Structured Finance Sr Manager in India

Job Title: Client Onboarding & Product Specialist Company: Paytm Location: Noida Department: Business / Customer Success / Product Role Overview We are looking for a proactive and customer-focused professional to manage the onboarding and adoption journey of new clients at Paytm. The role involves conducting product demos, guiding clients through setup and integrations, resolving onboarding challenges, and ensuring smooth adoption of Paytm’s solutions. The ideal candidate should have strong communication skills, a problem-solving mindset, and the ability to work closely with Sales, Support, and Product teams. Key Responsibilities Lead new clients through a smooth and structured onboarding process, ensuring successful product setup and activation. ● Conduct product demos, product tours, and personalized training sessions to help clients understand and effectively use Paytm’s solutions. ● Guide clients through WhatsApp Marketing integrations, campaign setup, and relevant product functionalities. ● Act as the primary point of contact during onboarding, addressing setup-related queries and troubleshooting issues to ensure a seamless experience. ● Monitor client adoption and proactively identify opportunities to improve product usage and engagement. ● Simplify complex product or technical processes and help clients move from initial onboarding challenges to confident product usage. ● Collaborate with Sales, Customer Support, and Product teams to resolve client issues and share actionable customer feedback. ● Track onboarding progress, client requirements, and issue resolution while ensuring adherence to defined SLAs. ● Monitor campaign performance and support clients in optimizing their multi-channel campaigns. ● Identify recurring client challenges and work with internal teams to improve processes, product experience, and onboarding journeys. ● Maintain accurate records of client interactions, onboarding status, feedback, and resolutions. Key Skills ●

About Bolna Bolna is a YC-backed voice AI orchestration platform built for the Indian market—powering multilingual, vernacular voice agents across Hindi, Hinglish, Tamil, and 10+ languages at sub-500ms latency across collections, recruitment, sales, and e-commerce use cases. We are an orchestration layer, not a model company: our moat is outcome-labelled vernacular data, rigorous evaluation infrastructure, and a growing taxonomy of how Indian enterprise voice AI fails in production. Why This Role Exists Product decisions at Bolna increasingly hinge on rigorous, code-mixed-aware data analysis—and not just one kind. On one side, there is model and evaluation rigor: LLM benchmarking for post-call intelligence, ASR/WER evaluation, inter-rater reliability on human-labelled calls, and routing and latency economics. On the other, there is product and growth insight: understanding where self-serve users drop off in their journey, what patterns emerge across lakhs of monthly calls, and which use cases and configurations are actually working. Both currently sit with the Head of Product alongside strategy and roadmap ownership. We need a dedicated analyst to own the execution and recurring cadence across both-freeing product leadership to act on findings rather than produce them. What You’ll Do Model and Evaluation Analysis LLM and model benchmarking: Run structured comparisons across model providers such as Sarvam, DeepSeek, Gemini, and Claude variants for tasks including post-call extraction and LLM-as-judge scoring. Evaluate cost, accuracy, fill rate, and TTR, with particular attention to Hinglish and code-mixed content. Evaluation infrastructure: Build and maintain LLM-as-judge pipelines using tools such as DeepEval, design and track evaluation metrics, and run inter-rater reliability analysis such as Krippendorff’s alpha across human call reviewers. Golden dataset creation: Support the construction of golden datasets for ASR and transcript labelling, including flagging co

Role Summary The AI Knowledge Analyst is a member of the Customer Care and Managed Services team, responsible for ensuring the knowledge ecosystems that power GHX's operations and AI platforms are accurate, well-governed, and continuously improving. This role works closely with leadership, SMEs, data scientists, and operational teams to identify content gaps, manage knowledge lifecycles, and translate business needs into structured, AI-ready information assets. The AI Knowledge Analyst is equally comfortable working through a detailed content audit and presenting a structured recommendation to leadership. Strong organizational skills, clear communication, and a bias for action are required. This is a role for someone who treats knowledge gaps as solvable problems and can move from gap identification to resolution with minimal direction. Core Focus Areas Knowledge Governance & Lifecycle Management Maintain, organize, and govern the knowledge assets that support Customer Care and Managed Services teams. This includes managing intake, triage, and routing of knowledge requests; driving SME review cycles; and ensuring content is accurate, current, and ready for both human use and AI ingestion. AI Knowledge Readiness Identify, structure, and groom content that feeds GHX's AI platform. Partner with AI and data teams to ensure knowledge assets are formatted, accurate, and optimized for ingestion. Monitor AI solution performance and drive content improvements that translate into measurable efficiency gains. Roles & Responsibilities Knowledge Management & Content Quality Manage the intake, triage, and routing of knowledge-related requests from operational teams. Maintain content lifecycle through SME review checkpoints — flagging material for update, review, or archival on a consistent cadence. Identify obsolete, duplicate, or conflicting content and drive resolution through appropriate stakeholders. Conduct knowledge audits and implement improvement c

Job Title Production Planner Job Description Production Planner Your Role: Job Responsibilities: • Ensures on-time delivery of customer orders by managing the quality of planning-related master data in close cooperation with Enterprise Information Management (EIM). • Generates a feasible/final Master Production Schedule (MPS) from the Initial/semi-final MPS provided by the Supply Planning function. • Develops a feasible Detailed Production Schedule (DPS) and Material Requirements Plan (MRP) from the MPS while minimizing changeover times in collaboration with Production/Operations Management. • Works diligently to optimize the utilization of both workforce and equipment, strategizing to enhance efficiency and productivity across production operations. • Coordinates planning-related master data in concert with Enterprise Information Management (EIM), ensuring data integrity and consistency to facilitate effective decision-making. • Releases meticulously crafted production schedules to the shop floor, ensuring that operational activities align seamlessly with organizational objectives and priorities. • Facilitates regular and structured planning handshake meetings with Production/Operations Management, fostering open communication channels to address challenges, align priorities, and drive operational excellence. • Engages in troubleshooting production orders and materials, promptly identifying and resolving issues to maintain operational continuity and uphold delivery commitments. You Are a Great Fit If: • Bachelor’s degree in computer science, Software Engineering, Electronics, Information Technology, or a related engineering discipline. • Minimum 2 years till 5 years of experience in production plant or manufacturing site or equivalent. Exte

Job Title Project Manager – CAPA & Complaints Job Description Project Manager – CAPA & Complaints Your Role: Coordinate teams across Quality, R&D, Engineering, Manufacturing, Operations, Supply Chain, Procurement, Regulatory, Service and Customer Quality. Identify recurring CAPA themes and opportunities for systemic improvement. Coordinate implementation of corrective/preventive actions, including process, product, system and documentation changes. Maintain CAPA dashboards and management reporting. Drive accountability across CAPA action owners. Own and track business KPIs related to complaint and investigation timelines, quality, and throughput. Provide regular KPI, progress, and risk updates to leadership and key stakeholders. Drive timely closure of complaints and investigations through structured follow-up with action owners. You're the Right Fit If: Bachelor's or Master's degree in Mechanical/Electronics Engineering Experience: 10+ years in Project Management , preferably with CAPA and Complaints Handling in Medical Devices. Strong knowledge of Quality Management Systems and risk-management principles. Skills : Strong data analytics skills with the ability to derive insights from operational and performance data. Excellent stakeholder management and communication skills across multiple organizational levels. Strong presentation and reporting capabilities, including development of executive-level dashboards and updates. Proven ability to drive accountability and coordinate cross-functional teams without direct authority. Experience in process improvement, operational excellence, and AI

About the Role We are looking for a proactive and detail-oriented Business Development Associate to support our BD team. The role involves assisting senior team members in managing client/stakeholder interactions, documenting key insights, and ensuring smooth information flow across internal and external stakeholders. This is an excellent opportunity for someone eager to learn and grow in a fast-paced business development environment. Key Responsibilities Provide day-to-day support to senior team members and work closely with them on ongoing tasks. Analyze documents/comprehensions to extract key insights and translate them into actionable to-dos. Attend business development meetings, capture detailed notes, prepare structured documentation, and share concise summaries with the broader team. Coordinate and maintain communication with brokers across APAC, EMEA regions, and other external partners. Organize and streamline the flow of information between third-party stakeholders and internal teams, ensuring accuracy and timeliness. Requirements Strong analytical and comprehension skills - ability to break down information into actionable points. Prior HFT experience is a plus Experience in dealing with exchanges/ AWS is a plus Excellent communication and documentation skills (both written and verbal). Detail-oriented, organized, and able to multitask in a fast-paced environment. Comfort in interacting with global stakeholders and handling professional correspondence. Proficiency in MS Office / Google Workspace What We Offer Opportunity to work closely with senior stakeholders in business development. Exposure to international markets and stakeholders A learning-driven environment with strong mentorship and growth opportunities.

Role: Network Engineer Location: Gurgaon Graviton is a privately funded quantitative trading firm striving for excellence in financial markets' research. We are seeking a Network Engineer for our team in Gurgaon. Graviton trades across a multitude of asset classes and trading venues using a gamut of concepts and techniques ranging from time series analysis, filtering, classification, stochastic models, pattern recognition to statistical inference analysing terabytes of data to come up with ideas to identify pricing anomalies in financial markets. Key Responsibilities Design, deploy, operate, and troubleshoot low-latency network infrastructure used by trading firms. Manage connectivity to global stock exchanges, brokers, market-data providers, and ISPs. Build and maintain colocation infrastructure including routers, switches, Layer-1 devices (added advantage), structured cabling and cross connects. Configure and support Cisco Nexus, Arista and similar platform devices. Design and troubleshoot Layer 2 and Layer 3 networks including: VLANs, VRFs, BGP, OSPF, Static routing, PIM, IGMP, Multicast, SSM, ACLs and QoS. Troubleshoot packet loss, multicast issues, duplicate packets, IGMP/PIM and multicast/BGP routing. Monitor and optimize latency, jitter, packet loss, interface errors, congestion, and network performance. Work with ultra-low-latency technologies including: Cut-through switching, Layer-1 switches, FPGA-based network devices, Kernel-bypass networking, ExaNIC/Solarflare NICs, Hardware timestamping. Configure and troubleshoot PTP and clock synchronization infrastructure. Perform server and network equipment installation in exchange and third-party data centres. Manage rack layout, patching, cable optimization, optics, DACs, cross-connects, and inventory. Coordinate network changes with exchanges, telecom providers, brokers, vendors, and data-centre teams. Plan and execute production changes during approved maintenance windows. Perform pre-change validation, c

A CAREER WITH POINT72’S TECHNOLOGY TEAM As Point72 reimagines the future of investing, our Technology group is constantly improving our company’s IT infrastructure, positioning us at the forefront of a rapidly evolving technology landscape. We’re a team of experts experimenting, discovering new ways to harness the power of open-source solutions, and embracing enterprise agile methodology. We encourage professional development to ensure you bring innovative ideas to our products while satisfying your own intellectual curiosity. WHAT YOU’LL DO Monitor, triage, and assess incidents across global markets and technology platforms, validating severity, business impact, and escalation requirements. Act as command-and-control lead for major incidents, driving structured response, rapid restoration, and informed decision-making. Coordinate recovery efforts across L1/L2/L3 support teams, engineering, infrastructure, and third-party vendors to minimize business disruption. Lead internal and external stakeholder communications, including senior leadership, during incidents and service disruptions. Trigger and govern disaster recovery (DR) failover in line with predefined criteria, controls, and governance standards. Ensure accurate, timely, and audit-ready incident documentation, including detailed timelines, evidence, and impact analysis. Facilitate post-incident reviews (RCA/post-mortems), ensure root causes are clearly identified, and track corrective and preventative actions to closure. Govern end-to-end change management, including change risk assessment, CAB facilitation, approval workflows, maintenance windows, and change-related incident management. Drive continuous improvement in incident, change, and event management processes through automation, standardization, and improved tooling and alert quality. Partner with engineering and operations teams to design scalable, resilient processes, promote best practices, and enhance operational matur

AI/ML – Investment Services A Career with Point72's AI/ML – Investment Services Team The AI/ML – Investment Services team at Point72 spearheads the development of cutting-edge AI solutions that seek to transform our business processes and enhance enterprise intelligence. The team aims to bridge the gap between business challenges and technological innovation, collaborating with stakeholders across the firm and leveraging expertise in generative AI, data engineering, and machine learning. WHAT YOU'LL DO Build and scale core backend services and platforms that power generative AI applications and data infrastructure used across the firm’s investment workflows Design and implement high-throughput, low-latency data pipelines to ingest, normalize, and serve both structured and unstructured data Develop robust APIs and microservices to support model inference, feature serving, and downstream applications Integrate generative AI tools and model-serving workflows into production, including embedding stores, retrieval components, and fine-tuning pipelines Optimize system performance, cost, and reliability through profiling, capacity planning, and architectural improvements Implement automated testing, continuous delivery pipelines, monitoring, and incident response practices to maintain production health Partner with data scientists, AI engineers, product owners, and operations to translate models and prototypes into scalable, production-grade solutions Mentor engineers, lead code reviews, and establish engineering best practices for maintainability, security, and observability Own end-to-end delivery, operational runbooks, and metrics-driven measurement of feature impact and system reliability WHAT'S REQUIRED Bachelor’s degree in computer science, software engineering, or a related technical field Minimum 5+ years of professional experience building backend systems and production services Demonstrated experience designing and operating large-scale data engineering pipelines

Opportunity Overview: As Quality Specialist will implement quality measurements, scoring, and performance improvement data designed to improve operational efficiency while exceeding industry standards for quality performance. You will apply subject-matter expertise to guide and support the training and quality needs of Intake Operations. This includes building the success of the company through training and development. With a solid foundation in quality analysis, feedback, instructing/coaching; you are expected to be flexible and nimble in your role to manage short- and long-term projects as well as dealing with day-to-day QA tasks. Cohere culture is one of partnership and ownership. What you’ll do: Translate QA findings into clear insights and recommendations for operational leaders and cross-functional partners. Develop and deploy structured coaching sessions based on audit findings to improve accuracy, decision-making, and skill development. Create and ensure accuracy of SOPs, job aids, workflow guides, and new product readiness materials. Facilitate onboarding and ongoing upskilling sessions using adult learning principles and SME feedback. Lead QA/Training side of project implementations by operationalizing workflow changes, quality expectations, and training updates into the business. Partner with Product, Clinical, Client Services, and Operations to validate workflow changes and identify potential quality or compliance risks. Support change management by communicating process updates and aligning QA expectations across impacted teams. Serve as a subject matter expert and advisor to frontline leaders on quality trends, training needs, and operational readiness. Manage multiple concurrent priorities with independence, ownership, and accountability for deliverables, exercise discretion and independent judgment. Step into operational queues to maintain service levels and ensure continuity of operations, as needed during high-volume periods. Other duties as assig

Opportunity Overview: Cohere’s Provider & User Management team is responsible for ensuring that provider organizations are supported throughout their lifecycle of using the platform. This role will play a critical part in enabling successful onboarding across our client base by capturing, analyzing, and translating real-world workflows into actionable insights for downstream teams. The Business Analyst role is an entry-level position focused on pre-implementation readiness. This individual will support client onboarding by conducting workflow shadowing, time studies, and documentation of current-state processes within provider organizations and health plans. As a Business Analyst , you will work closely with cross-functional teams at Cohere to deeply understand our mission and the providers and health plans engaging with our products and services. You will gain exposure to client user perspectives—including clinical reviewers (e.g., RNs, LPNs) and operational teams—and the workflows they operate within. You will leverage this knowledge to document and synthesize insights that inform Client User Training, Provider Training, Product, and Provider Success Account Management teams. Your work will directly impact how Cohere prepares providers and clients for implementation and scales best practices across the organization. The Business Analyst will be highly organized, curious, and detail-oriented, with a strong ability to observe, document, and communicate workflows in a way that drives clarity and action. What you’ll do: Conduct pre-implementation workflow shadowing sessions with provider organizations and health plan teams Perform time studies and analyze current-state workflows to identify inefficiencies and variation Document workflows, processes, and user behaviors in a clear and structured format Translate observations into actionable insights and recommendations for downstream teams (e.g., Client Training, Provider Training, Product) Partner with cross-functi

Title: Senior AI QA Engineer Location: Bengaluru (Bangalore) Opportunity: As a Senior AI QA Engineer for our Precision Patient Care Pipeline , you will go beyond traditional functional testing. You will be responsible for building the framework that ensures our clinical insights are accurate, safe, and reliable. This role requires a unique blend of high-level software testing and data engineering to validate complex, non-deterministic medical outputs using a hybrid of automated grading methodologies . Key Responsibilities: Architect Multi-Layered Validation Frameworks: Design and implement structured testing strategies that combine deterministic checks, semantic similarity metrics, and model-based evaluations. Automated Model Grading: Develop systems to evaluate clinical pipeline outputs for faithfulness, safety, and hallucination detection using various automated scoring techniques (e.g., BERTScore, ROUGE, or custom heuristics). Vibe-Driven Development: Leverage agentic AI tools to rapidly prototype complex test harnesses, "red-team" clinical logic, and build internal validation utilities at high velocity. Data Pipeline Integrity: Execute integration and regression tests for data-heavy backend processes, ensuring medical data remains consistent from ingestion to insight generation. Collaborative Strategy: Work closely with Data Scientists and Product Managers to define "Ground Truth" datasets and clinical evaluation rubrics. Root Cause Analysis: Deep-dive into complex system failures to identify whether issues stem from code logic, data drift, or model behavior. Requirements: 6+ years of technical experience in Quality Assurance, with a strong focus on system architecture and backend data validation. Advanced Python Proficiency: Expert-level skills in Python for building custom test scripts and working within AI/ML ecosystems. AI/ML Validation Experience: Proven experience testing model outputs using diverse metrics (e.g., Semantic Similarity, NLP metrics, an

Learning & Development Partner – Data Engineering Business Experience: 10–13 Years Role Purpose The Learning & Development Partner will work closely with the Data Engineering business leadership to design, drive, and deliver learning strategies that build critical technical capability, leadership depth, and future-ready skills. This role acts as a strategic partner to the business, ensuring learning directly enables business growth, delivery excellence, and talent readiness. Key Responsibilities Business Partnership & Strategy Partner with Data Engineering leaders to understand business priorities, capability gaps, and future skill needs. Translate business goals into structured learning roadmaps covering technical, leadership, and behavioral competencies. Develop and execute an AI capability-building roadmap for employees, aligned with business priorities and emerging technology trends. Act as a trusted advisor to leaders on talent development and skill readiness. Technical and Capability Development Design and curate learning interventions for Data Engineering roles. Leverage internal Subject Matter Experts (SMEs) and external partners to create high-impact, contextual learning programs. Ensure learning pathways are role-based, progressive, and aligned to career growth. Leverage AI tools for content design and development, and learning operations. Leadership and Behavioral Development Support the design and delivery of leadership development programs for technical and people leaders within the Data Engineering function. Embed skills such as communication, stakeholder management, execution excellence, and people leadership. Learning Governance and Effectiveness Define success metrics to measure learning effectiveness and business impact. Review learning outcomes through feedback from managers, mentors, and participants. Continuously refine programs based on data, feedback, and evolving business needs. Leverage Learning Management Systems (LMS) to track

The Zonal Lead - Security-Tx is responsible for managing security operations across the cluster in alignment with business objectives and the Security Strategy Roadmap. This includes safeguarding infrastructure to ensure business continuity, fostering a secure environment for employees and stakeholders, and enhancing the security of designated protected. The role oversees fraud and misconduct prevention through a structured framework for detection, response, and continuous improvement. By conducting detailed security risk assessments, the Security Lead identifies, mitigates, and eliminates potential threats while ensuring the protection of tangible and intangible assets within the cluster. Source: Adani Group | Job ID: 55870

To lead and drive workforce capability building, talent management, Project Affected Persons (PAP) and Project Displaced Families (PDF) development, community skilling initiatives, safety governance, and sustainable livelihood programs across business locations. The role focuses on creating a future-ready workforce while ensuring effective utilization of local communities through structured skill development, employability enhancement, entrepreneurship promotion, and livelihood generation initiatives aligned with business requirements and social commitments. Source: Adani Group | Job ID: 57367