of data analysis processes, methodology, and results to ensure replicability and transparency. What You Will Need • Bachelor's degree in computer science, data, statistics, mathematics, or a related field. Master's degree preferred. • Proven experience as a Data Analyst, Data Scientist, or in a similar role with a focus on more »
with the ability to collaborate effectively with colleagues from diverse backgrounds and disciplines. Preferred Qualifications: Master's degree or PhD in Computer Science, Engineering, Mathematics, Statistics, or a related field. MLOps experience, Experience with cloud computing platforms such as AWS, Azure, or GCP (Google Cloud Platform). Familiarity with big more »
and record relevant Continuous Professional Development (CPD) to develop knowledge and skills. Competencies Technical/Qualifications Degree, ideally in computer science, IT, statistics, analytics, mathematics or other related field. Proven experience in data engineering, data analysis/processing, machine learning techniques, data warehouses, data pipelines, preferably in a Financial Services more »
Negotiate contracts, oversee vendor performance, and assess emerging technologies and trends in the data management space. Qualifications: Bachelor's degree in computer science, engineering, mathematics, statistics, or a related field; advanced degree (e.g., MBA, MS, or PhD) preferred. 10+ years of experience in data management, analytics, and business intelligence, with more »
a hybrid role with the availability for some remote work and client site traveling. Qualifications Being enrolled in a MSc in Computer Science, Statistics, Mathematics, Operational Research, Econometrics or related science field from a well-established University Advanced level in using programming tools and platforms to manipulate datasets and perform more »
Glasgow, Scotland, United Kingdom Hybrid / WFH Options
SThree
of your role. About us SThree is the global STEM-specialist talent partner that connects sought-after specialists in life sciences, technology, engineering and mathematics with innovative organisations across the world. We are the number one destination for talent in the best STEM markets: Recruiting highly skilled professionals and discovering more »
abreast of industry trends, academic research, and emerging technologies in quantitative finance and algorithmic trading. Qualifications: Bachelor's degree or higher in quantitative finance, mathematics, computer science, physics, or a related field. Solid programming skills in languages such as Python, C++, Java, or R, with a strong emphasis on object more »
Oxford, Oxfordshire, South East, United Kingdom Hybrid / WFH Options
Job Heron
all stakeholders (non-technical and technical). Strong problem-solving skills and attention to detail. Desirable Experience: Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field Applicable certifications Benefits: 28 days of annual leave (incl. UK bank holidays), with a day added for each year of service more »
how/if to apply them appropriately Minimum qualifications: Strong academic record and a degree with high mathematical and computing content e.g., Computer Science, Mathematics, Engineering or Physics from a leading university. 5+ years of progressive software engineering experience Expert knowledge of Python and related popular libraries Experience in building more »
Manchester, England, United Kingdom Hybrid / WFH Options
SYSTRA
knowledge A passion for learning new technologies and an interest in the Transportation, Environment or Energy sectors Bachelor’s degree in Computer Science, Applied Mathematics, Statistics, Engineering, or related fields Relevant industry experience, including demonstrable experience of delivering solutions, including machine learning, digital products, and working with large scale data more »
are desirable). They will also have experience working with SQL databases. Ideal candidates will have: Bachelors or Master’s degree in Computer Science, Mathematics, Statistics or related field 2 - 8 years of experience in software development within a hedge fund, investment bank or other financial institution Strong programming skills more »
many of these specific qualifications is a plus, but transferable skills/experiences may be equally valuable: Masters or PhD Degree in Computer Science, Mathematics, or a related technical field 4+ years of experience in a software engineering role Strong design, and implementation skills and a drive to debug and more »
A passion for solving complex problems. The equivalent of a Bachelor's Degree in Software Engineering, Computer Science, Information Technology, Information Systems, Computer Engineering, Mathematics, Physics, or similar. more »
Technical skills: Professional level of tools such as Python, SQL, R and Excel. Academic degree in highly quantitative discipline or specialization such as Physics, Mathematics, Statistics, Engineering, Quantitative Economics, Computer Science. Previous experience in the Financial Crime Compliance field and good understanding of anti-money laundering/financial crime controls. more »
team to bring analytical prototypes to production Generate actionable insights for business improvements Qualifications Bachelor's degree or equivalent experience in quantitative field (Statistics, Mathematics, Computer Science, Engineering, etc.) At least 1 - 2 years of experience in quantitative analytics or data modelling Deep understanding of predictive modelling, machine-learning, clustering more »
processes. Work closely with cross-functional teams to understand business needs and provide data-driven insights and solutions. Requirements: Bachelor's degree in Finance, Mathematics, Computer Science, or related STEM Degree. Proficiency in PowerBI or Tableau for data visualization and reporting. Strong programming skills in Python or SQL for data more »
significant impact on business outcomes. Communicate findings and insights effectively to technical and non-technical stakeholders. REQUIREMENTS: A Bachelor's degree in Computer Science, Mathematics, Statistics, Business Administration, or related field. Advanced knowledge of SQL and Python, including popular Data Science packages such as pandas, matplotlib, seaborn, numpy, and sklearn. more »
Adept at queries, report writing, and presenting findings Excellent communication skills with a natural problem-solving attitude. Exclusive consideration for elite applicants BS in Mathematics, Economics, Computer Science, Information Management, or Statistics The following would be a great advantage: Knowledge of statistics and experience using statistical packages for analyzing datasets more »
emerging requirements. Requirements: Advanced degree in computer science or related scientific fields. Experience in financial markets, particularly rates, FX, or credit. Proficiency in financial mathematics, modeling, and statistics. 3+ years of development experience with Python (pandas/numpy, etc.) Strong analytical skills and problem-solving capabilities. Proven experience working in more »
user licenses incl. onboarding and offboarding analysts. Managing migration programs for transitioning between reporting solutions. ABOUT THE QUALIFICATIONS Bachelor's degree in Computer Science, Mathematics, Statistics, or a related field Relevant master’s degree would be advantageous. 6+ years of experience with data modelling and visualization techniques Expertise in report more »
the Data Catalog, classification, and data quality standards of data elements) YOU BRING (EXPERIENCE & QUALIFICATIONS) Bachelor’s or higher degree, preferably in computer science, mathematics, statistics, or related fields 3+ years of experience working in data-related or project roles (e.g. Data Management, Data Governance, CDO Office, or BI & Analytics more »
vision of the team and the firm Required qualifications, capabilities, and skills Advanced degree in analytical field (e.g., Data Science, Computer Science, Engineering, Applied Mathematics, Statistics, Data Analysis, Operations Research) Experience in the application of AI/ML to a relevant field, Demonstrated practical experience in machine learning techniques, supervised more »
organization To do this, you will need: Master’s degree or doctorate in an appropriate field, such as data science, computer science, applied statistics, mathematics, or equivalent Experience applying machine learning models in an appropriate biological domain or equivalent data context, such as on imaging or chemical structure data Experience more »
of the products capabilities. What You'll Bring (Experience & Qualifications) • Preferred Master's degree with demonstrated high academic achievement, preferably in quantitative sciences (e.g., mathematics, statistics, or computer science engineering), other data/analytical centric disciplines, or business administration (with a focus in finance or economics and relevant exposure to more »
approaches. What we’re looking for: At least five years of relevant experience, particularly in development and maintenance of Python based systems Degree in mathematics or computer science related discipline Significant experience of coding in Python – understanding of advanced coding techniques (abstraction, design patterns, unit testing) and CI/CD more »