web-based development and visualisation technology for portraying large and complex data sets and relationshipsSubstantial quant development engineering experience with relevant mathematical knowledge e.g. statistics, asset pricing theory, optimisation algorithms.Personal AttributesStrong academic record and a degree with high mathematical and computing content e.g. Computer Science, Mathematics, Engineering or Physics from more »
colleagues challenging and rewriting the rules, not just following them. What we expect from you 5 to 7 years of experience required. Degree in Statistics, Maths, Physics, Economics or similar field Programming skills (Python and SQL are a must have) Analytical Techniques and Technology Experience with and passion for connecting more »
and marketing teams (using internal systems, SFDC, Tableau, Excel) Requirements Bachelor's degree in an analytical field (e.g. Computer Science, Engineering, Mathematics, Finance or Statistics) 4 years experience in data analytics within a sales operations or finance team, or in management consulting with significant experience in sales analytics Experience analysing more »
CX and sales director Key Skills Past experience as data/business analyst Power BI SQL, excel and data visualisation Degree level education in statistics, mathematics, CX or computer science is preferrable Similar experience The Ideal CX insights Manager: A genuinely curious person that loves data Strong analytical and communication more »
area of advanced machine learning (e.g. LLMs, reinforcement learning, diffusion models, etc.) SQL and experience with databases (SQL Server, Postgres etc) Good understanding of statistics and probability Willingness to learn new techniques Excellent communication skills An eye for detail A love of puzzle solving #J-18808-Ljbffr more »
insights to stakeholders (Product/Growth) with regards to the factors that impact business outcomes. What you ll bring to HeliosX Advanced degree in Statistics, Computer Science, or a related field, with a strong foundation in statistical modelling and machine learning. At least 5 years of professional experience in a more »
to fostering the growth of your teammates by sharing your knowledge and mentoring. While candidates typically hold an advanced University degree in Maths, Physics, Statistics, Computer Science, Engineering, or other quantitative disciplines, we are open to being convinced otherwise. These skills are nice to have, but they are not a more »
data using Python/R Comfortable taking ownership of projects and responsibilities with minimum supervision At least a bachelors degree in Computer Science, Mathematics, Statistics, Data Science or other quantitative discipline Good to Have C++/Java development experience Experience in using quantitative methods for strategy parameter optimization Prior experience more »
AI, and related fields to keep the company at the forefront of technological advancements Requirements: BSc or MSc in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Strong coding skills in Python and SQL Good knowledge of ML/AI state-of-the-art, principles, practical applications and limitations more »
data modelling, database design development, data mining and segmentation techniques Strong knowledge of reporting packages (PowerBI, Business Objects etc) and databases (SQL) Knowledge of statistics and experience using statistical packages for analysing datasets (Excel, SPSS, SAS etc) Strong analytical skills with the ability to collect, organise, analyse and disseminate significant more »
to understanding the data and analytics across the differing asset classes Ideal candidates will have: Bachelors or Master s degree in Computer Science, Mathematics, Statistics or related field 2- 5 years of experience in software development within a hedge fund, investment bank or other financial institution Strong programming skills in more »
a collaborative and informed decision-making environment.Required Qualification/Skills1. Educational Background:* Master's in a quantitative discipline such as Computer Science, Finance, Economics, Statistics, or a related field (preferred).2. Professional Experience:* Minimum of 3-5 years of experience in quantitative analysis, financial modelling, and software development.* Demonstrated experience more »
models Ability to manage and coach a team of data scientists Engagement with and management of technical and senior stakeholders Strong knowledge of Mathematical Statistics, Algorithms & Data Structures, ML Theory Strong knowledge of Python & SQL Azure/GCP for cloud backend Skills that will be beneficial but is not a more »
learning, energy management, and demand response technologies to enhance the product's capabilities and educate stakeholders. Required experience: Master's or PhD in Math, Statistics, or relevant field with a strong focus on machine learning, statistical analysis, and data manipulation. Proven experience in developing, maintaining, and deploying predictive and forecasting more »
markets Experience or strong interest in crypto markets Advanced degree (PhD or MSc) from a top-tier university in a quantitative field, such as Statistics, Operations Research, Computer Science, Mathematics, or Physics Strong experience developing statistical models in a trading environment Deep understanding of optimization theory Excellent programming skills in more »
tools will be considered an asset Familiarity with version control concepts Understanding of object-oriented programming principles PhD, Masters or Bachelor s degree in Statistics, Data Science, Mathematics, Computer Science, Engineering, or related field Understanding of Sportsbook products is desirable #LI-SM1 Join Our Team We re a publicly traded more »
as we continue to build integrated solutions for our clients Skills and Attributes Bachelor s or Master s degree, preferably in Actuarial Science, Mathematics, Statistics, Finance or a related field Minimum 2 years of relevant Life Insurance actuarial experience for Consultant and at least 5 for Senior Consultant and above more »
Build a cutting-edge Cloud Native platform on top of the public cloud. Improve the metrics pipeline and build algorithms to generate better autoscaling statistics and recommendations. Work on the autoscale and Kubernetes operator to support seamless Vertical and Horizontal Auto-scaling. Work closely with our ClickHouse core development team more »
enable companies in the entertainment industry to significantly increase profit margins. You ll use a raft of different techniques from timeseries analysis to bayesian statistics, reinforcement learning & Monte Carlo Simulations. Your Experience : You ll likely come from a strong quantitative degree background in Science or Maths and have worked more »
the team through teamwork, training and leading by example. Key Candidate's Skills: A degree in numerate or hazard-related subjects, ideally Applied Maths, Statistics or Engineering, Computer Science or relevant scientific subject such as Physics, Seismology, Atmospheric Science, Geo-Sciences. Alternatively, relevant industry experience would be considered Working knowledge more »
like bagging and boosting. Understanding of model evaluation, data pre-processing techniques (standardisation, normalisation, handling missing data). Knowledge of summary, robust, and nonparametric statistics; hypothesis testing, probability distributions, sampling techniques, and stochastic processes. Cloud and Deployment : Proven experience in delivering high-quality AI-based products and productionising machine learning more »
reservoir of experience in quantitative research within a trading environment, notably in digital assets or traditional market spaces. A strong academic background in Mathematics, Statistics, Financial Engineering, or a related field. Proficiency in programming languages such as Python, R, or MATLAB is foundational. A demonstrable track record of developing profitable more »
points: Experience prototyping ideas discussed in research papers into code that can be assessed and benchmarked Experience with Deep Learning/Reinforcement Learning/Statistics applied to Machine Learning Experience with A/B testing Experience with data processing pipeline frameworks (e.g., Luigi or Airflow) Experience working with teams of more »
on a need basis SKLLS AND EXPERIENCE WE ARE LOOKING FOR PhD or Master's candidate in a quantitative field such as mathematics, physics, statistics or engineering 4+ years experience in financial modeling Excellent command of mathematics, modeling and numerical algorithms. Exposure to machine learning and data science skills, and more »
quality deliverables, which will provide a deeper understanding of the firm's client base, competition and market A Bachelor's degree in Marketing or Statistics along with demonstrable experience in market analyst/research positions. Secure analytical and numerical skills, comfortable working with quantitative data and a desire to problem more »
