Data Analyst - Equities - Systematic Quant Fund
On site
London, United Kingdom
£ 120,000 / year
Full Time
22-11-2024
Job Specifications
Data Analyst - Equities - Systematic Quant Fund
A leading Systematic Trading Firm are looking to bolster their Front Office Data team by hiring a Quantitative Data Analyst.
Responsibilities:
Working hand-in-hand with Trading and Research functions to produce data for trading.
Working with Realtime Data to construct reports, that are utilised by Research teams.
Scaling the availability of reference data, with a focus on the quality of the data.
Programming predominantly in Python, with a strong focus on data libraries.
Requirements:
Previous experience working with Financial Datasets.
Strong programming and design experience in Python.
Experience working with Front Office Stakeholders
Very strong communication skills.
Top Educational Background.
If interested in this role, please apply through this advert.
About the Company
Welcome to Vertus Partners. We are a market leading Financial Services and Technology recruitment consultancy, recognised for best practice and customer experience. Through honest, collaborative and effective relationships we have developed a track record as a leading supplier to some of the world's best known Financial Institutions, as well as a host of FinTech and Digital organisations, providing Contract and Permanent resources across the following areas: * IT & Digital * Quant & Data Science * Business Change & Tra... Know more
Related Jobs
- Company Name
- TRIA
- Job Title
- Finance Data Analyst
- Job Description
- Finance Data Analyst Up to £55,000 Hybrid - Central London - 2x per week We are representing a B2B professional services business who are looking for a Finance Data Analyst to join their organisation. This is a global business, headquartered in the UK, with a great history and reputation in the market. This role will report to the Finance Manager and will join an established CFO function of approximately 15 people. As the Finance Analyst, you will be work on a mixture of reporting, financial model development and supporting their finance system (Infor Sun Systems). You will develop financial models using Excel, produce and analyse monthly management information, and develop interfaces between the finance system and other systems - eg expenses, timesheet recording etc. The company are looking to upgrade their ERP system in future, as well different finance applications, so there will be the opportunity to be a part of several important projects focused on bettering the business. We are looking for: Advanced reporting and modelling skills with Excel - eg VLOOKUP, PivotTables, VBA, and Macros Prior experience working within Finance teams Strong communication and interpersonal skills It would be a bonus if you had: Previous experience with Infor Sun Systems software Experience with Visio Data Visualizer add-in for Excel An accountancy background or relevant qualification/training If this role sounds of interest, please apply today!
London, United Kingdom
On site
Full Time
27-11-2024
- Company Name
- iO Associates - UK/EU
- Job Title
- Junior /Mid Data Engineer
- Job Description
- Junior/Mid Data Engineer - Exciting Opportunity in Burgess Hill Are you passionate about data optimization and analytics? Join My client as a Data Engineer, where you'll design and maintain data pipelines, enhance data quality, and drive business insights. This role involves working with cross-functional teams to automate processes, support data science initiatives, and contribute to digital transformation projects. If you're skilled in SQL, Azure Data Factory, big data tools, and scripting languages like Python or Java, this is your chance to make an impact in a dynamic environment. Occasional global travel may be required. Apply now and shape the future of data! Strong SQL knowledge and experience with relational and NoSQL databases. Proficiency in building and optimizing data pipelines and architectures. Experience with data pipeline/workflow management tools. Expertise in big data tools such as Hadoop, Spark, and Kafka. Proficiency in object-oriented or functional scripting languages: Python, Java, C++, Scala, etc. Experience with Azure Data Factory. Skilled in root cause analysis of data and processes. Ability to build processes supporting data transformation, data structures, metadata, and dependency management. Excellent project management and organizational skills. Familiarity with Microsoft Office, particularly Excel; Power BI is a plus. Basic knowledge of Machine Learning and SAP is advantageous. Please feel free to apply!
Burgess Hill, United Kingdom
On site
Full Time
26-11-2024
- Company Name
- WALT Labs
- Job Title
- Data Analyst
- Job Description
- Company Description WALT Labs, a leading managed service provider, is dedicated to empowering businesses by harnessing the power of cloud technology. Our team specializes in delivering customized solutions tailored to meet the unique needs of our clients, driving growth and operational efficiency across industries. From supporting small businesses with seamless data migration to enabling large corporations to manage complex infrastructure projects, we provide exceptional service while staying at the forefront of cloud technology advancements. Role Description This is a full-time on-site role 3 days a week minimum, for a Data Analyst at WALT Labs in London Kings Cross. The Data Analyst will be responsible for day-to-day tasks such as data analytics, data modeling, and utilizing statistical methods to drive business insights in Looker Studio and Looker Core. Effective communication skills will play a key role in collaborating with cross-functional teams. Qualifications Analytical Skills, Data Analytics, and Data Modeling abilities Proficiency in Statistics Experience using Looker Studio at minimum Strong Communication skills Bachelor's degree in a related field (e.g., Statistics, Data Analytics, Computer Science) Experience in data analysis tools (e.g., SQL, Python, R) Ability to work effectively in a team environment Responsibilities Collect, clean, and optimize datasets in BigQuery or other SQL databases for analysis and reporting. Use SQL to query large datasets and uncover trends that support business decisions. Design, build, and maintain Looker dashboards, including custom LookML models. Optimize queries and visualizations for cost efficiency and performance improvement. Collaborate with cross-functional teams to gather reporting requirements and present actionable insights. Ensure data privacy, security, and compliance with governance policies. Troubleshoot and resolve data discrepancies and support Looker or SQL database-related issues. Monitor and automate reporting for business-critical KPIs. Stay updated on best practices and recommend process improvements for data analysis and visualization. This role combines technical skills in SQL and Looker with strategic analysis to drive data-driven decisions. Salary Between £30,000 - £45,000 depending on experience Benefits 20 holiday days + bank holidays (earn 1.5 days every 3 years) Private health insurance
London, United Kingdom
On site
Full Time
26-11-2024
- Company Name
- Michael Page Technology
- Job Title
- Analytics Engineering Manager
- Job Description
- As an Analytics Engineering Manager, you'll lead a team of 3, oversee data models, and drive data initiatives using SQL, dbt, and Snowflake. This London-based, hybrid role offers a competitive salary of £100-120k, bonus, and stock options at an award-winning fintech. Client Details This innovative fintech is reshaping the Embedded finance space, partnering with some of the biggest names in E-commerce, payments, and technology to deliver cutting-edge funding solutions for businesses. Using advanced AI-driven credit risk technology, they empower SMEs to access flexible financing quickly and efficiently. Recognized as one of the Sunday Times' Best Places to Work 2024, they offer a dynamic, collaborative environment where your contributions will drive real impact. DescriptionAs an Analytics Engineering Manager, you will take ownership of the entire suite of data models within the company's data warehouse, playing a critical role in delivering high-quality data products that drive business decisions. You'll lead a team of three Analytics Engineers, work hands-on with tools like SQL, dbt, and Snowflake, and collaborate with stakeholders across the business. This role involves improving data quality and efficiency, developing scalable data solutions, and contributing to the overall vision for data and analytics. It's an exciting opportunity to shape the company's data strategy and make a meaningful impact in a fast-paced, high-growth environment. Profile The ideal candidate will have strong technical expertise and leadership skills to drive impactful data initiatives. You'll have: Technical Proficiency: Advanced skills in SQL and dbt for data transformation and modelling, along with experience working with cloud-based data warehouses, preferably Snowflake. Data Visualization Expertise: Hands-on experience with tools such as Looker, Tableau, or Metabase to create compelling dashboards and effectively communicate insights. Leadership & Mentoring: A proven track record of managing or mentoring analytics or engineering teams, fostering growth and collaboration. Problem-Solving Skills: A knack for innovative solutions to complex data challenges, with a focus on quality and efficiency in data products. Project Management: The ability to structure and lead data initiatives, ensuring timely and successful delivery while maintaining high standards. If you're passionate about data, skilled in the latest tools, and eager to lead in a dynamic, high-growth environment, this is the role for you! Job Offer What's on offer: Salary: £100-120k + bonus + stock options. Hybrid working: 2-3 days a week in their modern Central London office. Excellent benefits, including private medical insurance, a subsidized lunch program, and regular team socials.
London, United Kingdom
On site
Full Time
26-11-2024