Produce and issue monthly/annual Client reports incorporating key performance indicators (KPIs), engineer performance, relevant issues and concerns, legislative impacts, health and safety statistics, etc. Team Leadership and Supervision: Manage and supervise the service desk, overseeing performance and technical issues to ensure optimal service delivery. Supervise service engineers' performance more »
or at least a strong understanding of micro economic principles. You will be experienced in quantitative economic analysis, in particular knowledge and experience of statistics and econometrics, ideally applied in the utilities sectors. This will include at least some exposure to STATA. Skills we’d love to see/Amazing more »
compliance, security, and load challenges of operating a high-volume, transactional gaming site in an offshore regulated environment.Oversee the analysis and reporting of bug statistics, using data to drive decisions that improve product quality and inform development priorities.Work collaboratively with cross-functional teams, including Product and Delivery Managers and Technical more »
are working together to propel society to net zero!Could this be of interest? Apply now!Data Scientist Key Words: Data, Science, Scientist, Analytics, Statistics, Flexible, collaboration, Python, R, SQL, Mathematics, Statistics, Statistical, Predictions, Predictive, AI, Machine Learning, Deep Learning, Modelling, Algorithms, Pandas, NumPy, PyTorch, TensorFlow, ELT, ETL, AWS, Azure more »
Information System Manage Data flow and reporting capabilities, support Governance for Assessment processes Link Assessment to Mentoring topics Requirements: Psychological background- MA in Psychology, Statistics or Data management, or HR Desired: Work experience at a psychological assessment company, or in-house role (eg. SHL, DDI), reporting on data, process development. more »
in applying tools from finance, mathematics, and data science to provide pragmatic and robust solutions to real-world problems. Strong knowledge of mathematics and statistics as applied to finance and credit risk. Hands on experience in credit risk modelling or the valuation of financial products. A master’s degree in … Finance, Economics, Mathematics, Statistics, Engineering or Computer Science from a reputable university. Desirable previous credit risk modelling experience or the building and/or validating credit risk models obtained from within a bank or a credit ratings agency. Some programming skills in a high-level language (e.g., Python, R, MATLAB more »
Work in our strong and diverse Data Science team, in which you will take full ownership of your work Qualifications: PhD or Master in statistics, data science, computer science, mathematics or a related field Strong interest in modeling, probability and statistics (time series predictions, bayesian inference, machine learning among other more »
The client is an established and well renowned Systematic Hedge Fund, known for its strong performances since inception. They foster a collaborative environment between Research and Trading teams based across London, New York, Paris, Hong Kong, and take pride in more »
This role gives great exposure to the research and development of systematic trading models. You will be working very closely with other Quants in the team, understanding requirements and identifying opportunities to improve current systems, software and technical components of more »
Investment Operations Associate: Our client is a London based Hedge Fund. Role: Proactively identify opportunities for process improvement and autonomously manage these projects. Daily “t+1” trading reconciliation of trading positions and cash accounts. Daily trade settlements and escalation of failing more »
to C# Strong understanding and practice of solid design principles (module design, Cohesion and coupling Prior exposure to continuous integration. Mathematical aptitude especially around statistics Solid background building kubernetes cluster Alongside an overly generous salary, you will be entitled to health insurance, consistent skills training opportunities and of course a 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 »
/annual reports to Head Office Assist Branch Foreign Exchange Risk Management Assist Branch banking book interest rate risk management Support collating of business statistics figures for internal management reports and regulatory reporting purpose Actively participate in system development to enhance the function and ability of data analysis Skills and more »
engineering team to bring analytical prototypes to production Generate actionable insights for business improvements Qualifications Bachelor's degree or equivalent experience in quantative field (Statistics, Mathematics, Computer Science, Engineering, etc.) At least 1 - 2 years' of experience in quantitative analytics or data modeling Deep understanding of predictive modeling, machine-learning more »
review culture within the team Requirements Minimum 4 years’ hands-on experience as a Data Scientist BSc or MSc in a quantitative discipline eg. Statistics, Mathematics, Physics, Machine Learning Deep expertise in Python (production-level) and SQL Proficiency in machine learning libraries (eg. Pandas, scikit-learn, TensorFlow) and experience with more »
experience required. - offering rapid growth and rewards based on ability, attitude and performance. Ideally, you will have graduated with a Bachelors degree in Mathematics, Statistics, Computer Science or a similar field with strong outcome (2:1 or above) Have acquired some underwriting-related experience - course work, CII certification, work experience more »
models to ensure accuracy and robustness. Assist in the preparation of reports and presentations summarising analysis findings. Must Have: Bachelor's degree in Mathematics, Statistics, Finance, Economics, or a related field. Strong analytical skills with a passion for problem-solving. Proficiency in programming languages such as Python, R, or MATLAB. more »
problem-solving skills; Excellent communication and presentation skills, in particular to senior stakeholders; Financial knowledge of Delta 1 and Equity Derivatives products; Understanding of statistics and financial mathematics. more »
company initiatives. Ensure that data-driven insights are accessible and actionable across the organization.Requirements:Education: MS or PhD in Data Science, Computer Science, Mathematics, Statistics, Physics, or a related field.Technical Skills: Expertise in SQL, Python, and Spark. Strong experience in big data technologies, AI, ML, and data modeling. Familiarity with more »
qualifications are highly desirable in our ideal candidate for this position:Educational Background: Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or a related field.Professional Experience: Extensive experience in data science, analytics, or engineering roles is required, with a significant portion in leadership positions. Prior experience more »
guild and become the go-to expert for data management. Requirements: Educational Background: Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or related field. Professional Experience: Extensive data science, analytics, or engineering experience, particularly in leadership roles and the banking or financial services sector. Technical Proficiency more »
investment analysts and portfolio managers to effectively support and optimize their potential for generating superior returns for clients. Experience: Degree in Quantitative Finance, Mathematics, Statistics, Physics, Computer Science, or a related field. Strong quantitative skills with proficiency in statistical analysis and coding (Python, R). Experience in applying quantitative methods more »
and internal stakeholders, serving as a trusted advisor and thought leader in the field. Qualifications: Advanced degree (Ph.D. or Master's) in Computer Science, Statistics, Mathematics, or related field. Proven experience leading data science and machine learning initiatives, with a track record of delivering impactful solutions. Proficiency in programming languages more »
and algorithms · Familiarity with Unix systems, common command line tools e.g., grep, awk and source control tools e.g., git · Familiarity with Machine Learning and Statistics a plus · Excellent problem-solving and analytical skills. · Experience working in an Agile development environment. Our Amazing Benefits · Hybrid/Flexible working model · 25 days more »
