11 of 11 Permanent Numerate Degree Jobs in East London

analysts. Pitch in on ad-hoc analytics projects—anything from volatility clustering studies to optimisation of storage dispatch—whenever the desk needs statistical horsepower. REQUIREMENTS: Minimum of a degree in Statistics, Applied Maths, Physics or related field. Minimum of 2 years working in a Data Science related role Proven depth in probability & inference (e.g., Bayesian updating, time-series More ❯

and automation in the pricing workflow, leveraging tools like Earnix or Akur8 Participate in cross-functional projects aimed at enhancing pricing capabilities and increasing market share Skills Required Degree in Mathematics, Statistics, Economics, Actuarial Science, or a related quantitative field 1+ years of experience in a pricing or data analysis role, preferably within the insurance industry Experience in More ❯

Excellent data-visualisation and communication skills: able to turn millions of simulation samples into one decisive slide. Bachelor’s+ in EE, CS, Physics, Applied Maths or related; advanced degree preferred but not required. Personal or open-source projects in simulators, ML kernels, or performance analysis are a significant plus. Compensation & Benefits Competitive salary and stock options in a More ❯

own quantitative models Collaborate with top engineers, quants, and researchers to tackle complex challenges Learn rapidly and grow within a firm that thrives on initiative What You Bring Degree in Mathematics, Computer Science, Physics, Engineering, or related STEM field Proficiency in at least one core programming language (Python, C++, Java, C#, KDB+/Q, etc.) Analytical mindset with More ❯

conventions, or order routing logic Strong analytical skills and a bias toward proactive problem solving Clear communicator who can explain technical findings to commercial or client teams Undergraduate degree in Mathematics, Computer Science, Engineering, Finance, or related quantitative field Familiarity with SQL, Excel, or BI tools for reporting is a plus Interest in working at the intersection of More ❯

Analytics. Strong Excel/Google Sheets skills. Experience in commercial analysis (target building, forecast setting, promotional analysis). Strong communication skills. Awareness of digital marketing. A Level/degree in Mathematics or STEM. Knowledge of statistics. Python experience for data analysis. Hands-on experience with dbt. Awareness of data governance best practices. This is a hybrid role requiring More ❯

studies, white papers and thought leadership content Support pitches and strategic projects with data-led storytelling and bespoke analysis Must haves:- A Mathematics, Informatics, Statistics or Computer Science degree or equivalent with several years experience and advanced health data and analytic skills. Skilled user of Tableau, SQL, ETL, Python and other data tools Confidence in undertaking a full More ❯

large organizations preferred preferred) Confident in choosing and applying statistical techniques in the correct manner, with a keen eye for detail and strong critical thinking skills. (A numerical degree is preferred) Proficiency in Snowflake or other cloud computing environments with focus on Big Data analytics, underpinned by proficiency in SQL and Python. Knowledge of version control and model More ❯

scalable back end systems, ideally for customer-facing products Clear experience building and consuming RESTful APIs Bonus Points For: A strong numerical or technical background, underpinned by a degree in Maths, Physics, Computer Science, Engineering This is a high-impact opportunity to shape a major revenue channel at one of Europe’s leading fintech innovators – with the freedom More ❯

colleagues and stakeholders at all levels. Data Governance - Maintain data quality assurance and build a credit data dictionary . Key Requirements: Strong modelling background- specifically ECL models A degree in Math’s, Physics, Engineering or similar. Advanced coding skills in SAS, SQL, or Python . 2+ years’ experience gained in a Credit Risk team for a retail lending More ❯

digital asset services which includes client onboarding, creation and maintenance of governance rules, transaction processing, monitoring, reporting, staking and operations risk reporting. In the initial stages a high degree of project support and business analysis will be required. The Operations Manager will be responsible for leading the Admin Operations team, to ensure it fulfils its obligations both to … implemented in a timely manner. Undertaking any other such duties as may be reasonably required by the role Qualifications, Skills & Experience: A graduate in a statistical or analytical degree, ideally sciences, engineering, business, economics or similar and able to demonstrate expertise in statistical analysis, risk assessment and process/workflow design. Minimum 4 years’ industry experience in financial More ❯