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Quantitative Analytics Professional Jobs

288 active opportunities · Updated for October 2026

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Explore current quantitative analytics professional jobs. Use filters to narrow by work mode, employment type, experience and date posted.

What you’ll do Partner with medical image reconstruction scientists / engineers to build ML components that improve reconstruction quality, speed, robustness, or quantitative accuracy. Define training/evaluation pipelines, datasets, and metrics that map to user needs and design requirements. Productionize models: inference performance, reproducibility, monitoring for drift/regressions, and safe fallbacks. Collaborate on hybrid algorithms, incorporating physics and learned priors, denoisers, learned regularizers, and quality estimation. Help build tooling for rapid experimentation as well as rigorous verification of algorithm changes. What we’re looking for Strong applied ML experience plus comfort with signal processing / imaging or adjacent domains. Ability to move fluidly between research prototypes and production-quality systems. Strong evaluation discipline: metrics, ablations, data leakage avoidance, and reproducibility. A demonstrated track record of applying ML to physics-based or inverse problems (i.e., shipped projects, a portfolio, or publications.) Useful experience ML for imaging/inverse problems (or adjacent) with strong evaluation discipline and comfort with GPU performance constraints. Pragmatic production mindset: reproducible training/inference, regression testing, and safe deployment in high-stakes contexts. A background in computational physics or scientific computing. Leverage ML-based methods such as PiNNs and Neural Operators to solve partial differential equations arising in ultrasound simulation and imaging. Experience in Agentic-SciML is a plus. Hands-on experience with data curation for ML: building datasets from messy, real-world sources, defining ground truth, and managing labeling or simulation pipelines. Background in data assimilation: combining observations with physics-based models (Kalman filtering, variational methods, ensemble approaches, or learned variants).

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Pinterest
📍 United States• Full-time• Remote• From $163.6K/yr
1mo ago

About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here . Pinterest is looking for a Sr. Staff Quantitative Product Researcher to lead the development and evolution of user-centered measurement across our consumer experience. As the volume of measurement asks grows, we need a seasoned researcher who can partner with Data Science and Engineering as an equal — not just contributing to metrics work, but guiding it end-to-end and shaping the direction of how we measure the Pinner experience. In this role, you'll own the full arc of measurement work: identifying what we should be measuring, designing surveys that capture the constructs that matter, validating that our metrics are reliable and sensitive, guiding experimentation plans to prove they can move, and partnering with DS and Eng to build behavioral proxies or predictive models where they're needed. You'll also extend this work into how we evaluate a

REMOTEpythonsqlaws
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GR
15 days ago

Description: Graviton is a privately funded quantitative trading firm striving for excellence in financial markets research. We are seeking a Software Engineer for our team in Gurgaon. Our Core Technology team has some of the best programmers in India working on cutting edge technologies to build a super fast and robust trading infrastructure handling millions of dollars worth of trading transactions every day. Requirements Contribute to all layers of backend systems including databases, APIs and applications Design, build and maintain applications for business requirements Architect scalable and reliable applications Write clean and modular code, following good coding standards and practices Troubleshoot and debug applications Be involved in the entire application lifecycle Collaborate with multidisciplinary team of front-end developers, engineers and system administrators Devise innovative solutions to address new and complicated challenges Build reusable code and libraries for future use Take lead on projects, as needed Work in a high paced competitive environment Qualifications The ideal candidate will have: Engineering degree in Computer Science (preferred) or any other discipline from a Tier 1 college. 3 to 4 years of relevant experience in designing and improving information systems Proficiency in Python programming Extensive experience working with relational databases and handling large datasets Good Understanding of object oriented and asynchronous programming Familiarity with front-end languages such as HTML, JavaScript and CSS Knowledge of Linux systems and bash scripting Good communication and interpersonal skills Willingness to continuously learn and improve Ability to work in fast paced environment under pressure and manage multiple high priority projects Good to have: Experience in Financial services space/domain Experience in and understanding of system design decisions Experience in leading small teams or projects Benefits: Our open and casua

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Dropbox
📍 Us Select Locations• Full-time• Remote• From $211.1K/yr
1mo ago

Role Description As the Director of Marketing Strategy , you will serve as the chief operating partner and strategic advisor to the Chief Marketing Officer at Dropbox. In this dual-engine role, you will be responsible for both shaping our strategic growth initiatives (business case development, B2B/B2C partnership evaluation, new GTM strategies) and managing our operational infrastructure (annual planning, capital allocation, and budget governance). The ideal candidate has the structured, first-principles thinking of a management consultant and the operational discipline to build and run processes that turn strategies into reality. Responsibilities 1. Strategic Initiatives & Growth Partnerships Hypothesis-Driven Problem Solving: Frame and analyze highly ambiguous strategic questions (e.g., “Should we pursue a new ICP for a new product?” or “How do we optimize acquisition across dual B2B and B2C funnels?” ). Business Case Formulation: Build quantitative models (market sizing, NPV, LTV/CAC) to justify major marketing investments, new channel entries, or partnership models to the executive team. Partnership Structuring: Partner with Business Development teams to commercially evaluate and structure complex, high-value brand and ecosystem alliances. Special Projects: Lead agile, cross-functional "tiger teams" to rapidly prototype and pilot new commercial initiatives before transitioning them to long-term operational owners. 2. Marketing Operations, Planning & Budget Governance Strategic & Financial Planning: In partnership with marketing ops, l ead the annual and quarterly integrated planning cycle for the marketing organization, translating corporate growth targets into marketing plans and measurable OKRs. Capital Allocation & Budget Control: Work with RevOps to o versee the global marketing budget in close partnership with Finance. Manage the "top-down" allocation of capital across regions/channels and establish "bottom-up" accountab

REMOTEagileaigo
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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

pythonsqlai
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GR
15 days ago

University Recruiter About Graviton : Graviton Research Capital is a global quantitative trading and investment firm driven by technology, mathematics and rigorous problem-solving. We bring together exceptional talent across quantitative research, software engineering and technology to solve some of the most challenging problems in the industry. Our university talent ecosystem is one of the most important engines for building Graviton's future — and one of the most operationally demanding to run well. The Role : We are looking for a campus talent professional who can both think in systems and execute in detail — someone who can shape how Graviton identifies, engages, assesses and converts exceptional early-career talent, and who is equally comfortable owning the on-the-ground execution that makes a hiring cycle run without friction. Depending on experience, this role can be scoped as a hands-on execution owner running the campus hiring engine end-to-end, or as a strategic owner architecting the assessment frameworks, university strategy and program design that the engine runs on — in both cases, you will partner closely with Quant and Tech leaders and be accountable for the full lifecycle: university outreach, assessments, internships, PPO conversion and onboarding. What You Will Own Campus Talent Strategy & Ecosystem Building Build and maintain relationships with priority institutions (IITs, IIITs, BITS and relevant global universities), placement offices, faculty and student communities. Drive year-round engagement - events, technical talks and competitions — to strengthen Graviton's employer brand outside peak hiring windows. Assessment & Selection Coordinate (or design and standardize, at senior levels) rigorous selection frameworks in partnership with Tech and Quant teams — scheduling assessments, allocating panels, driving timely feedback, and building interviewer calibration mechanisms to keep evaluation objective and consistent. Internships & PPO

aigorust
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Notion
📍 San Francisco• Full-time
1mo ago

Who We Are Notion is the collaborative AI workspace where teams and agents think together . We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. This internship will take place from January 25 - April 16 and you will need to be able to work out of our SF office during this time. What You'll Achieve: Conduct data analyses to gain insights about Notion and use these insights to uncover opportunities for improvements in our product and business. Communicate these insights with actionable recommendations to cross-functional teams (insights are useful, impact is even better!). Work with cross-functional partners across the product and business to learn about their functions and use data to advance their respective areas. Create metrics and build dashboards to monitor the growth and health of Notion. Communicate insights and recommendations effectively to leadership and have an impact on strategic decision-making. Qualifications: Pursuing a bachelor's or master's in a quantitative field such as Economics, Statistics, Applied Math, Engineering, Computer Science, or Natural Sciences. Must graduate before December 2027. This internship will take place from January 25 - April 16 and you will need to be able to work out of our SF office during this time. Previous research or internship

pythonsqlrest
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Scale’s rapidly growing Global Public Sector team is focused on using AI to address critical challenges facing the public sector around the world. Our core work consists of: Creating custom AI applications that will impact millions of citizens Generating high-quality training data for custom LLMs Upskilling and advisory services to spread the impact of AI As a Full Stack Software Engineer (Forward Deployed), you’ll collaborate directly with public sector counterparts to quickly build full-stack, AI applications, to solve their most pressing challenges and achieve meaningful impact for citizens. At Scale, we’re not just building AI solutions—we’re enabling the public sector to transform their operations and better serve citizens through cutting-edge technology. If you’re ready to shape the future of AI in the public sector and be a founding member of our team, we’d love to hear from you. You will: Partner with public sector clients to scope, collect feedback and implement solutions for complex problems, including spending up to two weeks per month in client offices for feedback and delivery. Architect production-grade applications that integrate AI models with full-stack frameworks, managing everything from interactive UIs to backend APIs and systems. Deploy and manage infrastructure within cloud environments, ensuring the highest levels of system integrity, security, scalability, and long-term reliability. Contribute to core platform features designed to be reused across diverse international client use cases. Partner with design, product, and data teams to build robust applications aligned with the broader technical architecture. Ideally you’d have: Bachelor’s degree in Computer Science or a related quantitative field 5+ years of post-graduation, full-stack engineering experience with demonstrated proficiency in React (required), TypeScript, Next.js, Python, Node.js, PostgreSQL or MongoDB plus hands-on experience with Docker, Kubernetes, and Azure

typescriptpythonreact
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Sofi
📍 Add All Locations Here• Full-time• $165.6K – $182.2K/yr
1mo ago

Employee Applicant Privacy Notice Who we are: Shape a brighter financial future with us. Together with our members, we’re changing the way people think about and interact with personal finance. We’re a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we’re at the forefront. We’re proud to come to work every day knowing that what we do has a direct impact on people’s lives, with our core values guiding us every step of the way. Join us to invest in yourself, your career, and the financial world. Social Finance, LLC seeks Software Engineer, Account Linking in San Francisco, CA: Job Duties: Own and ideate on technical solutions for product requirements and user stories with minimal supervision. Participating heavily in code and design reviews. Delivering resilient and scalable code. Communicate engineering concepts and efforts with outside stakeholders in product marketing, operations, business, legal, and compliance. Work in a fast-moving, highly collaborative environment across multiple offices. Use different object-oriented programming languages to build performant and scalable applications in a cloud-based microservice architecture. Participate in shaping the technical architecture of the product. Generate ideas for new initiatives and technologies. Part-time telecommuting is an option. Hybrid work from Social Finance offices in San Francisco, CA. Requirements: Master’s degree in Computer Science, Engineering (any field) or related quantitative discipline and (2) two years of experience in the job offered or in a related occupation. Special Skill Requirements: (1.) Modern object oriented programming language (2 yrs); (2.) REST APIs; (3.) Relational Databases; (4.) SQL and NoSQL Database; (5.) Microservices; (6.) Java or Kotlin (1 yr); (7.) Spring Boot; (8) Docker; (9) Kafka and (10.) React. Any s

javareactsql
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Sofi
📍 Add All Locations Here• Full-time• $289.2K – $318.1K/yr
1mo ago

Employee Applicant Privacy Notice Who we are: Shape a brighter financial future with us. Together with our members, we’re changing the way people think about and interact with personal finance. We’re a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we’re at the forefront. We’re proud to come to work every day knowing that what we do has a direct impact on people’s lives, with our core values guiding us every step of the way. Join us to invest in yourself, your career, and the financial world. Social Finance, LLC seeks Senior Software Engineering Manager in San Francisco, CA: Job Duties: Lead one or multiple development teams through the full development life cycle. Challenge the status quo, embrace and foster innovation. Disrupt the industry by building the banking platform of the future. Grow the team, understand what your team needs, define how to find and assess candidates. Define the growth plan for individuals on your team. Hold the team accountable for delivery. Shape and support the team culture with an emphasis on continual improvement, learning, and fun. Generate ideas for new initiatives. Take initiative and produce timely results in a fast paced and sometimes ambiguous environment. Facilitate the definition of project scope, deliverables, and goals. Part-time telecommuting is an option. Hybrid work from SoFi offices in San Francisco, CA. Requirements: Master’s degree in Computer Science, Engineering (any field) or related quantitative discipline and (5) years of experience in the job offered or in any occupation in related field. Special Skill Requirements: 1.) Engineering management 2.) Agile SDLC methodologies 3.) Object-oriented programming and data structures 4.) Mobile application development using Android (Kotlin/Java) and iOS (Swift) 5.) Design and development of reusable

javascriptjavaci/cd
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8 days ago

We're transforming the grocery industry At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers. Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table. Instacart is a Flex First team There’s no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events. Learn more about our flexible approach to where we work. Overview The Advertiser Optimization team is the decision-making engine of Instacart's $1B+ ads business. We own the systems responsible for Bidding, Pacing, Budgeting, Targeting and advertiser-facing recommendations - converting stated advertiser goals into real-time auction actions. Our mission is to maximize realized Advertiser Value by deciding when to participate, how much to bid, and how fast to spend, all while carefully balancing User Experience and Platform Revenue. We are looking for a Software Engineer II with a strong quantitative background to join our Toronto-based team. In this role, you will apply your expertise in mathematics, statistics, economics, or a related field to help build and refine the algorithmic systems that power how Instacart's advertising marketplace operates. You'll work alongside a talented team of scientists and engineers, contri

REMOTEpythonsqlmachine learning
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CC
CCL Confidential
📍 Vancouver• Full-time• C$125K – C$200K/yr
15 days ago

We deliver foundational systems that shape the future of how technology is used in a top performing quantitative equity fund that manages over $78+ billion USD in financial assets. This is a fantastic opportunity in the exciting intersection of finance and technology where investment decisions are made using technology. Quantitative equity funds use programmed investment strategies and as a result, our technology team is crucial to its success. The team is headquartered and deeply rooted in West Coast Vancouver. We place high value on maintaining an entrepreneurial spirit and creating a culture where each of us has opportunities to succeed. What You Will Do The technology infrastructure team plays an essential role through innovative technologies on our hybrid (on-premise and cloud based) platform: distributed computing, petabyte-scale data storage, containerization, non-traditional high-performance databases, process orchestration, monitoring, data visualization and DevOps. You own the entire technology infrastructure life cycle: Engineer and support software and systems infrastructure. Introduce new foundational technologies that advance our software engineering capabilities to the next level. Collaborate with our software development teams on support issues and improvements to our infrastructure tools, processes, and software. Act as a conduit between our application development teams, and IT, network security, and other stakeholders to align priorities and translate business requirements into technical designs. Improve systems infrastructure reliability. Gather and analyze metrics from operating systems and applications to assist in performance tuning, fault finding and business continuity planning. Design, plan and implement solutions in an entrepreneurial spirit. What You Bring Programming Knowledge – you have an undergraduate, graduate, or post-graduate degree in a computer-related field OR exceptional programming skills gain

typescriptpythonjava
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