demonstrated by a history of identifying and implementing automation opportunities. Experience working with a variety of data storage and manipulation tools such as SQL, Pandas, Elasticsearch & Kibana, Snowflake. Ability to recognize patterns and establish standards to streamline development and enhance reliability. Excellent interpersonal skills, enabling positive and collaborative relationships with more »
and productionalize containerized algos for deployment in hybrid cloud environments (GCP, Azure) Connect and blend data from various data sources within enterprise tools (python, pandas, or SQL) to enable application of Data Science methods Create metrics and analytical reports to ensure data quality and business value. Clean, structure and normalize more »
microstructure experience would be very beneficial. Proficiency in programming languages such as C++, Python or MATLAB along with experience in data analysis libraries (e.g., pandas, NumPy) and version control systems (e.g., Git). Familiarity with low-latency trading systems, high-performance computing, and algorithmic trading strategies. Strong academic background in more »
London, England, United Kingdom Hybrid / WFH Options
Morgan McKinley
or Wealth Management environment. Systems/Internal Processes Familiarity with programming languages such as Python, R or Java and with data analysis libraries (e.g. Pandas, NumPy, scikit-learn). Understanding of database technologies (ETL) and SQL proficiency for data manipulation, data mining and querying. Knowledge of Big Data Tools (Spark more »
Swaptions, XCCY swaps. Government Bonds & Bond Futures. FX – Linear and Vanilla. Data Strategy Engineer Tech Stack: A minimum of 1.5 years experience using Python (pandas, numpy, requests etc). Excel. Databases: an understanding of SQL and NoSQL databases (postgress, mongo). REST API. Bloomberg API (Excel and python). Data more »
will collaborate closely with cross-functional teams to design, implement, and optimize Python-based applications, with a particular emphasis on utilizing Airflow and also pandas for efficient data manipulation and analytics. This role offers an exciting opportunity to contribute to the transformation of their business through the application of innovative … technical solutions. Working with Product team to integrate financial products of external clients, manage data flows, source market data and analyse financial algorithms. Utilize Pandas for data processing, transformation, and analysis tasks, ensuring high performance and accuracy. Implement data pipelines for ingesting, cleansing, and transforming large volumes of structured and … identify areas for improvement, and implement best practices to ensure code quality and maintainability. Stay updated on emerging trends and technologies in Python, Airflow, pandas, and data engineering, and incorporate them into our development practices. Qualifications Proven experience as a Python Developer, with a strong focus on data processing and more »
. Database querying, load, update, and transformation using SQL . Substantial experience with using Python to analyse data using standard analytical libraries such as Pandas and, ideally, with building web apps using Flask . Experience with modern data visualisation platforms , ideally Tableau. Track record of continuous learning and innovative thinking. more »
Python and SQL. Cloud technologies, ideally AWS. Columnar database, ideally Redshift. ETL and related practices. Excellent communication skills. Other technologies such as Kubernetes, Terraform, Pandas, EMR. Must be fully eligible to work in the UK, cannot offer sponsorship. more »
multi-layered "location" data. The Tools You'll Be Using: You'll be working in a cloud-first Google Cloud Platform environment. Using Python (Pandas) for Data Manipulation. Leveraging Python further for ML-based algorithms. The Experience You Need: You will bring 2-3 years of experience as a Data more »
in machine learning, computer science or related field. Proven track record of peer-reviewed publications. Strong programming skills and experience working with Python and Pandas, Numpy, scikit-learn or other standard ML and deep learning libraries Familiar with commonly used machine learning algorithms and experience in using at least one more »
React Conatinerisation and IaaC: Docker, Terraform Databases: PostgreSQL, TimescaleDB & NoSQL Databases At least one major cloud platform (GCP Preferred) Familiarity with Python including NumPy, Pandas The Company A well backed start up who bring together huge experience within their space and are delivering a game changing platform within the Green more »
Python Developer - Middle and Back Office - Commodity Trading - £90,000 - 3 days per week in Office Cititec Talent are currently working with a global commodities trading company that has been a pioneer in the industry and has grown from a more »
Required Experience: 4+ year's commercial experience in a similar role, Data Engineer, ML Engineer, etc Extensive commercial experience with Python and relevant ecosystem; Pandas, Tensorflow, etc Commercial experience delivering AI/Machine Learning algorithms Commercial experience with cloud computing platforms - GCP or AWS ideally Comfortable working in cross functional more »
algorithm development. Proficiency in quantitative analysis, statistical modeling, time series analysis, and data visualization. Experience with quantitative libraries and frameworks such as NumPy, SciPy, pandas, TensorFlow, or PyTorch. Familiarity with financial markets, trading instruments, and market microstructure. more »
candidate should have the majority of the following: Bachelor's degree in Computer Science, Engineering, or a related field. Strong Python development. Experience with Pandas is desirable. 3+ years of experience in data engineering. Experienced in building ETL data pipelines. Relational database experience w/PostgreSQL. Understanding of tech within more »
Have a Bachelor's or Master's degree in Computer Science or related field. 3+ years of data engineering experience with strong Python (including Pandas) skills. Strong proficiency in Object-Oriented Programming. Have strong problem-solving and communication skills. Experience working in Commodities, Trading or Financial Services markets. For more more »
series and ensemble models. Experience in manipulating and interpreting data from disparate sources. Proficient in Python coding and core data science libraries, such as Pandas, TensorFlow, Scikit-learn etc. Experience with Cloud Computing (AWS, GCP, Azure) - Ideally in AWS. Creativity and innovative thinking to explore diverse data sources for improved more »
ABS Vue Angular React Agile AWS GCP Buy Side Asset Manager Investment Management Performance Risk Attribution TypeScript Node Finance Front Office Trading Financial Services Pandas Numpy Scipy) required by our asset management client in London. You will join a team of 8 that is responsible for an in-house built more »
PySpark Spark Glue Athena Iceberg Airflow Dagster DBT Java Agile AWS GCP Buy Side Asset Manager Investment Management Finance Front Office Trading Financial Services Pandas Numpy Scipy Banking) required by our asset management client in London. You MUST have the following: Strong experience as a Python Data Engineer/Developer … PySpark Spark Glue Athena Iceberg Airflow Dagster DBT Java Agile AWS GCP Buy Side Asset Manager Investment Management Finance Front Office Trading Financial Services Pandas Numpy Scipy Banking) required by our asset management client in London. You will join a team that has built a number of Front Office investments more »
