learning techniques. Experience with data manipulation tools (e.g., Pandas, NumPy) and visualization libraries (e.g., Matplotlib, Seaborn). Familiarity with financial databases/APIs like Bloomberg, Reuters, Quandl, or FactSet. Understanding of financial instruments (equities, fixed income, derivatives, etc.) and market microstructure. Knowledge of SQL and cloud platforms (e.g., AWS, Azure more »
or fintech. Strong understanding of financial instruments, derivatives, and risk management principles. Technical Skills: Advanced knowledge of Excel and experience with financial systems (e.g., Bloomberg, Reuters, or similar). Familiarity with accounting principles (e.g., IFRS, GAAP) and regulatory requirements (e.g., Basel III, IFRS 9). Statistical Techniques: Linear & Logistic Regression more »
in Python and familiarity with AI/ML tools and platforms such as Azure, AWS, GCP, Databricks, MLFlow, Airflow, and financial-specific platforms like Bloomberg Terminal, SAS, or MATLAB. Experience with structured and unstructured financial data, including time-series analysis, market data, and transactional data. Ability to articulate complex AI more »
or fintech. Strong understanding of financial instruments, derivatives, and risk management principles. Technical Skills: Advanced knowledge of Excel and experience with financial systems (e.g., Bloomberg, Reuters, or similar). Familiarity with accounting principles (e.g., IFRS, GAAP) and regulatory requirements (e.g., Basel III, IFRS 9). Statistical Techniques: Linear & Logistic Regression more »
and generative AI for financial applications. Familiarity with time series forecasting, anomaly detection, or deep learning techniques . Exposure to financial APIs such as Bloomberg, Refinitiv, or Open Banking. Experience with cloud platforms (AWS, GCP, or Azure) for model deployment. Understanding of big data technologies like Spark or Hadoop. Knowledge more »
Desirable Attributes Previous experience in financial services, research, or data analysis is advantageous but not essential. Familiarity with financial tools and software such as Bloomberg, Excel (advanced), or Python is a plus. An interest in sustainable or ethical investing is highly valued. What We Offer Competitive starting salary with opportunities more »
frameworks as applied internally. Closing out model validation and audit findings Azure DevOps and Git version control Experience with systems such as Summit, Murex, Bloomberg, Superset DAP, Reuters, ActivePivot is also a plus. Personal Competencies Essential: Strong quantitative problem-solving skills (this will be tested at interview) Skills which ideally more »
Skills & Qualifications Educational Background & Technical Skills Bachelor's degree in Finance, Economics, Business, Mathematics, or a related field. Experience using MetaTrader (MT4/MT5), Bloomberg Terminal, or similar trading platforms. Strong proficiency in Excel; knowledge of Python or other coding languages for quantitative trading is a plus. Market Knowledge & Analytical more »
Ability to work without significant direct supervision. Previous experience of regulatory capital model & economic capital model is preferred. Knowledge of Numerix and/or Bloomberg a plus. more »
knowledge (SQL) and cloud deployment experience (AWS preferred). Expertise with visualisation platforms like Dash/Plotly and familiarity with market data tools (e.g., Bloomberg). Analytical Skills: Proven ability to handle large datasets and deliver actionable insights through rigorous analysis. Commitment to Excellence: A meticulous approach, strong ethical standards more »
preparing and delivering presentations to senior stakeholders. Proficiency in Microsoft suite (Excel, Word, PowerPoint) + programming languages is a plus. Understanding of information systems: Bloomberg and an understanding of Intex and Aladdin would be beneficial. Knowledge of statistical techniques and modelling tools commonly used in financial analysis. About Royal London more »
well as strong verbal and written communication skills Modelling and programming experience with Excel/VBA, Python, C# or C++ strongly preferred Expertise in Bloomberg, Intex, Numerix, and PowerBI is beneficial About Kroll: Join the global leader in risk and financial advisory solutions – Kroll. With a nearly century-long legacy more »
trading systems and customized investment applications or platforms. Prior experience supporting enterprise order management systems such as CRIMS (Charles River Investment Management System), Aladdin, Bloomberg AIM or similar. Knowledge of one or more of SQL, NoSQL databases. Experience with ETL, data integration and workflow orchestration software. Experience with real-time more »
including SQL Strong knowledge of MS Excel Experience dealing with large datasets Experience with AWS/cloud deployment Experience with market data sources including Bloomberg Experience with Dash/Plotly or other visualisation software Excellent analytical, problem-solving, and critical-thinking skills, with a keen attention to detail Commitment to more »
to have skills Degree in a relevant subject (e.g., Quantitative Finance, Statistics). CFA, FRM, or similar qualifications, or progress toward completion. Knowledge of Bloomberg, RiskMetrics, Barra, or similar systems. more »
oriented and enjoys working in a fast-paced work environment. Advanced proficiency in Microsoft Office, including PowerPoint and Excel, with a proficiency in using Bloomberg being a desirable skill as well. Fluency in a European language desirable. Work at the Point of Impact We need to be forward-looking to more »
one (or more) of the following programming languages; Python, R, Matlab or SQL Interest in sustainable investing/ESG related issues Ideally knowledge of Bloomberg and other data platforms Degree educated in a relevant field, preferably with a quantitative capacity Collaborative approach to work Excellent analytical and problem-solving skills more »
our users with up-to-the-millisecond market moves and analytics as well as connecting them with their counterparts and the wider community of Bloomberg Terminal subscribers. Our Trading Automation & Analytics team consists of physicists and mathematicians who built their careers with major asset managers, hedge funds and broker dealers more »
platforms) Experience in processing large and complex datasets Knowledge of financial data (security master, tick & bars pricing data, etc.), a plus with experience in Bloomberg, Refinitiv Good communication and interpersonal skills Ability to perform well under pressure Enthusiastic, flexible and adaptable Ability to work independently as well as part of more »
of the DB buy in/buy out market, life insurance and relevant regulation. Experience Experience working with pension scheme asset portfolios and using Bloomberg is desirable. Coding experience is desirable, for example Julia, Python and/or VBA. more »
to junior data analysts. Prior experience mapping security identifier data or working with a security master database would be beneficial. Prior experience working with Bloomberg Terminal. Familiarity with Linux and basic Bash scripting skills. For more information about DRW's processing activities and our use of job applicants' data, please more »
data dashboards and analytical solutions Proficiency in Python required Nice to have skills: Relative industry experience in Fixed Income business analysis Solid understanding of Bloomberg or similar systems and order management systems Potential for growth: Mentoring Leadership development programs Regular training Career development services Continuing education courses You will be more »
to effectively support business processes and financial operations within a trading environment. Experience working with market data providers such as ZEMA, Refinitiv PointConnect, and Bloomberg is advantageous. Your ability to integrate and utilise market data effectively will contribute to improved decision-making, reporting accuracy, and overall business efficiency. Ability to more »
inclusive culture speaks for itself. Here's a few of our awards: Fortune World's Most Admired Companies & Top 20 for Diversity and Inclusion Bloomberg's Gender Equality Index (GEI) Best Places to Work for Disability Inclusion , Disability: IN - 100% score 100 Best Workplaces for Innovators, Fast Company Human Rights more »
teams. Industry expertise: Understanding of various valuation models (e.g., IFRS, GAAP and their inputs SONIA rates, Spot rates, Forward curves ). Familiar with Reuters, Bloomberg and/or any other reputable company. more »
