Senior Structural Analysis Engineer in India

We are seeking an experienced Senior Structural Engineer to lead the civil and structural design of RCC and structural steel projects across industrial and township developments. The role requires strong expertise in analysis, design review, tender engineering, multidisciplinary coordination, and site support, with a focus on safety, quality, compliance, and cost optimization Source: Adani Group | Job ID: 51874

About Us: Paytm is India's leading mobile payments and financial services distribution company. Pioneer of the mobile QR payments revolution in India, Paytm builds technologies that help small businesses with payments and commerce. Paytm’s mission is to serve half a billion Indians and bring them to the mainstream economy with the help of technology. About the Team- Paytm Ads is the digital advertising platform of Paytm, enabling brands to reach and engage with over 350M+ users across Paytm’s ecosystem of 200+ payment, commerce, and retail services—both online and offline. By leveraging transaction signals and behavioral insights, Paytm Ads enables advertisers to target highly relevant consumer cohorts and deliver performance-driven campaigns. About the Role- We are looking for a Senior Manager – Product Analytics to drive data-led decision making across the Paytm Ads platform. This role works closely with Product, Data Engineering, Sales, and Operations teams to analyze product performance, user behavior, and campaign outcomes, translating data into actionable insights that improve advertiser and platform performance. Key Responsibilities: ● Build and maintain automated dashboards and BI reports for key product and revenue metrics. ● Write advanced SQL queries to analyze large datasets and generate actionable insights. ● Analyze product usage, funnels, retention, and feature adoption to identify growth opportunities. ● Conduct A/B testing, cohort analysis, and segmentation to measure product and campaign impact. ● Track and optimize digital marketing performance metrics such as CAC, ROI, CTR, and conversions. ● Translate business/product questions into structured analysis recommendations for stakeholders. Qualifications: ● B.E./B.Tech from a reputed engineering institute ● Experience in Product Analytics, Management Consulting, Business Strategy, or Sales/Marketing Analytics roles. ● Strong SQL expertise for large-scale data analysis

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

Who are we? FalconX is a pioneering team of operators, investors, and builders committed to revolutionizing institutional access to the crypto markets. Operating at the intersection of traditional finance and cutting-edge technology, FalconX addresses the industry's foremost challenges: Navigating the digital asset market can be complex and fragmented, with limited products and services that support trading strategies, structures, and liquidity found in conventional financial markets. As a comprehensive solution for all digital asset strategies from start to scale, FalconX operates as the connective tissue empowering clients with seamless navigation through the ever- evolving cryptocurrency landscape. Responsibilities Be part of a trading systems engineering team, dedicated to building out the core trading platforms. Work closely with cross functional teams to improve the system reliability, scalability and security. Engage in and improve the quality supporting the platform. Build and manage systems, infrastructure and applications through automation. Provide operational support to internal teams working on the platform. Work on improvements to bring in high efficiency, reduce latency, deploy systems faster. Practice sustainable incident response and blameless postmortems. Together with your engineering team, you will share an on-call rotation and be an escalation contact for service incidents. Implement and maintain rigorous security best practices across all infrastructure, with a focus on minimizing attack surface and ensuring data integrity. Monitor system health and performance with a keen eye for identifying and resolving issues before they affect trading activity. Manage user queries and service requests (often requiring in depth analysis of the technical and/or business logic of our systems). Proactive approach to problem analysis and resolution of production incidents. Manage Issue tracking and prioritisation of day to day production incidents. Manage platf

Overview: We are looking for a Senior Data Engineer with deep expertise in Lakehouse architecture, real-time data streaming, cloud data infrastructure, and microservices development on Azure Kubernetes Service (AKS). You will play a central role in designing and delivering next-generation data pipelines, BI solutions, AI/ML platforms, streaming APIs, and scalable microservices that power Guidepoint's research and analytics products. This is a high-impact, hands-on engineering role. You will work closely with data architects, data scientists, analysts, frontend engineers, QA, and DevOps teams to translate complex business requirements into scalable, reliable, and observable data systems. This is a Hybrid role from our Pune office. What You'll Do: Data Engineering & Lakehouse Design, build, and maintain ETL pipelines, data ingestion workflows, and table schemas on Azure Databricks to support BI, analytics, and AI/ML use cases Architect and optimize the Lakehouse using Delta Lake on Databricks, ensuring reliability, performance, and cost efficiency Build and support data pipelines from business applications such as Salesforce, NetSuite, and other enterprise systems Develop and maintain Knowledge Graph models, entity relationship structures, and NLP-based insight pipelines Maintain data governance, data privacy standards, and compliance best practices throughout the data lifecycle Perform root cause analysis on data and processes to identify opportunities for improvement Collaborate with data architects, scientists, and business consumers to populate and optimize the data warehouse for reporting and analytics Microservices & AKS Development Develop and support scalable web APIs and microservices using Python and Azure Platform Services Build new applications, services, and platforms; optimize existing solutions and refactor legacy components using modern, scalable architec

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. Senior Data Analyst - Field Analytics As part of Okta’s Go-To-Market Strategy & Operations group, the Field Analytics team drives insight and scale within the global field organization. We serve as the core engine for the analytics and strategic analysis that enable our leaders to make data-driven decisions that determine the trajectory of Okta’s growth. You will be responsible for building high-impact technical assets, ranging from executive Tableau dashboards to standardized Snowflake datasets, while staying at the forefront of AI-driven analytics workflows. You will partner with US-based leadership and local team members to ensure our reporting framework is scalable, accurate, and deeply aligned with Okta’s global GTM strategy. Job Duties & Responsibilities: Analytics Delivery: Design, build, and maintain high-visibility Tableau dashboards and reporting assets that provide actionable insights to business partners across the global organization Data Set Engineering: Build and optimize production-grade data sets in Snowflake, ensuring that all field data (Pipeline, Bookings, Productivity) is clean, structured, and easily accessible for self-service analysis. Documentation & Governance: Take ownership of the technical documentation for all GTM reporting assets, ensuring data lineage, metric definitions, and logic are clearly defined and accessible. AI Implementation: Champion the use of Generative AI tools to accelerate the analytics lifec

DR ASHWANI KUMAR VIJ : Have been retained by a Well Established, Fast Growing, Mid Size, Professionally Managed and Listed Organisation, manufacturing, marketing and exporting a range of High Quality light Engineering Products and having state of the art manufacturing facilities and ISO Certification for its Domestic and International customers to select 1 Chief Financial Officer ( CFO ) and Preferably for joining in December,2025. KRA for this Senior Management-Executive Leadership role : -Take responsibility (either directly or via staff and would be Supported by a Young Team of High Performing Professionals ) for all cash management, investments, insurance, budgeting, and financial reporting, and help drive the company’s financial strategy and hiring needs. -Coordinate development of annual operating, capital, and program budgets, as well as reporting for the same. -Ensure cash flow is compatible with operations by overseeing day-to-day accounting, recording, reporting, and internal-control activities of the organization. -Would understand and analyse the the current accounting Practices and Trends. -Develop and implement best practices and tools to ensure a well-controlled yet flexible organization that has strong fiscal management, project coordination, cross-team communications, and workflows. -Comply with national and local financial requirements by studying existing and new legislation and taking appropriate action. Job Responsibilities : -Work with senior managers to efficiently develop budget proposals, provide access to project finance information, and ensure contract/grant compliance and reporting. - Research revenue opportunities and economic trends, analyze internal operations, and identify areas for cost reduction and process enhancement. -Perform risk management through analysis of company liabilities and investments, and evaluate and manage capital structure and fundraising initiatives. -Monitor business performance with tracking tools

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

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE We are looking for a hands-on leader to own the data, analytics, and AI portfolio end to end — and the team that builds it. You are the single point of accountability between business stakeholders and the analytics organization: gathering and pressure-testing requirements, turning ambiguous problems into a prioritized roadmap, and leading the developers, analysts, and data scientists who deliver scalable, trusted, widely adopted products. This is not a role that manages from a distance. You will be in the requirements sessions, the data model reviews, the SQL, the dashboard design critiques, and the model evaluations — and you will be measured on adoption and business outcomes, not backlog size or model sophistication. WHAT YOU'LL DO Team Leadership & Talent ● Lead the team. Manage a talented team of senior and junior developers, analysts, and data scientists — setting direction on best practices, engineering standards, and alignment with team priorities. ● Develop people. Mentor team members, connecting their personal and professional goals to real career growth; set the standard for rigor and craft. Stakeholder Partnership & Requirements ● Be the trusted partner. Serve as the primary interface to the different organizations and run structured discovery to elicit underlying needs, not feature requests. ● Write requirements that hold up. Translate business questions into testa

About Paytm: Paytm is India's leading mobile payments and financial services distribution company. Pioneer of the mobile QR payments revolution in India, Paytm builds technologies that help small businesses with payments and commerce. Paytm’s mission is to serve half a billion Indians and bring them to the mainstream economy with the help of technology. About the Team: The Credit Risk Product Team is at the core of our lending operations, ensuring that our risk assessment models are efficient, scalable, and compliant with regulatory frameworks. The team collaborates closely with data scientists, engineers, and business stakeholders to develop and enhance credit risk models, decisioning frameworks, and risk mitigation strategies. By leveraging advanced analytics and machine learning, the team continuously refines underwriting processes to optimize loan performance and reduce defaults. About the Role: We are looking for a rockstar Senior Product Manager – Lending Risk to lead the Merchant Lending Risk charter at Paytm. You will own the risk product strategy that powers unsecured merchant loans, balancing aggressive growth with rock-solid credit quality and regulatory integrity, while partnering closely with Risk, Data Science, Engineering & Business. Key Responsibilities: * Define and drive the product roadmap for merchant lending risk. * Build and scale rule engines (BRE), decision engines, and model orchestration layers. * Implement audit-ready decision logs and explainability layers. * Build robust policy versioning and experimentation infrastructure. * Lead a team of credit risk analysts owning underwriting, risk, fraud, and monitoring. Requirements: * 5+ years of product management experience in the consumer or fintech industry. * Strong experience in unsecured merchant or SME lending preferred * Strong analytical and structured thinking ability. Why join us •A collaborative output driven program that brings cohesiveness across businesses through tech

About Paytm Paytm is India's leading mobile payments and financial services distribution company. Pioneer of the mobile QR payments revolution in India, Paytm builds technologies that help small businesses with payments and commerce. Paytm’s mission is to serve half a billion Indians and bring them to the mainstream economy with the help of technology. ABOUT THE ROLE Digital Gold & Silver is one of the fastest-scaling propositions in the Wealth portfolio. As Senior Business Analyst, you will own the numbers end to end from acquisition through retention, churn, revenue and GMV. This is not a reporting role: you will frame problems independently, find root causes, size opportunities, and convert them into growth recommendations that Marketing and Business teams act on. KEY RESPONSIBILITIES Business Insights & Growth • Drive data-led growth across the acquisition, retention, churn, revenue and GMV lifecycle. • Own deep-dive analytics to identify key drivers and opportunities for acquisition, engagement, retention and churn reduction. • Drive Revenue and GMV growth in line with the Annual Operating Plan (AOP) through actionable insights and growth recommendations. Customer & Lifecycle Analytics • Analyse cohorts, journeys, segments and behavioural trends to improve customer lifetime value and repeat transactions. • Build cohort and retention frameworks (D0/D7/D30, monthly triangles) across new, reactivated and repeat users. • Diagnose churn and cancellation drivers and recommend structural fixes, not surface-level corrections. Campaign Efficacy & Attribution • Measure and optimize campaign efficacy — identifying the right segments, propositions, channels and levers to maximize incremental GMV and revenue. • Conduct funnel, cohort, campaign and attribution analysis to identify performance gaps and recommend corrective actions. • Reconcile promotional burn against incremental GMV; establish ROI and cost-per-incremental-user benchmarks by campaign and segment. • Ana

Overview The Insights product is an offering for Guidepoint's Institutional investment and corporate clients, now in its 9 th year, that offers teleconferences, surveys, in-person events, along with a plethora of AI-facilitated data and content. The teleconferences live in a transcript library portal, which covers a wide of industries/topics that enables our clients to make informed decisions. All content features experts from Guidepoint’s proprietary global network and is conceptualized and hosted by former investment professionals (i.e. private equity/hedge fund), sell-side equity research analysts, and industry professionals. What You’ll Do: Conduct bottoms-up company research including reviewing earnings releases, reading investor presentations and analyzing regulatory filings Moderate teleconferences on timely topics featuring an expert from Guidepoint’s network with the goal of producing actionable insights for buy-side and PE clients Work with our AI team to systematize diligence questions with the goals of automating certain fundamental research solutions Generate ideas and follow key investor views among relevant strategies within European credit Can be an in-person position or a fully remote work-from-home position What You Have: Must possess exceptional written and spoken English skills at a professional level Bachelor’s degree or Master’s degree 7 years or more of deep fundamental analyst experience ideally in a Private Equity setting Must follow a bottoms-up, fundamental approach to investment research focusing on individual companies Has prior experience covering single name corporates on either the sell-side or buy-side. Some familiarity with capital structure or credit analysis, via the Broadly Syndicated Loan or Private Credit / Direct Lending markets. Ability to work in a fast-paced entrepreneurial environment Outgoing personality with the ability to speak with people at all professional

About Team: Financial Planning and Analysis” (FP&A) team works closely with the CFO, FP&A head, and all the other functions to enable and improve data-driven decision-making. The team enables financial planning, and allocation of funds, and uses structured problem-solving approaches along with a wide range of statistical / operations research techniques to create productized solutions for business teams to consume. Role: We are seeking to hire a talented Finance Professional for the FP&A team. This role offers a wide spectrum of responsibilities spanning from Financial and strategic planning, dynamic resource allocation framework for growth and P&L sustainability, driving efficiency charters across the P&L line items, performance management, business analytics and benchmarking with external companies. Responsibilities: Prepare monthly, quarterly and annual financial plans to be executed. Hold guardrails for investment to maximize topline growth Develop financial model for planning, budgeting, variance analysis and performance management Strategic Planning, AOP and LRP creation with thorough and detailed how-lists for topline and P&L line items Lead the MEC process with stakeholders from Business Finance and Controllership. Action upon the key risks and opportunities with agility Identify opportunities for efficiencies across the org and partner with respective teams to develop action plan to maximize the returns on investment for topline growth as well as cost optimization Leverage SQL to extract and manipulate financial data for analysis, Create and maintain dashboards and reports using SQL based tools Handle complex ad hoc request with a shorter turnaround time and supplement such request with appropriate analysis and insights for enabling business decision-making Assessment and dissemination of impact on business due to macro trends, benchmarking with national and international peer companies to identify the

Position Overview The Senior Analyst – Sales Operations will serve as a strategic operational partner responsible for translating sales incentive commission plans into robust back-end data processes and converting complex business requirements into data-backed executive insights. This role requires an analytical professional who combines hands-on expertise in Google Sheets, Advanced Excel, Salesforce CRM, data wrangling, pipeline analysis, and CRM hygiene with an AI-forward mindset to streamline cross-functional operations. Key Responsibilities Commissions & Incentive Management: Thoroughly understand business commission plans and architect back-end processes, automated workflows, and data models to accurately capture required inputs, run monthly/quarterly calculations, execute timely plan rollouts, and resolve participant queries with complete transparency. Business Requirements & Strategic Reporting: Deconstruct complex business requirements into structured analytical frameworks. Build, set up, and maintain reports and dynamic dashboards that drive data-backed decision-making across key commercial initiatives, including pipeline health analysis, revenue trends, and Salesforce CRM data hygiene projects. Data Wrangling & Spreadsheet Modeling: Perform hands-on data manipulation, cleansing, and complex performance/commission modeling using Google Sheets, Advanced Excel and to bridge upstream source data with compensation and reporting systems. Salesforce CRM & Reporting: Design, build, and maintain robust Salesforce reports, analytics dashboards, and operational tracking tools to provide key performance visibility to executive leadership. Process Optimization: Evaluate end-to-end sales and operational workflows, pinpoint operational friction, and propose scalable solutions to streamline business processes. Cross-Functional Stakeholder Management: Serve as a trusted advisor and liaison across Sales, Account Management, Finance, and Business Intelligence

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Senior Data Scientist-2 Overview Product Data & Analytics is a centralized global team that enables Mastercard product business units to make better data‑driven decisions. We build internal analytics partnerships that strengthen focus on business performance, portfolio and revenue optimization, initiative tracking, new product development, and go‑to‑market strategies. These capabilities are underpinned by our data platforms that enable insights to be delivered in a standardized, scalable, and cost‑efficient manner. Key Responsibilities Strategic Support • Design and implement value enablement frameworks that optimize pricing strategies, enhance pre-sales propositions, and ensure customer success. • Collaborate with global and regional teams to tailor solutions that meet regional business needs and align with Mastercard's objectives. • Provide data-driven insights and recommendations to optimize pricing, pre-sales strategies, and customer success outcomes. • Develop frameworks, project structures, and presentations to communicate key strategic initiatives. • Conduct data integrity checks and ensure quality and reliability in data used for analysis. • Translate complex business problems into analytical solutions that support strategic decision-making. Technical Leadersh