Quant Blueprint LLC

Quant Blueprint LLC is offering an internship program in Greater London aimed at students pursuing degrees in fields like Statistics or Computer Science. Interns will collaborate with senior team members, work on a project that adds value to the business, and gain insights into financial markets. Applicants should have skills in Python and Java, strong communication abilities, and an interest in creative problem-solving. An inclusive environment is a priority for Quant Blueprint LLC.

Quant Blueprint LLC is seeking a Quant Model Risk Vice President to join their Interest Rates team in Greater London. This role involves assessing model risks and overseeing junior team members while collaborating with various business areas. The ideal candidate will have a strong quantitative background with experience in model risk management, proficiency in probability theory, and coding skills in languages such as C/C++ or Python. You will be expected to communicate effectively and manage complex model reviews.

Quant Blueprint LLC seeks a Sector Data Analyst in Greater London to enhance investment strategies through data analysis. The role involves learning the investor approach, assisting teams in understanding key data drivers, and presenting research findings effectively. Ideal candidates are pursuing a relevant bachelor's degree, possess strong communication skills and a keen interest in finance, along with proficiency in Python, SQL, and Excel.

PROGRAM DETAILS At Capstone, we seek to harness the complexities of global derivatives markets with disciplined strategic insight, an experienced, accomplished team and advanced technology to create sustainable value. We've created a particular approach to investment that we believe drives continuous improvement and opportunities for our clients, team and industry. As an intern, you can be part of the disciplined collaboration in a 10-week program designed to give you exposure to senior team members and our CEO Paul Britton. You will be given a project that is both educational and has a value add to the business. At the end of the summer, you will present your project to the senior leadership team. Throughout the program you will also attend educational sessions and team building events. DEPARTMENT The Risk Technology Team is responsible for working alongside the Risk team in delivering world-class solutions for analytics, scenarios, reporting, and calculations within Risk at Capstone. DESIRABLE CANDIDATES Pursuing an undergraduate or master's degree in Statistics, Mathematics, Computer Science, or any related discipline Interest in financial markets Experience in writing Python and Java Some experience with a database or datastore, either relational, object based, or columnar Strong communication skills both written and verbal Ability to find creative solutions to problems Familiarity with machine learning would be advantageous Capstone is committed to creating an inclusive environment where we welcome people of different backgrounds. Capstone considers applications for employment without regard to all applicable protected characteristics, including race, color, religion, ethnicity, national origin, gender, sexual orientation, gender identity or expression, age, parental status, veteran status, or disability status.

Overview We are looking for a new member to join our Interest Rates team in the Model Risk Governance and Review Group which is responsible for end-to-end model risk management across the firm. As a Quant Model Risk Vice President in the Model Risk Governance team, you will assess and help mitigate the model risk of complex models used in the context of valuation, risk measurement, the calculation of capital, and more broadly for decision-making purposes. Additionally, you will have exposure to a variety of business and functional areas and will work closely with model developers and users. You will also have managerial responsibility to oversee, train and mentor junior members of the team. Job responsibilities Carry out model reviews: analyze conceptual soundness of complex pricing models, engines, and reserve methodologies; assess model behavior and suitability of pricing models/engines to particular products/structures; provide guidance on model usage and act as first point of contact for the business on all new models and changes to existing models; develop and implement alternative model benchmarks and compare the outcome of various models; design model performance metrics Liaise with model developers, Risk and Valuation Control Groups and provide guidance on model risk Evaluate model performance on a regular basis Manage and develop junior members of the team Required qualifications, capabilities, and skills Significant experience in a front-office or model risk quantitative role Excellence in probability theory, stochastic processes, statistics, partial differential equations, and numerical analysis MSc, PhD or equivalent in a quantitative discipline Inquisitive nature, ability to ask right questions and escalate issues Excellent communication skills (written and verbal) Good understanding of option pricing theory (i.e. quantitative models for pricing and hedging derivatives) Good coding skills, for example in C/C++ or Python Preferred qualifications, capabilities, and skills Experience with interest rates derivatives

Software Engineering Internship (Architecture & Innovation) Do you want to tackle the biggest questions in finance with near infinite compute power at your fingertips? G Research is a leading quantitative research and technology firm, with offices in London and Dallas. We are proud to employ some of the best people in their field and to nurture their talent in a dynamic, flexible and highly stimulating culture where world beating ideas are cultivated and rewarded. The role 31st March 2025 or 30th June 2025 to 19th September 2025 09:00 - 17:30 working hours Based in Central London We are currently seeking the brightest students to join our 12 or 24 week summer internships between their penultimate and final year of study, finishing in September. The Architecture & Innovation function is responsible for the future technology direction of the business. It comprises of three teams: The Architecture Practice team works with a range of business and technical stakeholders to agree the technical roadmap and ensure requirements are articulated clearly The Technology Innovation Group is a fast paced, interdisciplinary team supporting our Researchers and Engineers in taking advantage of next generation hardware and software across the full stack G Research Open Source Software works with the open source community to get involved in future roadmaps, influence engineering directions and make contributions to open source machine learning frameworks and libraries We are transforming our platforms from a suite of mostly in house enterprise solutions to cloud style distributed systems that leverage the best of open source and third party offerings. As we evolve our technology we are also evolving the way we work. Innovation happens at the blurry edge of disciplines, so we work cross functionally to generate new ideas and business opportunities. Responsibilities Successful candidates will work on projects such as: Building proof of concept implementations that validate new products and services or demonstrate new approaches and methods Creating working examples of machine learning models to run on alternative hardware accelerators Adapting existing models to evaluate different hardware accelerator architectures, for example to improve model training speed Helping to identify gaps in new vendor technologies and tool chains Creating and using benchmarking frameworks to quickly and effectively performance and stress test new technologies against the different kinds of workload we have Helping to integrate new hardware accelerators into existing G Research tool chains and CI/CD pipelines Creating papers and talks on how new ML accelerator hardware can be used within G Research Analysing current and future needs from the Research and Trading stack and finding ways to unlock additional value Identifying use cases and matching them to different hardware accelerators Induction and training Successful candidates will gain an in depth introduction to the world of technology within finance, as well as extensive introductions to the internal workings of the business. You will be paired with an experienced Engineer who will mentor you through your time with us. All interns will have access to numerous training courses, including online learning licences to hone your technical skills and soft skill training. Who are we looking for? We are looking for competent and practical software engineers with experience of object oriented programming languages, such as C#, Java or C++, alongside excellent academics (studying for a 2:1 or above in Computer Science or Computer Science with Mathematics). You will be enthusiastic and have a genuine interest in both software technology and the underlying hardware, as well as an appreciation of good software architecture, core programming techniques and data structures. Desired qualifications An interest in quantitative finance and an understanding of the role engineering plays within the space The ability to prioritise, plan and deliver to support the wider team and ensure work remains on track The ability to identify opportunities for improvement and a proactive approach to learning to stay ahead of the technology curve and identify how we can adopt new technologies in the ways we work Balanced judgement, with the ability to evaluate different approaches and identify appropriate solutions Adaptable communication style and approach, tailored to your audience, in order to convey compelling messages The ability to understand the needs and challenges of others and present mutually beneficial solutions A collaborative approach and a desire to build effective relationships across the business Why should you apply? Highly competitive compensation Informal dress code and excellent work/life balance 30 days' holiday pro rata 9% company pension contributions Opt in private health insurance Monthly company events Central London office close to five stations and six tube lines Interview process Successful applicants at the CV review stage will be invited to sit a technical test. If you pass, you will then be invited to take part in a series of interviews. Please note, due to our desire to convert the top of our intern cohort into our graduate programme we are only able to consider applications from those graduating in 2026. We will respond to applications from September 2024 and begin interviewing in October. Equal opportunity statement G Research is committed to cultivating and preserving an inclusive work environment. We are an ideas driven business and we place great value on diversity of experience and opinions. We want to ensure that applicants receive a recruitment experience that enables them to perform at their best. If you have a disability or special need that requires accommodation please let us know in the relevant section.

Quant Blueprint LLC is seeking talented engineers in the United Kingdom to create innovative trading technologies and high-performance research platforms. The role focuses on collaborative work in small teams, fostering an environment of creativity and technical excellence. Ideal candidates will possess a degree in Computer Science or related fields, have strong programming and analytical skills, and demonstrate a passion for problem-solving.

Quant Blueprint LLC is offering an exciting Software Engineering Internship based in Central London. The role involves working on innovative projects in quantitative finance, focusing on machine learning models and alternative hardware accelerators. Interns will receive mentoring from experienced engineers, access to extensive training, and a chance to make valuable contributions to their team. Join us for a summer of learning and growth!

DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk. Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets. We operate with respect, curiosity and open minds. The people who thrive here share our belief that it's not just what we do that matters-it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus. The UP - Analytics - Middle Office team is looking for an outstanding Software Engineer with diverse technical and interpersonal skills to join us in the next step of our development as we significantly expand our technical capabilities, enabling us to have an even greater impact across the firm. This team builds and maintains services which: calculate analytic measures across many asset classes predict theoretical market outcomes based on user-defined what-if scenarios return analytics for any time horizon We collaborate closely with risk managers and trading desks to measure option and rate sensitivities and create applications to monitor, manage, and report analytic measures. While previous experience in the trading and finance industry is beneficial, we're looking for talented software engineers with or without industry-specific expertise. Responsibilities Designing, developing and maintaining greenfield and legacy API, service, and application platforms Testing at the unit, functional, and integration level Code in multiple languages, paradigms, and platforms Collaborating with various business, development, IT, and trading support teams Provide on-call support as part of our team-wide rotation Keep open communication with our users for support, testing, and ensuring understanding of their needs Qualifications Experience using applied mathematics (linear algebra, optimization, numerical methods) Strong understanding of statistics and probabilities Fluent in functional, object-oriented, and imperative programming languages Competent in distributed version control, CI/CD, Docker, and Kubernetes Familiarity with Elixir, or more than one of the following: Elm, Erlang, Haskell, Scala, Kotlin, Clojure, F# Python, or more than one of the following languages: JavaScript, TypeScript, Ruby, Python, Java, C# Data structures and design/analysis of algorithms Exchange-traded financial assets, statistics, or financial engineering Personal traits Possesses the ability to learn, adapt and grow Demonstrates personal humility, respect for others, and trust in their teammates Capable of independently driving projects to completion but prefers collaborating with teammates Excellent problem-solving and debugging skills, but has better listening and communication skills For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at California residents, please review the California Privacy Notice for information about certain legal rights at

DRW, headquartered in Chicago, is seeking an outstanding Software Engineer to join the UP - Analytics - Middle Office team. This role focuses on designing and maintaining API and service platforms across various asset classes, enhancing our technical capabilities. The ideal candidate will have expertise in applied mathematics and programming languages, with a commitment to collaboration and problem-solving. Opportunity to work in a dynamic environment with high industry expectations.

Commodities Quantitative Researcher, Systematic Global Macro A small, collaborative, and entrepreneurial systematic investment team is seeking a strong commodities quantitative researcher to join in developing new signals and strategies. This opportunity provides a dynamic and fast paced environment with excellent opportunities for career growth. Location: Flexible, with slight preference for Switzerland Principal Responsibilities Identify and onboard new global markets and datasets Analyze and manipulate large and diverse data sets for idea generation and alpha research with a focus on the commodities space Research and develop signals, leveraging a variety of market and fundamental datasets, to be deployed in systematic trading strategies Collaborate with the Senior Portfolio Manager and team in a transparent environment, engaging with the whole investment process from idea generation through execution with a focus on the Global Commodities space Preferred Technical Skills Strongly skilled in Python Experience programming in C is a plus Bachelor, Master, or PhD degree in Computer Science, Engineering, Applied Mathematics, Statistics or related STEM field Excellent communication, analytical, and problem solving skills Preferred Experience 2-4 years of experience working in a quantitative research capacity with a focus on Ags, Energy, Metals, Fixed Income, FX, or Equity Index strategies Experience working with large and diverse data sets, specifically data sets associated with the commodity markets Commodities market experience modeling futures curves and/or cross-market relationships Highly Valued Relevant Experience Experience in quantitative, econometrics, asset pricing, or macro sub fields Experience with machine learning, statistical techniques and related libraries Millennium pays a total compensation package which includes a base salary, discretionary performance bonus, and a comprehensive benefits package. The estimated base salary range for this position is $100,000 to $200,000, which is specific to New York and may change in the future. When finalizing an offer, we take into consideration an individual's experience level and the qualifications they bring to the role to formulate a competitive total compensation package.

Quant Blueprint LLC in the United Kingdom is looking for a talented individual to manage quantitative trading strategies and improve performance. You will work closely with experienced developers and quant researchers, generating and challenging hypotheses for low-latency trading strategies. The ideal candidate holds a BSc or higher in a relevant field and possesses 3+ years of experience in algorithmic trading. Your success will directly impact the company's profitability.