workflow monitoring and alerting. Requires strong SQL, Python or PySpark skills, hands-on GCP experience, and familiarity with Airflow, CI/CD tools, Git, and Jenkins.
Analytics
Lead and improve operational processes to boost efficiency and service quality. Drive process standardization and automation, monitor KPIs and SLAs, manage stakeholder relationships, and support team development to deliver client-focused outcomes.
Analytics
Design, develop, deploy, and scale production-grade enterprise AI solutions for customers. Build generative and agentic AI applications using LLMs, RAG, orchestration frameworks, APIs, microservices, and cloud platforms. Translate business challenges into scalable solutions, optimize reliability and cost, lead workshops and proofs of concept, and collaborate with product, engineering, data science, and DevOps teams.
Analytics
Respond to inbound customer chats from US customers, provide product and pricing information, resolve concerns, and identify opportunities to upsell and cross-sell products and services. Document interactions in the CRM, handle objections, close sales, meet individual and team sales targets, and maintain product knowledge while working rotational shifts.
Analytics
Leads end-to-end global service desk delivery across client engagements, owning SLAs, KPIs, governance, customer relationships, escalations, staffing, and P&L performance. Manages large multi-shift teams, senior stakeholder communications, operational reviews, audits, and commercial activities. Drives continuous improvement through automation, self-service, knowledge management, AI chatbots, ITSM tools, and analytics. Requires extensive IT service desk leadership experience, ITIL expertise, executive client management, and strong commercial acumen.
Analytics
Handle outbound calls with customers reporting technical issues. Diagnose root causes, provide troubleshooting instructions, guide customers through resolutions, document interactions in the customer database, escalate unresolved problems, and follow up to confirm resolution and customer satisfaction. The role requires strong communication, patience, problem-solving, technical aptitude, and familiarity with CRM and call center tools.
Analytics
Designs and maintains scalable ETL/ELT pipelines, data transformations, ingestion workflows, and integrations using Python, SQL, and Snowflake. Optimizes queries and processing for large datasets, supports data warehousing and modeling, ensures data quality and reliability, troubleshoots pipeline issues, and contributes to data architecture best practices while collaborating with data scientists, analysts, and stakeholders.
Analytics
Designs, manages, and improves organization-wide induction and onboarding programs for new hires. Coordinates sessions, materials, facilitators, technology, and cross-functional stakeholders including HR, IT, facilities, and hiring managers. Collects feedback, monitors onboarding KPIs, maintains compliance documentation, and supports HR technology automation and virtual induction initiatives.
Analytics
Monitors telecom incident queues, validates and triages IP Ethernet customer tickets, performs L1/L2 troubleshooting across carrier Ethernet, MPLS, routing, switching, optical interfaces, and network equipment, and ensures timely customer acknowledgement. Coordinates field, OSP, transport, engineering, vendor, and provider engagement; initiates dispatches; maintains ticket quality and documentation; tracks queue and SLA metrics; supports handoffs, reporting, QA, and continuous improvement in a 24x7 environment.
Analytics
Leads syndicated loan processing operations across participation, agented, and bilateral deals. Manages complex processes, client SLAs, KPIs, and KRIs; delivers productivity improvements; develops solutions and analysis; leads stakeholder meetings; and handles multiple priorities under pressure. Requires strong finance and investment banking operations expertise, quantitative reasoning, business acumen, and proficiency with Microsoft Office.
Analytics
Develop and maintain full-stack web applications using Python, backend frameworks, RESTful APIs, databases, and modern front-end technologies. Responsibilities include designing interfaces, integrating third-party services, implementing security practices, optimizing performance, writing maintainable code, deploying applications to cloud platforms, participating in code reviews, and collaborating with design, QA, and product teams.
Analytics
Own end-to-end delivery of enterprise application features involving full-stack development, blockchain integrations, smart contracts, Web3 infrastructure, transaction workflows, and secure scalable architecture. Responsibilities include coding, testing, deployment, performance optimization, cloud reliability, architectural discussions, code reviews, stakeholder communication, and collaboration with Product, UX, and project management teams.
Analytics
Lead a full-stack application development squad, directing architecture, delivery, testing, performance, security, and cloud reliability. Design blockchain and Web3 integrations, smart contracts, transaction workflows, wallet and custody interactions, and audit-friendly systems. Mentor engineers, guide technical decisions, collaborate with product and project managers, manage risks and dependencies, and improve engineering processes and tooling.
Analytics
Develop and support Xceptor-based automation and reconciliation solutions for investment banking operations. Configure reconciliation rules, data validations, exception management, and complex data workflows. Lead EUC remediation, support UAT and production deployments, resolve incidents, optimize large-volume processing, and ensure regulatory compliance, auditability, documentation, and operational resilience. Collaborate with business analysts, operations, and technology teams while integrating Xceptor with platforms such as Appian and GenAI.
Analytics
Supports process management activities within eClerx’s productized services environment. The provided description contains no specific responsibilities, qualifications, technologies, salary, travel, or clearance requirements.
Analytics
The Associate Process Manager role supports eClerx’s process management and client service operations. The posting provides limited detail about specific responsibilities, qualifications, technologies, travel, or work arrangements. eClerx emphasizes operational efficiency, technology-enabled services, data-driven insights, automation, and employee development.
Analytics
Support capital markets trade lifecycle operations, including trade confirmation, pre-settlement, reconciliations, cash-flow settlements, syndicated loans, corporate actions, reference data, KYC, and regulatory reporting. Identify and escalate risks, report issues to clients, generate reports, and collaborate with stakeholders while learning equity, derivatives, fixed income, FX, commodities, and interest-rate products.
Analytics
Own the global KYC/AML data-source framework and end-to-end review specifications for an agentic AI compliance platform. Translate regulatory requirements, sourcing rules, SOPs, and expert judgment into machine-usable decision logic. Evaluate vendors, validate AI decisions, define fallback sourcing strategies, lead audits and gap assessments, and collaborate with compliance, legal, product, engineering, and risk stakeholders across jurisdictions.
Analytics
Develop and maintain scalable web applications with Python and Django, build REST APIs and backend services, optimize SQL database queries, and collaborate with frontend, QA, and product teams to deliver clean, reusable, efficient code.



