Field Sales Executive Jobs

Education: Degree, Post graduate in Computer Science or related field (or equivalent industry experience) Experience: Minimum 5 years of Product experience in Finacle Core Banking product (Infosys/Edgeverve) Working experience on Finacle 11 requirement and product capability along with Customization architecture Experience in handling Finacle Interfacing requirements (Custom and Product APIs/Connect 24/Finacle Integrator) Need to have experience of direct interaction with Clients Technical Skills: Good understanding of Finacle Product Architecture & Customization layers. Finacle customization flow understanding (New custom menu, Reports - MRT & Jasper, Batch job, Product menu customization, FI, EOD-BOD process and debugging) Experience in best practices to be followed in Oracle (SQL, PL/SQL, Stored Procedures, Triggers, Functions) related to Finacle application. Experience in Finacle scripting, Unix shell scripting and Report designing. Good understanding of Finacle Integrator and feasible enhancements to the same. Functional Skills: Finacle Core Banking Functional knowledge Good understanding of Banking domain and terminologies used. Finacle certification from Infosys will be added advantage Finacle CRM and Admin module (FINFADM/SSOADM) Experience in following best Coding, Security, Unit testing and Documentation standards and practices Experience in Agile methodology. Ensure quality of technical and application architecture and design of systems across the organization. Effectively research and benchmark technology against other best in class technologies. Soft Skills: Able to influence multiple teams on technical considerations, increasing their productivity and effectiveness by sharing deep knowledge and experience. Self-motivator and self-starter, Ability to own and drive things without supervision and works collaboratively with the teams across the organization. Have excellent soft skills and interpersonal skills to interact and present the ideas

Education Degree, Post graduate in Computer Science or related field (or equivalent industry experience) Experience Extensive knowledge of Wealth Management, architecture, modules and hands on experience of front to back implementation of Wealth Management Suite Minimum 8 years of experience in Wealth Management Must have good experience of handling Trade Life Cycle Must have experience in implementing End to End solution in Wealth Management Must have good experience in API integration. Technical Skills Should have development experience in SQL-languages with understanding of SQL-databases Excellent understanding of the Asset Management and Investment Banking Experience in Business Analysis and System Implementation with extensive experience in Trading platforms Working knowledge of industry related protocols including FIX, EMSX and TSOX Experience in Wealth Management and Trading systems including Advent, SAXO, SWIFT, Bloomberg, Reuters General understanding of event driven systems Functional Skills Experience in Banking, Financial and Fintech experience in an enterprise environment preferred Experience in following best Coding, Security, Unit testing and Documentation standards and practices Experience in Agile methodology Effectively research and benchmark technology against other best in class technologies Focus on quality of the deliverables to ensure long term stability of the system Soft Skills Able to influence multiple teams on technical considerations, increasing their productivity and effectiveness, by sharing deep knowledge and experience Self-motivator and self-starter, Ability to own and drive things without supervision and works collaboratively with the teams across the organization Have excellent soft skills and interpersonal skills to interact and present the ideas to Senior and Executive management

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,

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,

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,

The Opportunity The world of design is changing rapidly, and the Pro Design team is leading that transformation. We are the Adobe organization behind Illustrator, InDesign, and emerging experiences that connect creativity, collaboration, and AI. Our teams are reimagining what professional design looks like for the next decade - building intelligent, connected tools that empower creators and teams to move faster without sacrificing craft. We are looking for a Senior Business Data Scientist who is creative, analytical, and unafraid to question the status quo and shape the decisions that move key business metrics at scale. Join us and build Adobe’s future products! What you'll Do Map the user funnel and build the metrics, cohorts, and dashboards that Product and Growth rely on to see how users move across free, trial, and paid tiers—and pinpoint where they drop off. Dig into the hard questions (what drives activation, which behaviors predict retention and expansion) and build propensity models for conversion, upgrade, churn, and expansion that feed real-time targeting and in-product nudges. Find and size growth bets and work with Product to ship them. Set north-star, driver, and guardrail metrics with your partners, and stand up multivariate experiments across onboarding, paywalls, in-product prompts, and pricing. What you need to succeed Minimum Requirements: Bachelor's degree in a quantitative field (Statistics, Mathematics, Computer Science, Economics, Engineering, or similar) or equivalent practical experience. 5+ years of experience in data science, product analytics, or a similar quantitative role. Proficiency in SQL and Python (or R) for data manipulation, analysis, and modeling. Hands-on experience designing and analyzing A/B tests and interpre

The Regulatory Risk Officer is a strategic professional who stays abreast of developments within own field and contributes to directional strategy by considering their application in own job and the business. Recognized technical authority for an area within the business. There are typically multiple people within the business that provide the same level of subject matter expertise. Responsible for driving customer remediation analytics to completion including execution and validation. This position will be part of the USCC Centralized Customer Remediation Team (CCRT). The objective of the USCC CCRT is to quickly assess and identify customer impacts and ensure remediation is completed promptly with the appropriate detailed documentation required by Internal Audit and the Regulators. These activities will be conducted in close partnership with the Issue Owners and Managers within U.S. Consumer Cards. Excellent communication skills are required to negotiate internally, often at a senior level. Highly developed communication and diplomacy skills are required, to guide, influence, and convince others, in particular colleagues in other areas and occasional external customers. This role is for an individual contributor. Responsibilities: Subject matter expert related to data analytics and remediation methodology. May train, mentor, and coach lower-level staff. Owns, designs, and manages client remediation population and impact analyses for USCC owned and impacted issues, including those that are Regulatory. Provide expertise and guidance related to the USCC remediation processes and policies, partners with other department leaders to define, prioritize, and execute remediation programs. Create comprehensive documentation that conforms to Internal Audit and Regulatory expectations. Provide thought leadership and effective challenge throughout the data remediation lifecycle (including root

The Regulatory Risk Officer is a strategic professional who stays abreast of developments within own field and contributes to directional strategy by considering their application in own job and the business. Recognized technical authority for an area within the business. There are typically multiple people within the business that provide the same level of subject matter expertise. Responsible for driving customer remediation analytics to completion including execution and validation. This position will be part of the USCC Centralized Customer Remediation Team (CCRT). The objective of the USCC CCRT is to quickly assess and identify customer impacts and ensure remediation is completed promptly with the appropriate detailed documentation required by Internal Audit and the Regulators. These activities will be conducted in close partnership with the Issue Owners and Managers within U.S. Consumer Cards. Excellent communication skills are required to negotiate internally, often at a senior level. Highly developed communication and diplomacy skills are required, to guide, influence, and convince others, in particular colleagues in other areas and occasional external customers. This role is for an individual contributor. Responsibilities: Subject matter expert related to data analytics and remediation methodology. May train, mentor, and coach lower-level staff. Owns, designs, and manages client remediation population and impact analyses for USCC owned and impacted issues, including those that are Regulatory. Provide expertise and guidance related to the USCC remediation processes and policies, partners with other department leaders to define, prioritize, and execute remediation programs. Create comprehensive documentation that conforms to Internal Audit and Regulatory expectations. Provide thought leadership and effective challenge throughout the data remediation lifecycle (including root

Any gender Degree holder required Experience 3 to 8 years required in same field Job location Ernakulam Good communication skills For more details kindly contact me on 7907299852

At NVIDIA, we are at the forefront of technological innovation, pushing the boundaries of AI and accelerated computing. Our team in Santa Clara, CA is looking for a Senior Software Engineer in Test to join us in this exciting journey. This is a ground breaking opportunity to work with powerful technology, collaborate with a world-class team, and make a significant impact in the industry. If you are passionate about AI and quality assurance, and thrive in a dynamic environment, this role is perfect for you! What you'll be doing: Accomplishing test cases to validate NVIDIA enterprise offerings, such as NIM, NeMo, and BioNeMo. Crafting, implementing, and maintaining automated test cases and supporting automation infrastructure. Collaborating with development teams to triage issues, perform root cause analysis, verify fixes, define additional tests, and improve test plans. Investigating and bringing to bear AI capabilities to accelerate the Quality Assurance (QA) process. What we need to see: MS or PhD degree in computer science or relevant field, or equivalent experience. At least 5&#43; years of professional experience in software testing. Proficiency in oral and written English. Comfort working with Linux OS. Strong skills in shell and Python programming. Strong knowledge of QA principles and background in software testing. Experience using AI development tools for crafting test plans, developing test cases, and automating test cases. Excellent problem-solving abilities. Strong interpersonal skills, quick learning ability, proactive approach, innovation, and dedication. Self-motivation and a passion for learning new hardcore technology. Knowledge in LLM and AI models is a plus. <

... Address: Unilever Industries Private Limited Tower A Prestige Shantinikethan Whitefield Main Road White field Bangalore - 560048 Karnataka Facility: HUL- BANGALORE UNIOPS KITCHEN -FS Experience: 10 - 15 years Source: Sodexo India | Job Code: IJP571758

... Address: Unilever Industries Private Limited Tower A Prestige Shantinikethan Whitefield Main Road White field Bangalore - 560048 Karnataka Facility: HUL- BANGALORE UNIOPS KITCHEN -FS Experience: 1 - 1 years Source: Sodexo India | Job Code: IJP568713

Replacement of Mr. Hitesh Sagar (S00266071) (Field Recruiter) who has left on 31st July 2026. Due to some technical glitch his name is not reflecting in resignation hence we are raising the Buffer WRF. Please approved. Address: 10th Floor, B/2, West gate business bay, corporate road, off. S G Highway, makarba, Ahmedabad Facility: GJ HR Recruitments Qualification: 12th Experience: 1 - 10 years Source: Sodexo India | Job Code: IJP562688

... Address: Unilever Industries Private Limited Tower A Prestige Shantinikethan Whitefield Main Road White field Bangalore - 560048 Karnataka Facility: HUL- BANGALORE UNIOPS KITCHEN -FS Experience: 2 - 3 years Source: Sodexo India | Job Code: IJP565226

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Micron Taiwan is excited to meet talented students in Seoul this Nov.! Join our global team and help shape the future of memory and storage solutions. &#x1f50d; Who We’re Looking For We’re seeking passionate and driven students with STEM or related backgrounds who are graduating soon or have recently graduated. Ideal candidates will meet the following requirements: Bachelor’s degree or above in a STEM-related field such as Electrical Engineering, Electronics Engineering, Chemical Engineering, Physics, Materials Engineering, or other relevant disciplines. Will graduate before 2028 or have less than two years of work experience. Proficiency in English is required. Mandarin speaking ability or interest in learning Mandarin is a strong plus! If you're enthusiastic about semiconductor manufacturing and engineering innova