Quant Analyst – Pricing

Quant Capital
London
2 months ago
Applications closed

Related Jobs

View all jobs

Quant Developer (Java)

Quantitative Analyst (Football)

FX Quant Trader (VP or Director) (Basé à London)

eFX Quantitative Developer, Vice President

Senior Machine Learning Researcher - Sports Betting/Trading

▷ Urgent Search! Associate Director - £40,000 – 50,000 +Benefits

Quant Analyst – Pricing 110k 24% In Contract BonusQuant Capital is urgently looking for a Quant Analyst to join our high profile client.Our client is a well-known major global exchange.You will be part a team building cutting-edge applications and services supporting cross-asset trading and risk management. The successful candidate will have a passion for software development and the desire to constantly improve both their skills and the solutions they work on.The role will be working on different financial derivatives across various assets classes from equities, commodities, fixed income to credit default swaps (CDS). The successful candidate will engage with various groups in the organization from product control to front line risk teams and sales teams.Research, develop and Implement risk management models for the Clearing BusinessWork with risk managers to provide quantitative supports and analytical tools to investigate and understand markets risks, liquidity risks, counterpart credit risks, etcModel review, documentation and validation remediation to ensure compliance with the Model Risk Governance FrameworkReview and interpret results of on-going model performance tests (e.g. back testing)Develop and implement new quantitative models and pricing functionsWork and coordinate with model validators in model validation/re-validation review processPrepare analyses for regulatory submissions of model changes and introduction of new modelsQuant Analysts must have: · Experience in a comparable quantitative modelling or analytics roleMSc in Physics, Mathematics, Quantitative Finance, Statistics, or a relevant scientific field or relevant work experienceStrong mathematical knowledge of financial derivatives pricing and risk management modelsGood data science experienceC++/C#/Java or Python programing skillsExperience with SQLSolid numerical programming abilitiesExcellent attention to detail with ability to work independently and also as part of a teamThis role suits someone from a software development background that is looking to take on serious responsibility. We are looking for consultants who want to take ownership of products and take considerable responsibility and the bonus that goes with that.My client is based in Central LondonC#, C++ SQL, Support, Implementation

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Navigating AI Career Fairs Like a Pro: Preparing Your Pitch, Questions to Ask, and Follow-Up Strategies to Stand Out

The field of Artificial Intelligence (AI) is growing at an astonishing pace, offering a wealth of opportunities for talented professionals. From machine learning engineers and data scientists to natural language processing (NLP) specialists and computer vision experts, the demand for skilled AI practitioners continues to surge in the UK and globally. AI career fairs present a unique opportunity to connect face-to-face with potential employers, discover cutting-edge innovations, and learn more about the rapidly evolving landscape of data-driven technologies. Yet, attending these events can feel overwhelming: dozens of companies, queues of applicants, and only minutes to make a great first impression. In this detailed guide, we’ll walk you through strategies to prepare for AI career fairs, provide you with key questions to ask, highlight examples of relevant UK events, and reveal the critical follow-up tactics that will help you stand out from the crowd. By the end, you’ll be armed with the knowledge and confidence to land your dream role in the ever-growing world of Artificial Intelligence.

Common Pitfalls AI Job Seekers Face and How to Avoid Them

The global demand for Artificial Intelligence (AI) specialists continues to rise, with organisations across industries keen to implement machine learning, deep learning, and data-driven insights into their operations. Yet, as the market for AI professionals flourishes, so does the level of competition among candidates. Talented individuals who may otherwise be qualified often stumble on common pitfalls that can hinder their success in securing an AI-related role. These pitfalls can lie in their CV, interview approach, job search strategy, or even their understanding of what AI employers are looking for. This article aims to help job seekers in the UK’s AI sector—whether you’re fresh out of university, transitioning into AI from another field, or looking for a senior-level position—avoid the most common mistakes. We’ll discuss how to stand out in a crowded AI job market by improving your CV, acing interviews, and conducting an effective job search. Read on to discover the typical missteps AI professionals make when seeking employment and learn the strategies to avoid them.

Career Paths in Artificial Intelligence: From Research to Management – How to Progress from Technical Roles to Leadership and Beyond

Artificial Intelligence (AI) stands at the forefront of technological innovation, shaping everything from healthcare diagnostics to autonomous vehicles and natural language processing. With the UK widely recognised as a growing hub for AI research and development, there has never been a better time to explore a career in artificial intelligence—or to advance your current trajectory within the field. A key question that often arises is: How can professionals move from hands-on technical roles in AI to leadership and management positions? This comprehensive guide will walk you through the evolving career landscape in AI, from entry-level posts to executive roles. We will examine in-demand skills, recommended pathways for professional development, and strategies to help you seamlessly ascend from technical responsibilities to strategic leadership. Whether you’re a recent graduate, a self-taught data whizz, or an experienced machine learning engineer aspiring to lead teams, this article will provide you with practical insights tailored to the UK’s vibrant AI sector.