4 Manipulation Jobs

As a Graphic Designer at Above & Beyond, you will be responsible for creating and refining visual assets for various marketing materials. Your role will involve developing digital advertisements, social media posts, email campaigns, website graphics, and print collateral. Collaborating closely with the marketing team, you will conceptualize and design materials that align with brand guidelines and marketing objectives. Taking ownership of design tasks from concept through to final execution, you will ensure quality and consistency in all deliverables. Your responsibilities will also include designing visually engaging graphics, illustrations, and layouts to enhance the company's online presence and storytelling efforts. Working alongside copywriters and content creators, you will seamlessly integrate visual elements into marketing campaigns. Additionally, you will be involved in photo editing and manipulation, editing, retouching, and manipulating product photos, lifestyle images, and other visual assets to maintain high-quality standards across all marketing channels. You will source and select images for use in various marketing materials, ensuring they align with project goals. As part of the creative team, you will brainstorm and contribute creative ideas for visual content and campaigns that resonate with the target audience. Staying updated on industry trends and best practices in graphic design, you will work towards improving the quality and impact of visual assets consistently. Your role will involve active participation in creative meetings, contributing to discussions on design concepts and strategies. You will receive and incorporate feedback from team members and stakeholders to refine designs and achieve desired outcomes. Above & Beyond is a company that pioneers real estate success through innovative design, strategic branding, and data-driven marketing to accelerate sales. The comprehensive 360 solutions offered encompass branding, marketing, and sales, providing a unique approach to the real estate industry. The company aims to redefine the real estate landscape by integrating cutting-edge design with strategic branding and advanced marketing techniques. The ultimate goal is to deliver unparalleled results, driving growth and success for clients.,

At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture, and technology to become the best version of you. We are counting on your unique voice and perspective to help EY become even better. Join us and build an exceptional experience for yourself, contributing to a better working world for all. EY GDS Risk Consulting is a distinct industry-focused business unit offering a wide range of integrated services that combine deep industry experience with robust functional capability and product knowledge. The MENA Financial Services Risk Management (FSRM) team at EY GDS Risk Consulting Practice provides tailored risk solutions to assist clients in identifying, assessing, managing, and monitoring various financial and regulatory risks. This includes market, credit, operational, and regulatory risks arising from trading, asset-liability management, and capital markets activities. The division seeks collaborative individuals with strong ethics and attention to detail. Within FSRM, the Credit Risk (CR) team focuses on supporting clients, ranging from large domestic banks to global financial institutions, in implementing strategic, functional, and regulatory transformations across credit risk management within their banking book portfolios. Your role will involve working in diverse, multi-disciplinary teams to ensure high-quality outputs and service delivery to clients. You will be responsible for developing knowledge and implementing innovative solutions to meet clients" evolving needs. We value intellectual curiosity and a passion for driving solutions across organizational boundaries. Key Responsibilities: - Demonstrate deep technical expertise and industry knowledge, particularly in financial products focusing on lending solutions. - Design, assess, and benchmark financial risk management policies, frameworks, and methodologies across various risk domains such as credit risk, market risk, operational risk, liquidity risk, climate risk, and integrated risk topics. - Monitor project progress, manage risks, and communicate effectively with key stakeholders for successful outcomes. - Mentor and support the development of junior consultants. - Review, analyze, and validate work completed by junior team members to ensure accuracy and quality. - Adapt to projects involving model audits, validation, and development, showcasing flexibility and domain knowledge. Qualifications, Certifications, and Education: Must-have: - Graduate or Masters degree in a technical or quantitative discipline with a minimum of 3 years of relevant experience. - Strong foundation in statistics and econometrics. - In-depth knowledge of credit risk model development, validation, audit, and implementation in banking book portfolios. - Advanced technical skills in Python, SAS, SQL, R, and Excel. - Hands-on experience in data preparation, manipulation, and consolidation. - Strong documentation skills and ability to convey complex concepts clearly. - Effective multitasking skills and ability to deliver quality results under tight deadlines. Preferred: - Professional certifications such as FRM, CFA, PRM, or SCR. - Knowledge of regulatory modeling (BASEL, CCAR, IFRS9) and exposure to regulatory stress testing processes. - Familiarity with Interest Rate Risk in Banking Book (IRRBB) and data/business intelligence reporting. - Experience with machine learning models and their practical applications. - Willingness to travel for client engagements. Join EY and be part of a culture that offers training, opportunities, and creative freedom to make a difference. Work on inspiring projects with diverse clients, from startups to Fortune 500 companies. Benefit from education, coaching, and practical experience for personal development. Control your own growth with an individual progression plan, taking on challenging assignments in a high-quality, knowledge-sharing environment. Enjoy support, coaching, and feedback from engaging colleagues, opportunities for skill development and career advancement, and the freedom to shape your role in a way that suits you. EY is dedicated to building a better working world, creating long-term value for clients, people, and society, while fostering trust in the capital markets. With diverse teams across 150+ countries, EY leverages data and technology to provide trust through assurance and help clients grow, transform, and operate across various sectors. Through assurance, consulting, law, strategy, tax, and transactions services, EY teams tackle complex global issues by asking better questions to find innovative solutions.,

As a Short-term Analyst at 60 Decibels, a tech-powered impact measurement company, you will play a crucial role in supporting teams to deliver high-quality outputs for key clients across various sectors. Your responsibilities will involve overseeing data collection, ensuring quality assurance standards are met, owning tasks from start to finish, and contributing to drawing compelling insights for clients. You will have the opportunity to contribute to multiple client projects, ensuring high-quality output and timely delivery to directly impact the achievement of organizational goals. Additionally, you will support fellow team members with workflow and execution, which includes managing surveys on our platform, liaising with the research team during data collection, continuous quality checks, and data cleaning & manipulation. Your role will also involve conducting analysis and creating reports that tell a compelling story and provide actionable insights for clients while modeling the company values. To excel in this role, you are expected to bring compassion, dedication, and an excellent eye for detail. Thriving in a multitasking environment, you take personal accountability seriously and are known for your bias towards action. You are adaptable, embrace strategic risks, and learn from mistakes to drive great outcomes. With 1-2 years of relevant professional experience and a bachelor's degree, you possess excellent PowerPoint presentation and analytical skills, along with strong project management competence and communication abilities. Operating in a fast-paced, entrepreneurial environment, you demonstrate the capacity to prioritize and multitask effectively. Candidates interested in applying are encouraged to do so at their earliest convenience, as applications will be reviewed on a rolling basis. The compensation for this role ranges from INR 70,000 to 85,000 per month, with a duration of service spanning 12 weeks and the possibility of extension through December 2025. The Short-term Analyst will be based in Bengaluru, with the potential for a hybrid work setup. At 60 Decibels, you will be part of a fun and hardworking global team comprising smart, mission-driven individuals who blend an entrepreneurial spirit with a commitment to driving positive change in the world. The company culture is characterized by a slightly nerdy, not-take-ourselves-too-seriously vibe, as reflected in the monthly newsletter, The Volume. Full-time employees enjoy extra perks such as an unlimited leave policy and a monthly recharge day on the first Friday of each month. With a globally distributed team, you will have the opportunity to collaborate with colleagues from around the world. To learn more about 60 Decibels and our team values, we invite you to sign up to receive The Volume, visit our website at 60decibels.com, and read about our team values on our website. Please note that completing the application questionnaire will help us get to know you better, and we prioritize candidates who provide detailed responses to the questionnaire.,

Work Responsibilities The Palantir Developer will be responsible for designing and implementing modern data architecture solutions that facilitate enterprise-level transformation. Key responsibilities include: Data Architecture Design: Create and optimize modern data architectures that support advanced analytics and operational requirements. Pipelining: Develop and maintain efficient data pipelines using Palantir Foundry to ensure seamless data flow and accessibility for analytics. Advanced Analytics: Create and deploy advanced analytics products that provide actionable insights to stakeholders, enhancing decision-making processes. Artificial Intelligence Integration: Collaborate with data scientists to incorporate AI and machine learning models into data pipelines and analytics products, enabling predictive capabilities. Agentic AI Exposure: Leverage knowledge of Agentic AI to develop systems that can autonomously make decisions and take actions based on data insights, enhancing operational capabilities. Collaboration: Work closely with cross-functional teams, including data scientists, engineers, and business analysts, to gather requirements and deliver tailored solutions. Cloud Technologies: Utilize cloud-based tools and services to enhance scalability, security, and performance of data solutions. Best Practices: Implement best practices for data governance, quality, and security to maintain data integrity and compliance with relevant regulations. Continuous Improvement: Identify opportunities for process improvements and automation to enhance operational efficiency within data ecosystems. Documentation: Maintain comprehensive documentation of data architecture designs, pipeline configurations, and analytics processes. The Team Artificial Intelligence & Data Engineering: In this age of disruption, organizations need to embrace data-driven decision-making to Deliver Enterprise Value. Our Team Leverages Data, Analytics, Robotics, And Cognitive Technologies To Uncover Insights And Drive Transformation In Business. Key Initiatives Include Data Ecosystem Implementation: Collaborate with clients to implement large-scale data ecosystems that integrate structured and unstructured data for comprehensive insights. Predictive Analytics: Utilize machine learning and predictive modeling techniques to derive actionable insights and predict future scenarios. AI Solutions Development: Work on developing AI-driven solutions that enhance data analytics capabilities, including natural language processing (NLP), computer vision, and recommendation systems. Agentic AI Development: Engage in projects that involve the development and deployment of Agentic AI systems capable of autonomous decision-making and action-taking based on real-time data. Operational Efficiency: Drive operational efficiency by utilizing automation and cognitive techniques for data management, ensuring timely and accurate reporting. Client Engagement: Engage with clients to understand their unique challenges and tailor solutions that align with their strategic objectives. Innovative Solutions: Research and implement innovative technologies and methodologies that enhance data analytics capabilities and drive business value. Training and Support: Provide training and support to clients on data tools and platforms to ensure they can maximize the value of their data assets. Qualifications Required: Education: Bachelors degree in Computer Science, Data Science, Engineering, or a related field. Experience 3+ years of hands-on experience in data extraction and manipulation using various tools and programming languages. 3+ years of experience in engineering and developing Palantir pipelines, with a strong understanding of data integration techniques. 3+ years of experience collaborating with Palantir Foundry data scientists and engineers on complex data projects. 2+ years of experience working with AI and machine learning technologies, including model development, deployment, and performance tuning. Familiarity with Agentic AI concepts and applications, including experience developing or working with autonomous systems is a plus. Technical Skills: Proficiency in programming languages such as Python, SQL, or R, along with experience in statistical analysis and machine learning techniques. Problem-Solving: Strong analytical and problem-solving skills, with the ability to think critically and creatively. Communication: Excellent interpersonal and communication skills to effectively convey technical concepts to non-technical stakeholders.