Methodology Jobs

As a Sales Development Representative (SDR) on our Commercial Sales team, you will prospect, qualify, and generate customer leads to assist in Datadog’s overall business growth segment. By partnering with internal stakeholders, you will help IT and Technology innovators across markets recognize Datadog’s impact in their digital transformation and migration to the cloud. SDRs have the opportunity to grow their careers in Sales and continue contributing to Datadog team success. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Collaborate cross-functionally with various Datadog teams Drive initial prospect qualification and schedule discovery meetings Develop, present, and implement strategies for acquiring new business Conduct outbound outreach by cold calling and emailing prospective customers Learn to follow a well-defined methodology to help identify a customer's unique needs Who You Are: Motivated by a career in sales Someone with an innate curiosity to learn Have a desire to succeed alongside teammates Proven in your written and verbal communication Comfortable with being able to learn from rejection You have business-level fluency, both in verbal and written communication, in German Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your experience, we encourage you to apply. Benefits and Growth: High income earning opportunities based on self performance New hire stock equity (RSU) and employee stock purchase plan (ESPP) Continuous professional development, product training, and career pathing Sales training in MEDDIC and Command of the Message Intra-departmental mentor

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

Quantitative Researchers are responsible for independently conducting quantitative financial research with a focus on statistical and predictive models. 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 Researchers are responsible for independently conducting quantitative financial research with a focus on statistical and predictive models. Successful researchers manage all aspects of the research process including methodology selection, data collection and analysis, testing, prototyping, backtesting, and performance monitoring. Desirable Candidates M.S., Ph.D., or Ph.D. candidates in finance, computer science, mathematics, physics, or other quantitative discipline. Programming in any of the following: C++, C#, Java, or Python. Strong analytical and quantitative skills. Keen interest in quantitative research and metrics driven decision making. Demonstrated ability to conduct independent research utilizing large data sets. Detail-oriented. Passion for spotting trends in data. Willingness to take ownership of his/her work, working both independently and within a small team. Ability to work under pressure. Prior experience developing, researching, or implementing quantitative models for equities is preferred, but not required. We will provide training for new researchers without finance backgrounds.

JOB DESCRIPTION Researchers are responsible for applying, adapting, and extending existing results in the broad field of machine learning, while also conducting novel research as required. We are interested in all aspects of ML including: predictive modelling, clustering, time series analysis, natural language processing, and computer vision. Successful researchers manage all aspects of the research process including methodology selection, data collection and analysis, implementation and testing, prototyping, and performance evaluation. Some successful researchers have joined us from similar backgrounds at other firms. Others have joined from related fields or directly from academia and have thrived with hands on guidance from our large team of experienced portfolio managers and researchers. Our most exceptional team members combine strong technical skills and a passion for problem solving with an intense curiosity about financial markets and human behavior. DESIRABLE CANDIDATES Students enrolled in a PhD program in machine learning, computer science, statistics, or a related field. Superb analytical and quantitative skills, along with a healthy streak of creativity. Demonstrated ability to conduct independent research utilizing large data sets. Passion for seeing research through from initial conception to eventual application. Curiosity about financial markets Strong scientific programming in Python, R or Matlab. Empirical, detail-oriented mindset. Sense of ownership of his/her work, working well both independently and within a small collaborative team. We’re looking for exceptional colleagues with unparalleled passion. If you’d like your resume to stand out, tell us about your exceptional personal achievements, even if they have nothing to do with finance. Of course we love to hear more about specific engineering or data projects that you’ve worked outside of school, or as part of your curriculum. If you’re proud of the work you did we want to hear abou

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/Responsibilities: We are seeking a quantitative researcher for the Cubist Machine Learning Research group with experience in machine learning, especially recent deep learning and natural language processing technology. Researchers will use a rigorous scientific method to develop sophisticated trading models and shape our insights into how the markets will behave. Successful researchers manage all aspects of the research process including data ingestion and processing, data analysis, methodology selection, implementation and testing, prototyping, and performance evaluation. Researchers will be introduced to industry standard datasets, including understanding which data may be relevant to a certain model or financial problem; how to collect, parse, and clean the data; how to incorporate the data into innovative functional models; how to construct and develop features from raw data; and how to estimate effectiveness of such features. Researchers will also be provided with the opportunity to implement the full breadth of their knowledge and training to actively participate in all stages of research & development of financial models through use of machine learning. Based on experience from working with existing industry-standard models and algorithms, researchers will learn how to construct their own models in order to solve complex financial problems and enhance data prediction capabilities within the financial services industry. Requirements: PhD or PhD candidate in machine learning, computer science, statistics, or a related field Experience with sequential modeling and time

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. JOB DESCRIPTION Researchers are responsible for independently conducting quantitative finance research with a focus on statistical and predictive models. Successful researchers manage all aspects of the research process including methodology selection, data collection and analysis, testing, prototyping, backtesting, and performance monitoring. Some successful researchers have joined us from similar backgrounds at other firms. Others have joined from related fields or directly from academia and have thrived with hands on guidance from our large team of experienced portfolio managers and researchers. Our most exceptional team members combine strong technical skills and a passion for problem solving with an intense curiosity about financial markets and human behavior. DESIRABLE CANDIDATES MS or PhD candidates in finance, computer science, mathematics, physics, or other quantitative discipline 3-7 years of experience in alpha driven quantitative research for equities, futures, fixed income, credit, and/or FX Strong analytical and quantitative skills Demonstrated ability to conduct independent research utilizing large data sets Programming in any of the following: C++, Java, C#, MATLAB, R, Python, or Perl Detail-oriented Willing to take ownership of his/her work, working both independently and within a small team We’re looking for exceptional colleagues with unparalleled passion. If you’d like your resume to stand out, tell us about your exceptional personal achievements, even if they have nothing to do with finance. Of course we love to hear more about specific engineering or data projects that yo

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. JOB DESCRIPTION Researchers are responsible for independently conducting quantitative finance research with a focus on statistical and predictive models. Successful researchers manage all aspects of the research process including methodology selection, data collection and analysis, testing, prototyping, backtesting, and performance monitoring. Some successful researchers have joined us from similar backgrounds at other firms. Others have joined from related fields or directly from academia and have thrived with hands on guidance from our large team of experienced portfolio managers and researchers. Our most exceptional team members combine strong technical skills and a passion for problem solving with an intense curiosity about financial markets and human behavior. DESIRABLE CANDIDATES MS or PhD candidates in finance, computer science, mathematics, physics, or other quantitative discipline 3-7 years of experience in alpha driven quantitative research for equities, futures, fixed income, credit, and/or FX Strong analytical and quantitative skills Demonstrated ability to conduct independent research utilizing large data sets Programming in any of the following: C++, Java, C#, MATLAB, R, Python, or Perl Detail-oriented Willing to take ownership of his/her work, working both independently and within a small team We’re looking for exceptional colleagues with unparalleled passion. If you’d like your resume to stand out, tell us about your exceptional personal achievements, even if they have nothing to do with finance. Of course we love to hear more about specific engineering or data projects that yo

As a Customer Success Associate, you will focus on the long term strategic relationship with our customers, drive adoption, and identify growth opportunities across a high volume of Datadog customers to ensure successful product use and retention. You’ll be an advocate for the customer internally and focus on providing a positive experience for a high volume of accounts. Associates follow a well-defined methodology to identify the customer’s unique needs and clearly convey the value of the Datadog product. As we scale our Customer Success team, furthering personal development and team success is a top priority. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them What You’ll Do: Identify target opportunities, manage the full sales cycle and proactively build strategic relationships with customers and focus on retention. Manage requests from your book of business such as but not limited to technical support escalations, billing questions, documentation/enablement requests to ensure a positive customer experience Pivot account management strategy based on different customer requirements and needs seamlessly and efficiently Act as an advisor to customers to ensure they’re leveraging the solution effectively Monitor and identify usage trends to uncover renewal risks and support greater adoption rates Collaborate cross-functionally with internal Datadog teams (support, product, finance, and legal) Who You Are: Customer-minded, always trying to provide the most value possible Driven and motivated by a career in sales with a strong desire to grow a career in Customer Success. A strong communicator (written and verbal) with excellent attention to detail Experienced in independently negotiating contract terms and overcoming pricing objections for up-sell/cross

As a Senior NetSuite Project Manager at Plative, you will take ownership of client success across NetSuite ERP and custom engagements. This is a high-visibility, client-facing role for an accountable project leader who can bridge the gap between technical teams and business stakeholders to ensure seamless solution delivery. Operating within the Pacific Time Zone, you will lead high-profile implementations from kickoff through rollout, driving stakeholder alignment, risk management, and delivery excellence at every step. Responsibilities: Liaison with clients on an ongoing basis, to maintain and develop the business relationship, and keep projects to a set time frame Actively manage stakeholders; expectations, resource alignment, and possible conflicting priorities across projects Ensure adherence to Plative delivery structure and project management methodology during implementation of the solution Deliver strategic business and project reviews to educate clients on proposed solutions Communicate reports regarding budget ownership, project status, risk management and escalation of issues Coordinate IT project teams to ensure that client business requirements are effectively incorporated into design specifications, multi-platform integrations and data transfers Be a client advocate to resolve and manage escalations to ensure client satisfaction This position has minimal travel and occasional presence to clients’ sites Work on NetSuite related projects including new implementations, enhancements, integrations, support and ownership of SFDC build out Create and deliver presentations on technical concepts, project work plans, delivery approach, milestones, and results to client stakeholders Basic Qualifications Full, life-cycle implementation experience with NetSuite across multiple industry verticals 3+ years Project Management experience and within consulting environment At least 4 years of hands-on experience with NetSuite implementations Demonstrated expe

Role Mission Own, lead, and scale Discovery & Framing at Defense Unicorns—help customers identify and clearly define the mission problems that matter, quantify their impact, establish what success looks like, and create the clarity needed to determine the right path forward. The Head of Discovery & Framing will lead the highest-priority customer engagements, establish the D&F methodology and quality standard, and build the team required to deliver the discipline at scale. The Role Defense Unicorns is creating a dedicated Discovery & Framing function to improve how we understand customer problems before moving into solution design. This is a senior, hands-on strategy role for someone who knows how to walk into an ambiguous customer situation, ask the questions others miss, separate symptoms from root causes, and turn a complex discussion into a clear and measurable mission problem. Trust is built by knowing the customer's mission intimately—its language, operating tempo, constraints, failure modes, stakeholder pressures, and consequences of getting it wrong. The Head of D&F must be equally comfortable facilitating a working session with senior customer leaders, interviewing operators and technical stakeholders, analyzing what was learned, and producing a concise executive-quality output afterward. This is not a traditional sales role, product presentation role, or technical discovery role. Operating principle: Help the customer define and measure the right problem before asking them to choose a solution. What You Will Own Lead Discovery & Framing Engagements Prepare for and personally facilitate high-value D&F engagements with customer executives, mission leaders, operators, technical stakeholders, acquisition leaders, and other key participants. Lead the most strategic, complex, or ambiguous engagements while developing additional D&F practitioners to handle increasing volume. Build the Discovery & Framing Function Establish the D

ClinChoice is a global full-service CRO committed to professional growth and a quality-driven “one-team” culture. We are seeking a Senior Statistician to join our in-house team and support projects across a diverse client portfolio, including pharmaceutical, biotechnology, medical device, and consumer health companies of varying sizes. We are seeking a highly skilled Senior Statistician to to join our biometrics team. This is a full-time permanent opportunity with REMOTE. . Join our team: you can be part of making a difference in peoples' lives and experience a fulfilling and rewarding career! Job Responsibilities Responsible for protocol development including study design, sample size calculation, randomization, and statistical analysis plan for assigned studies. Provide statistical oversight to studies and assure adequate quality and consistency with project requirements. Responsible for assuring that data for statistical analyses are complete, accurate, and consistent. Responsible for statistical analysis plans and the accuracy and timeliness of statistical input into reports or decisions. Responsible for the validity of the analysis and exploring alternative analysis strategies as needed. Demonstrates extensive understanding of statistical concepts and methodologies. Recognizes and corrects flaws in scientific reasoning and statistical interpretation. Responsible for accuracy and consistency of statistical tables, figures, and data listings, accuracy of report text, and consistency between summary tables in the body of reports and the corresponding source tables and listings. Responsible for the statistical methods section of the reports. Identifies and corrects common flaws in the interpretation of results, inconsistency in presentation or inference, adherence to the report guidelines, and ensures project-wide consistency. Effectively mentor peers with regard to statistical methodology and provide appropriate training to less expe

We're looking for a Principal Engineer to join our CSP Engagements team as the technical focal point for end-to-end performance, working directly with engineering teams of key CSP/hyperscale customers to ensure they achieve various performance targets on NVIDIA platforms. In this role, you will augment NVIDIA's performance and benchmark teams with a dedicated CSP-facing focus. You will drive work streams with CSP engineering teams to build shared understanding of platform performance characteristics, gather and incorporate their workload-specific feedback into NVIDIA's optimization priorities, and validate that performance targets are met in customer-representative configurations. Your cross-CSP visibility enables you to identify patterns and drive systemic improvements in documentation, configuration guidance, and tooling. What you'll be doing: Drive performance characterization work streams with engineering teams of key CSP/hyperscale customers — ensuring they understand platform performance expectations, profiling methodology, and tuning options for their specific workloads Gather and synthesize CSP performance feedback — identify gaps between expected and actual throughput, and champion optimization priorities back into NVIDIA's CUDA, NCCL, driver, and firmware teams Ensure key open-source performance and stress tools (e.g., STREAM, GPU Burn, GPU BLAST) are updated and validated for the latest NVIDIA rack-scale systems, GPU architectures, and CPU platforms — so customers and internal teams have reliable baseline measurements from day one Work closely with CSPs to ensure their own performance and validation tooling reflects the latest GPU capabilities, memory hierarchy changes, and platform-specific tuning parameters Conduct cross-CSP performance comparison and pattern analysis — identify configuration, software, or workload differences that explai

As a NetSuite Project Manager at Plative, you will support NetSuite ERP engagements and ad hoc projects, connecting customers with the right expertise to get more value from NetSuite. This is a highly visible, customer-facing role. You will provide clear leadership and accountability on high-profile projects. Operating within the Pacific Time Zone, you will lead high-profile implementations from kickoff through rollout, driving stakeholder alignment, risk management, and delivery excellence at every step. Responsibilities: Serve as the main point of contact for customers, building the relationship and keeping projects on schedule. Manage stakeholder expectations, align resources, and resolve competing priorities across projects. Follow Plative's delivery structure and project management methodology throughout implementation. Run business and project reviews that walk customers through proposed solutions. Report on budget, project status, risk, and escalations to customer and internal stakeholders. Coordinate IT project teams so customer requirements translate cleanly into design specs, integrations, and data transfers. Advocate for the customer, resolving and managing escalations to keep satisfaction high. Travel occasionally to customer sites; most work happens remotely. Support NetSuite engagements across new implementations, enhancements, integrations, and ongoing support, including Salesforce build-out ownership when needed. Build and deliver presentations on technical concepts, work plans, delivery approach, milestones, and results for customer stakeholders. Basic Qualifications Full life-cycle NetSuite implementation experience across multiple industry verticals. 3+ years of project management experience in a consulting environment. 4+ years of hands-on NetSuite implementation experience. Strong skills in negotiation, vendor management, risk management, project financials, and KPI reporting. Preferred Qualifications Bachelor's degree in Accounting, Computer Sc

What We’re Looking For: We’re looking for ASIC design engineers to contribute to and own blocks in the development of the A-0 and A-1 wafer products, across both the XPU, memory chiplet and other dies on the wafer. Ideal Background: An ideal candidate will have: Hands-on experience with multiple advanced node tapeouts Ownership of ASIC design portion of at least one block in multiple advanced node tapeouts Understanding of PPA improvement and what levers exist for each level of the stack Ability to think creatively about methodology for fast design iterations Nice to Have: Hands-on experience with ASIC design process for large die (ideally reticle max) chips Hands-on experience with ASIC design process for AI chips Hands-on experience with multi-die/multi-chiplet/MCM designs

NVIDIA is looking for a Senior ASIC Verification Engineer to help verify our global IP! This position offers an opportunity to impact an array of products while collaborating with teams from design, architecture, verification, and integration. At NVIDIA, we have crafted a team of outstanding people stretching around the globe, whose mission is to push the frontiers of what is possible today and define the platform for the future of computing. In this position, you will partner with the design and architecture teams to help make the right implementation choices, craft and implement verification test plans, maintain regressions, close coverage and sign off design or both functional correctness and for meeting performance expectations. This position offers the opportunity to have a real impact on multiple product lines including consumer graphics, self-driving cars, HPC, cloud computing, and AI! What you'll be doing: Develop test plans, tests and verification infrastructure for verifying global IP across multiple products Define, develop, and automate flows and methodologies to efficiently build, deploy, and verify generated RTL Ensure code and functional coverage of all the RTL which you will verify Build verification components using SV/UVM methodology Driving coverage-based verification closure Collaborate with design teams across NVIDIA to find corner cases and resolve verification related issues What we need to see: BS/MS in Electrical or Computer Engineering (or equivalent experience) 5+ years of proven design verification experience Experience in pre-silicon verification (UVM, SystemVerilog), ASIC design/implementation flow, and design automation Programming and scripting experience in Perl or Python Excellent debugging and analy