Systematic Trader Jobs

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. 1.Partner with IT support to solve issue that is currently affecting Micron production activities. 2.Proactively monitor and drive performance of AMHS and equipment KPI and address any issues in a timely manner to achieve Fab quality, cycle time, yield and cost. 3.Schedule and perform preventative maintenance on assigned tools sets, and use mechanical, electronic and PC/software skills to troubleshoot and repair equipment issues. 4.Assist in AMHS/tool installation, relocation and upgrades. 5.Assist AMHS equipment and vendor support on long term down equipment and chronic process issue. 6.Improve tool uptime through quality workmanship, systematic problem solving and troubleshooting. 7.Document all maintenance performed in established check sheets and tracking programs, and routinely review maintenance check sheets and procedures. 8.Keep the Lead Engineer/Manager updated on all AMHS related issue and long term down status. 9.Follow all safety and environmental procedures to ensure compliance with applicable regulations. 10.Be an active participant in the EHSS program by reporting all EHSS-related concerns or problems immediately to the appropriate individual (ERT, Supervision, etc.). 11.Be proactive in reducing incidents of personal injuries, safety hazards or environmental releases (Job Hazard Analysis; JHA). 12.Take the initiative to assume added responsibilities. 13.Set up equipment maintenance guideline. 14.Establish and improve equipment repair system. 1

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. Execute Fault Detection and Classification (FDC) process control change requests in a timely manner, to detect inline process or equipment abnormalities Assist engineers in testing of software releases Demonstrates good troubleshooting skills and logical thinking in identifying systematic quality issues and carrying out first level of data mining Publish clear reports and highlights on the key points in the weekly trend/issue tracking. Ability to summarize and highlight based on the observations and findings from the 1st level data mining Actively support engineers on non-engineering request (eg. Data compilation and presentation) All team members are required to complete their learning items within the stipulated time frame Ensure compliance to Site Process Control Business Process and Business Rules Requirements High School Diploma or equivalent experience <spa

Are you a self-starter who loves tackling challenging problems in a team-oriented, fast-paced environment? Do you love the idea of living in Vancouver? Our quantitative equity team is expanding, and we are looking for talented individuals whose skills and interests are aligned with the team’s mission to deliver superior investment performance to our clients through a disciplined, systematic investment approach. Jobs within our team lie at the exciting intersection of research, data science, finance, and technology. A culture of innovation, career growth and success through collaboration has enabled us to deliver superior investment performance to our clients for over two decades. Today, our clients entrust us with over $78+ billion USD in financial assets. What You Will Do This is an exciting opportunity for individuals who are passionate about learning the quantitative equity investment management business and excited to tackle a broad range of investment, mathematical, and technology challenges. You will start with a comprehensive training program, learning about various elements of quantitative equity investment management. You will then continue to a specialized group within our team based on a combination of your fit and preference. Your specialized role may involve building, scaling, managing, monitoring, and/or trading our quantitative model and portfolios. You will be supported with coaching and mentorship from senior members of the team. We are creating the conditions for you to grow your career steadily over time. Groups within our team where you can contribute and gain valuable experience include: Investment Process Management Our Investment Process Management (IPM) group plays a central role in building highly scalable, efficient, and robust process management systems. The processes and infrastructure we maintain are critical in the team’s ability to d

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. Role and Responsibilities Highly motivated with passion, detail oriented, systematic and methodical approach in IC layout design Perform layout verification like LVS/DRC/Antenna, quality check and documentation. Demonstrate leadership Skill in planning, area/time estimation, scheduling, delegation and execution to meet project schedule/milestones in multiple project environment. Lead the layout design and development of complex analog, mixed-signal, and digital blocks and full chip level integration Ensure timely delivery of high-quality block-level layouts, meeting project milestones and design specifications. Perform layout verification including LVS, DRC, and antenna checks, along with thorough quality reviews and documentation. Collaborate with global engineering teams to ensure successful execution and integration of layout projects. Provide technical guidance and mentorship to junior team members, reviewing sub-block layouts and supporting their development. Demonstrate leadership in planning, time estimation, scheduling, and execution across multiple projects. Contribute actively to project management and cross-functional coordination. Proven experience in IC layout design with a systematic and methodical approach. Strong attention to detail and a passion for high-quality design. Excellent communication and collaboration

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. Job Responsibilities: Lead PI loop structural uniformity integration and cross loop integration projects for critical loops such as Capacitance loop to address yield and quality challenges, collaborating with cross module process/PI technical experts and suppliers to improve integration structures to achieve BIC yield performance. Build Model based root cause analysis and enhance critical inline defense line for structure including uniformity. Maintain and enhance product integration programs or loop domain knowledge and technical expertise, explore innovation opportunities with strategic thinking and systematic approach. Node over node shift left uniformity, bevel and backside BKM implementation at early development stage to accelerate wafer overall and edge yield and quality ramping. Promote worldwide synergy for improved benchmark performance and efficiency gains through global project management and execution, network BKM leveraging and enhancement, and business process creation and re-engineering. Job Requirements: Good logical thinking and knowledge in Semiconductor Fabrication process flows, interaction of different processes and how changes affect yield, device performance and reliability. Understanding of DRAM and NAND operation and structure to decipher parametric, probe and qual data from both front end and backend assembly process. Good model based problem solving together with data driven decision making, and presentation skills. Proven abili

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. Responsibilities and Tasks: Promote worldwide synergy for improved benchmark performance and efficiency gains through global project management and execution, network BKM leveraging and enhancement, and business process creation and re-engineering. Lead the PI Loop taskforce and/or team in network to address yield and quality challenges, optimize process flow in a timely manner to achieve BIC yield performance. Maintain and enhance domain knowledge and technical expertise, explore innovation opportunities with strategic thinking and systematic approach. Maintain a strong and open relationship with peer group and managers in other functional areas within central team and outside in areas such as Fab, TD, Product Engineering, GQ. Communicate and respond to issues in a timely manner. Help drive to fix the issue where necessary. Demonstrate ability to give effective presentations to both small and large groups on project updates and new initiative proposals. Periodically follow up with manager to ensure all type of goals are met and get assistance to remove obstacles. Travel to Micron Fab locations as necessary for face-to-face work. About Micron Technology, Inc. We are an industry leader in innovative memory

About AQR Capital Management AQR is a global investment management firm built at the intersection of financial theory and practical application. We strive to deliver superior, long-term results for our clients by seeking to filter out market noise to identify and isolate what matters most, and by developing ideas that stand up to rigorous testing. Underpinning this philosophy is an unrelenting commitment to excellence in technology — powering our insights and analysis. This unique combination has made us leaders in alternative and traditional strategies since 1998. AQR takes a systematic, research-driven approach, applying quantitative tools to process fundamental information and manage risk. Our clients include institutional investors, such as pension funds, insurance companies, endowments, foundations and sovereign wealth funds, as well as financial advisors. Your Role Conduct comprehensive and timely reviews of various materials, including but not limited to marketing and other client-facing material, client reports, research papers, webisodes, and social media content. Assess materials across multiple asset classes and investment strategies for compliance with applicable global regulations (e.g., SEC Rule 206(4)-1, FINRA Rule 2210, ESMA, FCA and non-US regulatory regimes) and internal firm policies. Apply expertise in the review of complex presentations, including hypothetical and back-tested performance, reviewing for regulatory compliance. Provide proactive, clear, and solution-oriented guidance to business development and investment professionals regarding compliant advertising and performance reporting practices. Interpret and communicate about relevant regulatory rules and developments, translating them into actionable compliance and business guidance. Maintain relevant industry and regulatory knowledge, including monitoring and providing feedback on relevant rulemaking initiatives, risk alerts and other regulatory matters. Assist with the impl

The AV Safety Software Data Engineer will play a critical role in supporting Zoox’s safety data reporting and compliance efforts. In this position, you will work with large-scale fleet data to gather, analyze, and triage events for internal safety learnings and external compliance requirements. As an AV Safety Software Data Reporting Engineer, you will operationalize defined requirements through data-driven analyses, dashboards, and workflow automations. You will implement innovative processes that are rigorous, diligent, and systematic, as well as applicable and repeatable, as Zoox continues to scale, to ensure reliable and safe operations. You will continually improve our internal data-gathering, analysis, and reporting processes and work closely with our Legal, Policy, Operations, Vehicle Engineering, Safety Design, Software, Hardware, and Communications teams to ensure a rigorous, disciplined, quantified engineering approach. A successful candidate will be able to support other Zoox safety efforts, including Operational Safety, Safety Planning, Policy, System Design, and Risk Assessment activities. In this role, you will: Create, implement, and maintain our internal and external safety data gathering, analysis, and reporting processes, and work cross-functionally with other internal organizations to ensure accurate regulatory reporting. Support the implementation of safety learnings & data programs, processes and dashboards for awareness and decision-making, including systematically ensuring representation and input from key internal stakeholders. <span style="font-size: 12pt;

Why Work with Us Solve impactful problems. At Seven Research, our close-knit team unites brilliant minds passionate about pushing technological and scientific boundaries in the global markets. We provide state-of-the-art resources and cultivate intellectual freedom, enabling our people to develop groundbreaking solutions to the most complex challenges of our field. Our collaborative approach celebrates excellence from everyone, regardless of tenure. Your Role Our Deep Learning Researchers expand the boundaries of quantitative finance through the development of advanced deep learning models. You will conduct rigorous, systematic research to pioneer advanced methodologies, uncover sophisticated insights, and implement innovative approaches within our teams. What We’re Looking For We seek talented and knowledgeable problem-solvers with strong backgrounds in deep learning to come build with us. No financial knowledge is expected. Deep Learning Researcher candidates should have demonstrated strong applied research and critical analysis skills. We value team members who communicate clearly and can exercise ownership over projects. If working on challenging quantitative problems in a close-knit, research-driven environment excites you, we’d love to get to know you. The ideal candidate will possess most of the following: PhD degree in computer science or a related field Mastery of deep learning techniques and proven track record of building sophisticated predictive models using deep learning Publications in relevant journals and/or conference presentations Strong programming skills, including mastery of Python Strong problem-solving skills and research acumen Strong communication skills to articulate complex technical concepts Experience working with large data sets and computationally intensive projects Experience with high-performance computing Job Compensation Range The base salary range for this role is prorated and based on a full-time salary range of $200,000 -

Why Work with Us Solve impactful problems. At Seven Research, our close-knit team unites brilliant minds passionate about pushing technological and scientific boundaries in the global markets. We provide state-of-the-art resources and cultivate intellectual freedom, enabling our people to develop groundbreaking solutions to the most complex challenges of our field. Our collaborative approach celebrates excellence from everyone, regardless of tenure. Your Role Our Deep Learning Researchers expand the boundaries of quantitative finance through the development of advanced deep learning models. You will conduct rigorous, systematic research to pioneer advanced methodologies, uncover sophisticated insights, and implement innovative approaches within our teams. What We’re Looking For We seek talented and knowledgeable problem-solvers with strong backgrounds in deep learning to come build with us. No financial knowledge is expected. Deep Learning Researcher candidates should have demonstrated strong applied research and critical analysis skills. We value team members who communicate clearly and can exercise ownership over projects. If working on challenging quantitative problems in a close-knit, research-driven environment excites you, we’d love to get to know you. The ideal candidate will possess most of the following: PhD degree in computer science or a related field Mastery of deep learning techniques and proven track record of building sophisticated predictive models using deep learning Publications in relevant journals and/or conference presentations Strong programming skills, including mastery of Python Strong problem-solving skills and research acumen Strong communication skills to articulate complex technical concepts Experience working with large data sets and computationally intensive projects Experience with high-performance computing Job Compensation Range The base salary range for this role is $200,000 - $300,000. This does not include other forms of co

Manager– HRBP Roles and Responsibilities Role: The Manager– HRBP is responsible for partnering with FWD teams at Myntra. Responsible for building a strong HR relationship with stakeholders, drive performance management, engagement, compliance of HR practices and guidelines. The associate will understand requirements of business (data/queries) offering solutions. Human Resources Business Partners work closely with management to increase the organizational health of the business. Provide leadership in the implementation and execution of related policies and guidelines; organizational design; company culture and employee development. would influence and partner with other groups around the company (legal, finance, recruiting, etc.) to advocate for business needs. HRBP also consult with employees and managers to address employee grievances and issues with a systematic approach. HRBPs participate in company-wide initiatives and programs while meeting the needs of their businesses. Key skills and abilities of a HRBP include coaching, consulting, facilitation, influencing, communication, process development, analysis and problem solving. Responsibilities: Generalist: ? To be a catalyst with Business to drive HR policies &amp; processes. ? To understand business environment &amp; priorities ? Work with business to address management requests for analysis on payroll cost, leaves, performance etc. ? To ensure that the sensitive issues are handled effectively and are brought to a logical conclusion with constant communication to relevant stakeholders Performance Management: ? To drive the philosophy for PMS as defined in the process ? Manage the execution of performance management e.g. annual and mid year promotions, feedbacks with Time line adherence ? Handling grievance on cases to cases basis and informing relevant stakeholders Resource Management: ? Ensuring personnel information is maintained in all appropriate systems; monitor actual

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

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

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 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 Develop, test and deploy data pipelines, applications and services Re-shaping, aggregating, enhancing and creating features from datasets Engaging with vendors and internal stakeholders to understand characteristics of datasets Defining and automating qualitative data alerts and reports Partnering closely with investment teams to ensure their data requirements are met Perform preliminary analysis and research to be shared with investment teams REQUIREMENTS 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 Financial industry experience preferred but not required Strong organization, communication and interpersonal skills Attention to detail and a love of processes Strong oral and written communication skills Ability to exercise sound judgment in assessing and determining how to handle queries, calls and issues Ability to multitask and prioritize assignments Commitment to the highest ethica

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 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 Develop, test and deploy data pipelines, applications and services Re-shaping, aggregating, enhancing and creating features from datasets Engaging with vendors and internal stakeholders to understand characteristics of datasets Defining and automating qualitative data alerts and reports Partnering closely with investment teams to ensure their data requirements are met Perform preliminary analysis and research to be shared with investment teams REQUIREMENTS 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 Financial industry experience preferred but not required Strong organization, communication and interpersonal skills Attention to detail and a love of processes Strong oral and written communication skills Ability to exercise sound judgment in assessing and determining how to handle queries, calls and issues Ability to multitask and prioritize assignments Commitment to the highest ethica