performance. Investigate and implement new trading products and strategies. Qualifications: Bachelor's or Master's degree in a quantitative field such as Mathematics, Physics, Statistics, Computer Science, or related fields. Strong experience in quantitative trading with a focus on options. Proven track record of designing, implementing, and optimizing algorithmic trading more »
driven working independently. REQUIREMENTS: Must have experience in Computer Vision, SLAM, 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++ NEXT STEPS: If more »
and quantitative data. YOUR SKILLS AND EXPERIENCE: The Insight Manager will have the following skills and experience: Bachelor's degree in Marketing, Business, or Statistics; Master's degree preferred. Proven experience in market research-focused roles with strong analytical and communication skills, client or agency-side. Excellent experience in quantitative more »
issues. Provide system training for clients in person and remotely as needed Monitor system alerting and perform health checks Produce reporting on Service Desk statistics as necessary Carry out preliminary analysis on Power BI related issues. Update and maintain documents and procedures Required skills- Customer focused Excellent communication skills both more »
methodologies and processes. Come from a statistical/mathematical background and hold a Bachelor's degree or higher in a relevant field (e.g., Mathematics, Statistics, Computer Science). It would be great if you also: Previously worked in an actuarial team specifically engineering data solutions for pricing Have previously implementing more »
. Familiarity with low-latency trading systems, high-performance computing, and algorithmic trading strategies. Strong academic background in a quantitative field such as Mathematics, Statistics, Computer Science, Physics, or Engineering subject from a leading university. Excellent opportunity with a high-performing trading team rewarding package on offer with high growth more »
reporting ensuring accuracy and timeliness. Qualification and Experience requirements Degree in any recognized Degree in Finance, Accounting, Economics and other Quantitative discipline such as statistics, actuarial science etc. A master’s degree or Professional Certificate (e.g. CFA, FRM) would be an advantage. 5+ years working experience in the oil & gas more »
emerging machine learning methodologies. Educate the organization on Generative AI from both IT and business perspectives. Qualifications: A higher degree (PhD preferred) in Engineering, Statistics, Data Science, Applied Mathematics, Computer Science, Physics, Bioinformatics or related quantitative field. Hands-on experience with LLMs fine-tuning and/or training. Hands-on more »
Series C. You thrive in a data leadership role that is equal parts strategic and hands-on. You have deep knowledge of machine learning, statistics and optimisation, with plenty of Python and Google Cloud Platform experience. You’re used to working with large data sets from multiple sources, including simulation more »
Help produce Treasury reports for multiple governance committee such as ALCO & BARAC Key Skills/Experience: Undergraduate degree in Economics, Finance, Econometrics, Mathematics/Statistics, Computer Science or Engineering 2 years in a Treasury function Administrative & research skills. MS Office (Excel, Word and PowerPoint) Desirable - Bloomberg In return we offer more »
Experience/knowledge of FRTB, IRRBB and Risk Models such as Value-at-Risk (VaR) and Stress methodologies.. • Strong mathematical background covering stochastic calculus, statistics, matrix algebra, optimisation methods and interpolation techniques. • Object-oriented programming skills. Preferably Python and or C#, although skills in other languages such as C++, Java more »
Tableau/Looker/etc) to uncover key insights across channels and create self-service dashboards. EXPERIENCE Bachelor's Degree in a quantitative subject (Statistics, Mathematics, Economics) or Social Sciences, with heavy emphasis on quantitative methods; Master's degree or PHD is a plus. Degree will not be required with … will be expected to have an understanding and with guidance utilise our core technical skills: Core analytical languages and software (Excel, SQL, Python, Alteryx) Statistics Data Visualisation tools (Power BI/Tableau/Looker/etc) Web and Social Analytics (GA/Adobe/Brandwatch/Sprinklr) Value engineering/ more »
Present model findings and offer recommendations to key decision-makers and stakeholders The candidate: MSc/PhD in Data Science, Computer Science, Financial Engineering, Statistics, or related fields. 5+ years of industry experience as a Data Scientist or Senior Data Scientist A background working in financial services Experience with Python … Azure, Power BI and SQL Solid grasp of mathematical statistics including distributions, statistical testing, and regression. Skilled in employing advanced machine learning algorithms and statistical techniques like regression, simulation, scenario analysis, modelling, clustering, decision trees, and neural networks to address business challenges. Demonstrated track record of applying statistical modelling and more »
equity markets Continuous improvement of trading models and modelling techniques Qualifications: 3+ years quantitative hedge fund or proprietary trading experience Msc or PHD in statistics, mathematics, computer science or other technical discipline Demonstrated proficiency in Python For more information on this role please share your CV or reach out to more »
trading products and strategies. Qualifications: Experience in systematic volatility trading. Bachelor's or Master's degree in a quantitative field such as Mathematics, Physics, Statistics, Computer Science, or related fields. Strong coding skills in languages such as Python, C++, or Java. Please follow Algo Capital for the latest job updates more »
Product strategy through creating impactful tools for customers/members. Mentor junior engineering & data science hires. Requirements Strong academic background in a relevant field (Statistics, Computer Science, etc.) Years of commercial experience working on and deploying recommendation engines Excellent Machine Learning and Deep Learning skills Experience of working and deploying more »
responsible for developing and deploying machine learning models to automate and optimize healthcare provider processes. Experience: - Master's degree or PhD in Computer Science, Statistics, or a related field with a strong emphasis on machine learning. - 3+ years of experience developing and deploying machine learning models in a production environment more »
well as the ability to solve open-ended questions Bachelors/Masters in a highly analytical or technical field: CS, EE, Mech Eng, Math, Statistics, Physics, etc. Outstanding benefits package on offer to support you both professionally and personally. These benefits include generous medical coverage, paid parental leave, and a more »
with the PMs. The successful candidate should possess: A minimum of a Bachelor’s Degree in Computer Science, Engineering, Economics, Finance, Math, Sciences or Statistics required. A minimum of 3+ years’ relevant experience. While experience at a leading buy-side firm is strongly preferred, outstanding candidates from investment banks are more »
Strategy Implementation Working directly with traders implementing algorithmic solutions providing direct feedback into strategy designs Qualifications : Ph.D. or Master's degree in Mathematics/Statistics/Economics/Business from a reputed institution. (Preferably Top 10 Global) Demonstrated experience of >3 years working within a hedge fund/Prop Shop more »
top-tier university High confidence in their ability to create new strategies both independently and with team collaboration A strong background in mathematics and statistics, with good knowledge of statistical models and signal generation Proficiency in back-testing, simulation, and statistical techniques Data-mining skills paired up with data analysis more »
oversight of the production of risk reports and analytics covering all exposures and drivers of risk and PnL Requirements: A Degree in Mathematics, Physics, Statistics, Engineering or an equivalent in other science disciplines 4-10 years experience working within a Market Risk or Investment Risk role overlooking hedge fund strategies. more »
degree with high mathematical, statistical, and computing content e.g., Mathematics, Computer Science, Engineering, Economics or Physics from a leading university A deep understanding of statistics and an ability to apply to real world problems Strong coding skills and experience of handling large data sets. We use Python and its scientific more »
tools and models. Requirements: 2-3 years of experience as an economist, preferably in a top-tier financial institution or related field. Proficiency in statistics with the ability to apply statistical methods to diverse datasets. Strong coding skills and an interest in exploring new technologies. Collaborative mindset with an openness more »
Build APIs for the product. Drive smart and necessary DevOps decision within the ML function – MLOps. Requirements Strong academic background in a relevant field (Statistics, Computer Science, etc.) Significant commercial experience deploying and maintaining (MLOps) Machine Learning algorithms and infrastructure. This would ideally be in a digital B2C product or more »
