5 of 5 Time Series Analysis Jobs in the South East

decisions regarding market risk modelling for Equity derivatives positions traded in Europe and Asia. Assessing appropriateness of the market risk model outputs by performing time series review and stationarity test, Basel traffic light backtesting and VaR breaches explanation, P&L attribution test, pricing model benchmark, and quantification of … validation to review, in accordance with Firm’s Model Risk Management policies and framework. Qualifications: Strong background in market risk models and methodologies (e.g. time series analysis, VaR methodologies and backtesting), with 5 - 8 years of previous experience in a quantitative role at a financial institution. Good … products. Strong programing skills and data handling skills in SQL and Python (ability to wrangle large data sets, implement statistical tests, and perform data analysis on test results). Excellent communication and presentation skills (ability to engage in concise, effective discussions). Excellent written skills (ability to produce well More ❯

Job Title: Quantitative Analyst, Power & Gas Contract Type: Permanent Time Type: Full time Job Description: The Quantitative Analyst is part of the Power and Gas team, delivering advanced analytics for the power and gas trading desk within Gunvor, ideally based in London. They are responsible for providing high …/Natural Gas spectrum. Main Responsibilities: In-depth expertise in evaluating and assigning value to physical assets Assist the traders with ad hoc market analysis/insights. Maintain and improve existing pricing models Identify the right set of models and develops the right code/package to execute them. … respective key stakeholders. Support Origination activity and investment decisions. Communicating technical jargon in plain English to colleagues within the team. Prepare various reports and analysis for publishing internally. Maintain and improve teams IT capabilities. Develop systematic trading strategies for the Power/Natural Gas Market. Profile/Key Skills More ❯

Monitoring team, you will: Develop and refine the intelligence used to detect financial crime, balancing efficacy with operational efficiency to reduce false positives, investigation time, and customer friction Deliver actionable insights that directly improve detection rates, uncover new risk patterns, and inform prevention strategies Act as a bridge between … as a data analyst, preferably in fraud, AML, or financial risk monitoring Solid understanding of statistical concepts and experience applying methods such as forecasting, time series analysis, A/B testing, or regression analysis Experience in producing insights that led to measurable improvements, ideally in relevant … and sometimes messy datasets Experience designing, building, and maintaining ETL pipelines or data models, ideally using tools like dbt Proficiency in Python for data analysis, including data manipulation, visualisation, and basic modelling Strong data storytelling and communication skills: you can translate complex data into clear, actionable recommendations for both More ❯

leading proprietary trading firm is seeking a skilled PM to develop strategies for their Cash Equities desk. This role entails conducting microsecond-level market analysis, developing ultra-low latency trading signals, and implementing high-performance systematic strategies into production. The focus will be on generating consistent PnL while maintaining … such as C++, Python and Java Hands-on experience with High Frequency Trading (HFT) and designing ultra-low-latency systems Proficiency in statistical modelling, time series analysis, and machine learning techniques Strong communication abilities in explaining your methodologies This is an amazing opportunity to join a leading More ❯

Key Responsibilities: Develop and implement quantitative models for asset-liability forecasting and interest rate risk management. Utilise advanced econometric and statistical techniques such as time series analysis and regression modelling. Translate complex technical concepts for both technical and non-technical stakeholders. Write robust, production-ready Python code More ❯

Data Science/Machine Learning would be useful. We use a range of predictive analytics and machine learning methodologies, including logistic regression and cluster analysis, plus some predictive time series analysis. More ❯