disperse development teams Strong knowledge of Asset Management data Nice to have skills Experience of micro-service development and API development Degree educated in mathematics or scientific/engineering discipline. CFA or similar industry qualification Supervisory responsibilities Yes Potential for growth Mentoring Leadership development programs Regular training Career development services more »
London, England, United Kingdom Hybrid / WFH Options
Aventum Group
determine root cause. Any additional duties as assigned. Role Requirements Bachelor’s degree or equivalent in an engineering/numerate subject (e.g. Engineering, Stats, Maths, Computer Sciences) Experience in full-stack development and applying it to build science products (E.g. could include some or all Python/R, Linux scripting more »
and review reports What do you need to succeed? • Strong academic background: educated to at least Masters degree level in a quantitative subject, preferably Maths, Physics, Engineering or Finance. Relevant professional qualifications/experience will also be considered. • Experience in Model Validation and Model life-cycle management. • Experience/knowledge more »
industry. Strong academic background with a 2:1 degree (or equivalent) or higher in a relevant technical field such as computer science, software engineering, mathematics, or physics. Strong mathematical, analytical, and problem-solving skills. Good communication skills for effective collaboration with software engineers, artists, animators, QA, and production staff. Self more »
analytics and decision-making Develop interactive and user-friendly data visualisation tools What we'd love to see: A degree in Computer Science, Statistics, Mathematics or related discipline Proficiency in R Shiny SQL for data manipulation and analysis What's in it for you: Salary of up to more »
activity from various types of sources and create database models for these to be easily accessible. Qualifications: Advanced degree (Ph.D. or Master's) in Mathematics, Statistics, Computer Science, Physics, or related quantitative field. Strong background in quantitative research. Experience with Risk. Proficiency in programming languages such as Python. Experience working more »
candidates with a strong track record will be given an allocation of risk to manage. Requirements: Advanced degree in a quantitative discipline such as Mathematics, Statistics, Computer Science, Financial Engineering. Prior experience in systematic trading, algorithmic trading, or quantitative research within a hedge fund or proprietary trading firm. Strong programming more »
be self-driven working independently. REQUIREMENTS: Must have experience in Computer Vision, and 3D reconstruction. MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics, or related fields. Experienced working in a fast-paced start-up environment. Strong programming skills in languages such as Python and C++ BENEFITS: Hybrid more »
managers and risk managers. Experience: Essential: 3+ years’ experience within the financial sector Master’s degree or above in a quantitative subject (e.g., Physics, Mathematics, Engineering, Computer Science) A passion for financial markets and a willingness to engage in and learn interest rate modelling. Strong Python hands-on programming skills more »
Basic Qualifications: A strong academic background with a minimum of an Honours degree, Masters or PhD (or equivalent) in a quantitative subject such as Mathematics, Physics, Operational Research, Economics, or Finance. Demonstrated proficiency in coding languages such as R, SQL, C++, Python, or equivalent, with experience in handling large datasets more »
this is the right place for you. What you would ideally have 🖥️: Degree from top UK universities in a relevant field (e.g. Computer Science, Maths, Physics, Engineering) 3+ years of professional experience Strong Python programming and AWS experience Experience in the full process from deploying models to production to monitoring more »
updated on industry trends and advances in data science Requirements: Essential: 1-2 years of experience in a data-focused industrial environment Degree in Mathematics, Statistics, or a related field, with a strong academic track record Exceptional problem-solving and analytical abilities Proficiency in Python, particularly with the pandas library more »
date on the latest developments and techniques that could be applied to your work. The role will be fairly analytical, so a background in Mathematics/Statistics/Economics is highly beneficial to add a deeper level of understanding to models you build. Joining a start up can require you more »
of professional experience in data science and machine learning, or hold a PhD or Masters degree in a related field such as Computer Science, Maths, Physics, or Engineering Experienced in MLOps, experienced delivering features end-to-end, from architecture design and building through to releasing, testing, and supporting Confident in more »
new ways of utilizing data/providing solutions that make impact Qualifications (Hard Skills): • MSc or PhD level Computer Science, Machine Learning, Applied Statistics, Mathematics (Russell Group) • 4+ years of hands-on experience in applying data science as a Data Scientist, Quant Researcher, or Quant Developer • Python (3), high level more »
Analytical skills Logical Team working Creative Initiative Non judgemental Patience • Strong analytical skills wit Qualifications Computer Science A Level or equivalent, grade B (Essential) Maths A Level or equivalent, grade A (Essential) About the Employer MI-GSO PCUBED At MI-GSO PCUBED, our mission is to deliver our clients’ most more »
services or prop trading Proficient programming skills in C++ or a similar object-oriented language is essential Masters degree or a PhD in applied mathematics, stats/financial engineering, computer science, physics Adept at solving complex problems Detail oriented Self-starter who can take ownership of projects from beginning to more »
conducting quality checks and collaborating with relevant teams. Skills and Qualifications: Education: At least a 2.1 Bachelor's degree in law, data science, statistics, mathematics or a related field. Experience: 1 to 2 years of proven experience as a data analyst or in a similar role, preferably within a legal more »
conflict management and time management skills. Proficiency in industry-standard process methodologies (e.g., Agile) is required. University degree with an emphasis on Computer Science, Mathematics/Statistics, or equivalent demonstrable experience Great communication skills and an ability to build strong relationships across all organisational levels Flexible team player who understands more »
Experience with Atlassian products, including Jira and Confluence. Background in FX/financial services/fintech industry. Degree educated with a relevant numerical degree (Mathematics, Economics, Finance, Computer Science). Benefits This is what we can offer you! Competitive salary and benefits package Generous company-wide profit share scheme, where more »
as contracts, regulatory regimes and national transport statistics. Qualifications Essential: Analytical skills built on: Technical foundations, as might be gained through a degree in mathematics, science, engineering or a related discipline or through the equivalent experience Experience of applying analysis/data science skills to real-world problems An inquisitive more »
have achieved or be on track to pass an undergraduate degree or above in a STEM related degree (Science/Technology/Engineering/Maths) and demonstrate a passion for a career in technology and how organisations use it. We determine whether you're on course to pass based on more »
and deliver complex systems at scale Knowledge of Angular, C# (preferential) Mathematical finance or data science experience useful but not required. Degree educated in mathematics or scientific/engineering discipline. more »
frameworks and Data Science Principles. Technical background with an undergraduate or advanced degree (Masters, MBA, PhD etc) in a technical field (sciences, computer science, mathematics, engineering, data science). Benefits Working at MA Methods Analytics (MA) exists to improve society by helping people make better decisions with data. Combining passionate more »
actions, work autonomously without direct supervision, collaborate with and report directly to managers. Person Specification Education & professional Qualifications Essential 5 GCSEs or equivalent including Mathematics and English Masters degree or equivalent experience Skills and aptitudes Essential Ability to interpret national guidance and align with the organisation's practice and objectives more »
