New Business Account Executive Jobs

WPP is the trusted growth partner for the world’s leading brands. We unite cutting-edge media intelligence and data solutions, world-class creativity, next-generation production, transformative enterprise solutions and expert strategic counsel in a single company – powered by exceptional talent and our agentic marketing platform, WPP Open, to help our clients navigate change, capture opportunity and deliver transformational growth. We work with the world's most valuable brands and have global reach across 100+ markets, with deep local expertise. Our people are the key to our success. We're committed to fostering a culture of creativity, belonging and continuous learning, attracting and developing the brightest talent, and providing exciting career opportunities that help our people grow. For more information, visit WPP.com. Why we're hiring: WPP Media is embarking on a transformative data journey through Databridge —our internal comprehensive data strategy and framework designed to unify our fragmented global data landscape. We are moving from isolated, market-specific implementations to a standardized, scalable, cloud-agnostic, and AI-ready data platform built on a modern tech stack: dbt, Databricks, Python (dlthub), and GitHub Actions . As Data Operations Lead , you will establish and head our new Data Integration & Operations team in Chennai. This is a build-and-run role : you'll define how the team operates while leading day-to-day delivery of operational excellence across global data products. You will be the custodian of production —owning the operational layer including CI/CD automation, deployment pipelines, monitoring, data quality enforcement, incident management, and support. This role requires deep technical knowledge of Databricks and modern data platforms, alongside the ability to lead, mentor, and scale a growing team. What you'll be doin

Role Summary : A Customer Support Analyst Level II works within the Customer Support Center to meet the needs of GHX's important customers. The CSA-II will develop a strong working knowledge of our leading edge GHX Internet B2B exchange system and growth products, the Customer Support knowledge base, and Customer Support administrative tools. With this knowledge and tools, the CSA-II will answer customer's questions, assist customers in using the functions of the system, and help them when they have problems in using or connecting to the system. Extensive collaborative troubleshooting and problem solving may be required at times. CSA-II will perform these activities with the help of guidelines to assure efficiency, reliability, and quality. The CSA- II works on problems of diverse scope where analysis of situations requires technical expertise and the use of logical diagnostic skills, including a strong working knowledge of EDI-X12. Roles & Responsibilities: Acts as a primary point of contact at GHX for its customers who reach out to GHX via telephone, email, and the GHX Community Web Portal. Works directly with customers to help meet their needs and solve their problems, including systems, specific products, and general information. Works cooperatively with other team members and departments to develop effective and timely solutions for customers. Utilizes Customer Relationship Management System ‘Salesforce’ to record and research customer information and to record all the customer's questions, problems, and solutions. Uses the Customer Support Knowledge Base to assist customers and provide immediate resolution to their problems. Contributes to the Customer Support Knowledge Base in order to provide symptom and resolution information about new issues and update information for known issues. Understands the roles and skillsets of peers and extended departments in order to effectively escalate issues that cannot be resolved during live customer call. Provides ass

Toradex is a global company strongly focused on engineering & technology. We’re powered by a diverse & uniquely gifted workforce. We pursue the best people to propel our innovative vision of embedded computing and IoT. If you’re interested in being a driving force at an agile technology company, engineering clever computing solutions & helping other companies bring their products to life, we should talk. ABOUT US Toradex Solutions Inc. is a premier provider of high-tech electronics design, and full cycle product development and manufacturing in the heart of Toronto. Our first-class services have helped customers across North America and Europe develop innovative products in a diverse range of sectors, including industrial automation, healthcare, aerospace, and more. We are seeking an individual who is ready to give their best to join us as we pursue new and exciting technologies. JOB DESCRIPTION We are looking for a Junior Project Manager to join our team at the Mississauga facility. As a Junior Project Manager, you will work with our highly talented team to manage state-of-the-art and innovative projects for our customers. ROLE & RESPONSIBILITES Coordinate engineering projects from quotation through engineering, manufacturing, and completion. Develop and maintain project schedules, milestones, and deliverables while monitoring project progress, identifying risks, escalating issues appropriately, and identify opportunities to improve project efficiency and delivery. Coordinate with Engineering, Manufacturing, Procurement, and other internal staff to support timely project delivery. Serve as a primary customer contact throughout the project lifecycle, managing inquiries, meetings, updates, and correspondence while communicating project timelines, deliverables and changes clearly and proactively to internal and external stakeholders. Facilitate communication between customers and engineering teams without independent technical design responsibility. Id

About PayPay India Referral Hiring ▼About PayPay India Referral Hiring At PayPay India, we are strengthening our referral hiring activities (hiring through referrals from employees)! To be eligible for this program, applications must be made based on referral from an acquaintance or a friend who is currently working for PayPay India or PayPay corporation in Japan. If you can relate to the "PayPay 5 senses" which are important work values for PayPay group employees, you will surely enjoy working in this environment! Let's create the No. 1 fintech company together! To apply for a job opening, please click on the “ENTRY” button on this page and fill in the necessary information. Our Hiring team will be in touch with you soon! *1 To apply via this program, you need to fill in the name of the employee working at PayPay India Private Limited. or PayPay corporation in Japan. (the person who is referring you to the company). *2 After your application is complete, we may ask the employee you have stated in the form to confirm whether or not he/she has introduced you to the job opening. *3 This form must be completed by the applicant (no substitutions) Current Job openings at PayPay India Backend Engineer Senior Backend Engineer QA Engineer Product Designer Engineering Manager Senior Technical Program Manager Data Engineer ▼About PayPay India PayPay, a fintech company providing a service enjoyed by over 75 million users since its launch in 2018 in Japan. The company is now home to a very diverse team of members from more than 50 countries. We grew to a team of several thousand employees in Japan but are far from over. We are still in the Day 1. Every day, new members join us from all over the world to create new value and deliver it to society. Why India ? To build our Payment services, we got technical cooperation from Paytm (A large payment service company in India). And based on their customer-first te

DeepIntent is the leading healthcare marketing platform, purpose-built to help marketers plan, activate, and optimize data-driven campaigns with speed and precision. Trusted by the world’s top healthcare brands and their agencies, DeepIntent uniquely unites media, identity, and real-world clinical data to power privacy-safe, omnichannel marketing across every screen. Backed by patented technology and proven outcomes, DeepIntent’s platform delivers measurable audience quality and script lift at scale. Learn more at www.deepintent.com . What You’ll Do: We are looking for a Senior Software Engineer – Platform Operations based in Pune, India, who will play a key role in ensuring the reliability, performance, and operational excellence of DeepIntent's platform and data ecosystem. This role requires a strong engineering mindset with the ability to troubleshoot complex technical issues, understand distributed data architectures, and collaborate across Engineering, Product, Analytics, and Customer-facing teams to deliver timely and effective solutions. As part of the Operations organization, you will work closely with Engineering to support production systems, improve operational processes, and drive platform stability. The ideal candidate is a self-motivated problem solver who is passionate about learning new technologies, improving system reliability, and delivering exceptional customer outcomes through engineering excellence. Serve as the engineering interface between Customer-facing teams, Analytics, Product, and Engineering organizations. Partner with Platform Support, Client Success, and other customer-facing teams to investigate and resolve complex platform-related issues. Analyze application, API, and data pipeline issues to identify root causes and drive timely resolution. Develop and standardize operational tools, and interfaces to support analytical and operational use cases. Monitor data pipeline executions, investigate failures, and implement corrective and pre

Forward was founded in 2013 by four Stanford Ph.D.s, building the industry's first network digital twin: a mathematically accurate model of the production network. It's the foundation for autonomous networking, giving engineers and AI agents the ability to know the impact of every change before it touches production. That founding instinct still defines how we work. We're accurate and evidence-driven, relentless about clarity, and we'd rather be certain than comfortable, building a groundbreaking platform that transforms how teams run and secure networks across every major cloud and vendor environment. Global leaders like Goldman Sachs, PayPal, S&P Global, IBM, and Dell trust Forward, alongside fast-growing enterprises and government agencies, realizing an average of $14.2 million in annual benefits, according to IDC. Backed by top-tier investors, including A. Capital, Andreessen Horowitz, Goldman Sachs, MSD Partners, Omega Venture Partners, Section 32, and Threshold Ventures, and headquartered in Santa Clara, we're most proud of our team: curious people who'd rather build what doesn't exist than accept how things have always been done. Forward is currently seeking a Java Backend Software Engineer to work as part of our Apps - Server team. The work will involve developing our web server, REST APIs, and product core by writing clean and solid code that interacts with our other services and components. Responsibilities include: Developing new product features that leverage the network model to help users: visualize their network, understand how it behaves, see how it has evolved, answer specific questions, and plan changes Designing the data model for new product features Proposing and implementing REST APIs to support the Forward web application and to publish to customers Constructively reviewing product designs, technical design documents, and code changes Requirements: At least 5+ years of full lifecycle software development experience Expertise in Java (versi

About the Role We are looking for a skilled and detail-oriented Python Developer to join our team. In this role, you will focus on writing efficient scripts, analyzing complex data, and delivering actionable insights through clear and accurate visualizations. The ideal candidate will be a fast learner with a strong foundation in software development principles and a passion for solving challenging problems. Key Responsibilities Design and develop efficient Python scripts for data analysis and automation. Build accurate and insightful data visualizations to support decision-making. Implement and maintain alerting tools to monitor data workflows and systems. Collaborate with cross-functional teams to gather requirements and deliver solutions. Apply strong knowledge of data structures, algorithms, and OOP concepts to write performant, maintainable code. Continuously optimize and improve data processing pipelines for scalability and performance. Key Requirements Experience: 2–5 years as a Software Engineer or Python Developer. Strong proficiency in Python with the ability to quickly learn new frameworks and libraries. Hands-on experience with SQL for querying and data manipulation. Experience with data visualization/plotting tools (e.g., Matplotlib, Seaborn, Plotly). Familiarity with alerting and monitoring tools . Solid understanding of data structures, algorithms, and OOP concepts . Excellent problem-solving skills, analytical thinking, and attention to detail. Benefits: Our open and casual work culture gives you the space to innovate and deliver. Our cubicle free offices, disdain for bureaucracy and insistence to hire the very best creates a melting pot for great ideas and technology innovations. Everyone on the team is approachable, there is nothing better than working with friends! Our perks have you covered. Competitive compensation 6 weeks of paid vacation Monthly after work parties Catered breakfast and lunch Fully stocked kitchen International team outing

Graviton Research Capital is one of the largest quantitative trading firms in APAC, with a strong footprint across 40+ global exchanges and a rapidly growing presence across multiple geographies. We are a bootstrapped firm with a long-term vision, focused on building high-performance teams that operate at scale in some of the world’s most competitive markets. Since our inception, we have built a team of exceptional researchers, portfolio managers, and technologists. We are seeking an Operations Analyst ( middle office ) for our team in Singapore. What You Will Do: Oversee daily trade bookings, position and P&L reconciliations, settlement challenges, and corporate action events Ensure accurate and timely delivery of reports on trades, positions, cash holdings, costs, and P&L attribution Manage all operational aspects throughout the trade lifecycle, from initiation to settlement Liase with counterparties, custodians, and prime brokers to on-board new businesses and address daily issues Identify and drive process improvement initiatives, focusing on increasing operational efficiency and scalability. Design and implement automated solutions that streamline workflows using best practices in data management and automation. What You Need to Succeed: 2 to 5 years of Middle Office/Operations experience, preferably from a buy-side environment (Hedge funds, Prop Trading) or Prime brokerage Solid product knowledge in listed equities (a must), ETFs, derivatives, and FX Familiarity with Asian securities markets and their respective regulations is preferred Proficient in Excel, with practical experience in VBA, SQL, and Python Demonstrated experience in process improvements and designing automated solutions, ideally within a trading environment Excellent problem-solving skills with a proactive approach to identifying and addressing areas for improvement Why Join Graviton? Work in a high-performance, data-driven trading environmen

ABOUT CUBIST Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources. ROLE Dynamically managing portfolio risk by evaluating historical and real-time strategy performance. Overseeing automated trade execution and monitoring transaction costs. Supervising a small team of researchers and developers on a daily basis. Designing, researching, and managing sophisticated investment strategies by creating and engineering advance quantitative financial computer modeling systems to aid in analysis and research. Performing research to acquire historical and production data sources needed to build investment models. Designing and developing quantitative mathematical algorithms to link the diverse data sets from various providers. Engineering investment models that will make the buy and sell recommendations for the portfolios using advanced quantitative mathematic statistics and investment theory to design and program strategies that explicitly forecast risk, return, and trading costs. Using quantitative models to value securities. Conducting ongoing, cutting-edge quantitative research and analysis to enhance existing strategies and to expand into new markets. Developing aspects of successful statistical models, focusing on forecasting and optimization. Expanding trading universe and volume and expanding to other exchanges and products. REQUIREMENTS Advance degree (Masters or Ph.D.) in a computational or analytical field. Minimum of 10 years’ experience developing, researching or implementing quantitative models for equities, futures and/or FX. Hands on experience with all aspects of the research process, including methodology section, data collection and analysis, testing,

Point72 Academy 2026 Investment Analyst Program for Experienced Professionals – Singapore We’re training the next generation of Point72 discretionary investment professionals. The Point72 Academy Program is a ten-month paid training program designed to introduce you to the buy-side and prepare you for a potential career as a Fundamental Equity Financial Analyst at Point72. Upon successfully graduating from the Academy, you will have the opportunity to be placed in a role on a fundamental equity investing team. As an analyst at Point72, you will benefit from our mentorship culture and ongoing professional development resources that are dedicated to your continued growth beyond the Academy. WHAT YOU’LL DO: Learn the fundamental research and analysis skills needed to be an analyst at Point72 and apply intellectual curiosity in a role that values creativity, autonomy, and analytical rigor. Develop sophisticated company analysis and modeling skills from our Academy faculty, investment professionals and professors from some of the world’s leading universities. Learn statistics, accounting, financial modeling, data analysis, coding, and more. Complete a compliance training curriculum to prepare you for an analyst role. For all Academy Associates, at least a portion of this training will take place in our New York City office. Apply the skills you’ve developed to real-life situations as you rotate with two investing teams. Gain firsthand experience and valuable mentorship from our investment professionals during your rotations. Upon Successful Graduation: The Analyst Role Upon the successful completion of the Academy, you’ll have the opportunity to interview for an equity research analyst role at Point72, where you’ll work closely with your portfolio manager and team to develop a deep understanding of companies across industries and around the world. Through fundamental research and financial analysis, you’ll attempt to see change before it happens and turn th

ABOUT CUBIST Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources. ROLE Quantitative alpha research requires mastery of multiple domains. The best research requires original research ideas, good intuition, strong data analysis skills, and good research planning. Our research directly drives our investment decisions. This role is highly selective. We have a long history of training extraordinarily talented academic researchers to succeed in the investment services industry. Prior experience in the financial services industry is not required. RESPONSIBILITIES Provide research assistance to full-time researchers Assist with data collection and preliminary analysis Follow, digest, analyze and improve upon the latest academic research DESIRABLE CANDIDATES Ph.D. candidates in finance, economics, mathematics, statistics, physics, computer science, or other quantitative discipline. Programming in any of the following: R, Python, or C++. Experience with SQL. Solid research experience in the field of the candidate’s specialty. Strong analytical and quantitative skills. Detail-oriented. Demonstrated ability to learn and apply new methodologies to real life problems. Willingness to take ownership of his/her work. Ability to work both independently and collaboratively within a team. Strong desire to deliver high quality results in a timely fashion. Prior experience in the financial services industry is not required.

ROLE We are passionate about data. We collaborate to build elegant, effective, scalable and highly reliable solutions to empower predictive modelling in finance. Cubist’s Data Services (CDS) group is looking for a Data Scientist to join our dedicated data team. Our group is responsible for the timely delivery of comprehensive and error-free data to some of the most demanding and successful systematic Portfolio Managers in the world. As a Senior Data Scientist in the team, this individual will play a vital role in ensuring the smooth day-to-day implementation of a large research infrastructure, and the live production trading of billions of dollars of capital across global capital markets, including equities, futures, options and other financial instruments. RESPONSIBILITIES Onboarding novel datasets from a huge variety of sources into our platform Building processes, tools and frameworks to ingest, clean and deliver datasets Analysis of data for usability, cleanliness, feature extraction and proposed usage by investment teams Creation of in-house, value added, derived data products for consumption by investment teams Engaging with vendors and internal stakeholders to understand characteristics of datasets Partnering closely with investment teams to ensure their data requirements are met Research on new technologies (including AI solutions) to continuously improve data management and value-add for investment teams REQUIREMENTS PhD or Masters in Financial Engineering, Statistics, Computer Science or other disciplines involving rigorous quantitative analysis Strong programming skills in Python and SQL Experience working with AWS, Linux and Airflow preferred but not required 5+ years of experience as a Data Scientist or similar role Experience working with large data sets including predictive modeling Financial industry experience preferred but not required Strong organization, communication and interpersonal skills Intellectua

Here’s a summary of the role: Diligent is seeking an experienced Advisory & Consulting Manager (Risk & Audit) to join our growing Professional Services team, driving successful SaaS implementation delivery, client onboarding, and consulting engagements that deliver measurable value for our customers. In this role, you will lead customer adoption and implementation projects for Diligent’s Governance, Risk and Compliance solutions, with a strong focus on driving successful delivery, maintaining operational consistency, and executing implementations in line with Diligent’s established Services Strategy methodology. If you are a highly operational, execution-focused project leader who is passionate about technology and innovation, driven by creating meaningful client impact, building trusted partnerships, and delivering sustainable growth through exceptional consulting services, this is your next move. This role is open to candidates based in Singapore, Australia and New Zealand . Please note that we are unable to provide visa sponsorship, so applicants must already have the legal right to work in their country of residence. Candidates based in one of our office locations within Singapore, Australia or New Zealand are expected to work from the office at least 50% of the time in line with our hybrid working policy. For candidates based elsewhere within these countries, where we do not have an office, remote working arrangements will be considered. Here’s a breakdown of what you’ll do (not all of it, just the important stuff): Leading multiple end-to-end implementation of Diligent solutions for clients, from project kick-off through to go-live, ensuring projects are delivered on time and within scope. Proactively manage portfolio operations, accurate time and scope capture within project, project financials, team utilization, and time management. Mobilize the right team resources to ensure projects are delivered successfully, delays and overrun

Position Overview: The Services team has unrivalled expertise across corporate governance, audit, risk, compliance, and regulatory environments in many sectors. They have the scale and reach to deliver significant change smoothly, leveraging solution design and delivery to provide global, dynamic, flexible, and reliable outcomes with lasting results. Their vision is to partner as trusted advisors, working in joint teams that complement client strengths with the right mix of talent. A Delivery Analyst is an early‑career consultant in the Services team who supports delivery of audit, risk, and compliance solutions for clients. They assist with discovery and requirements capture by reviewing client documentation and helping lead discovery workshops to understand current processes and needs. Guided by senior advisors, they translate requirements into technical design documents, configure and iterate Diligent One prototypes, deliver enablement training, maintain issue logs, and follow the standard project methodology to deliver on time and in scope. Key Responsibilities Utilize your product and domain expertise to deliver customer requests and create a delightful customer experience. Be responsible for the timely and quality delivery of the services requested by customers. Collaborate with Customer Success Managers, Senior Managers and Managers to ensure any new service requests are handled appropriately or routed the request to the correct teams. Document and maintain the standard operating procedures for performing the customer-specific request. Consult with the global implementation teams and customer success teams to provide technical guidance to the customer to leverage more value from the product. Required Experience/Skills Ability to effectively engage customer per

About Scale Scale’s mission is to develop reliable AI systems for the world’s most important decisions. As the leading AI data foundry, we provide the high-quality data and full-stack technologies that power the world’s most advanced models — fueling breakthroughs in generative AI, defense, and autonomous vehicles. We partner with leading enterprises and governments to bring AI into production that performs when it matters most, combining rigorous evaluation with full-stack deployment so our customers can build AI they can trust. About the Team Applied Intelligence Systems (AIS) is part of the Scale Generative AI Platform (SGP), focused on pushing the frontier of what agentic applications can do across diverse enterprise and government use cases. We build the infrastructure and tooling that power agentic AI in production, paired with applied ML research, design, and evaluation to ensure these systems perform reliably at the scale our customers demand. AIS spans multiple workstreams — agent evaluation and oversight, orchestration and tool-use infrastructure, model and systems optimization, and applied research on new agent capabilities — and this role is not scoped to any single one of them. We’re growing fast, with increasing traction across both commercial and public sector customers, and we’re just getting started — this team will define what dependable, production-grade agentic AI looks like. About the Role As a Staff Machine Learning Research Engineer, you will operate across the full breadth of AIS’s technical needs — wherever the hardest ML problem in agentic AI happens to be that quarter. This could mean training and fine-tuning models, designing evaluation and observability systems, building improvement loops from production data, prototyping novel agent architectures, or designing internal systems and tooling that boost productivity across teams. You’re not tied to one team’s roadmap; you’re expected to move to where the technical leverage is highest, and t