3 jobs found in Manchester

The Business Intelligence Reporting Analyst is part of a global team based in London, Manchester Dallas, Singapore and Bangalore. The successful candidate will be will be trained on the Markit EDM application and in the informational needs of modern financial institutions.   The role is dynamic and provides an incredible opportunity to build a solid career solving the data management issues of global top tier financial institutions. Role and Responsibilities: Writing SQL queries to pull data from databases for reporting purposes Using SQL Server Reporting Services (SSRS) to create internal and external bespoke reports Creating EDM components and processes to manage data for reporting or display on EDM User Interface Use AWS console to identify infrastructure information and assist with queries Collaborate with internal teams to gather requirements for new reports to provide technical support for implementations Provide monitoring and insight on a monthly basis of managed service change hours spent on client projects for notification/onward billing Monitor global support team key performance indicators and provide insight to regional and global team management Create dashboards both within EDM and third party tools for data visualisation of internal and client statistics Create PowerPoint presentations to be used in management meetings Assists with client on boarding processes within internal systems of the Managed Services team Retain client contractual information and assists with queries regarding managed service change hours and user allocation Update and maintain the Client Management system with the latest information of the client’s system state and allowances Manage and chair weekly client calls and report requests back to the business to ensure smooth flow of communication and support provided Skills and Experience: Candidate should be university degree level educated or equivalent with s trong business acumen An interest in the financial markets would be advantageous A natural, consultative style is essential to build client relationships and meet the evolving demands of a wide and diverse client base  Detail orientated. Excellent oral and written communication skills for effective, appropriate communication with both external clients at all levels and internal EDM teams Team Player and able to interact with product, operations and technical teams in a professional manner Strong time management skills It is the policy of IHS Markit to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, IHS Markit will provide reasonable accommodations for qualified individuals with disabilities. We maintain a drug-free workplace. For candidates in the US, we are a participant in E-Verify (see link below Current Colleagues If you are currently a colleague with IHS Markit please apply internally via Workday.

With the acquisition of OTAS Technologies in 2017 and our continued global evolution, Liquidnet is expanding its technology and quant team to build disruptive new products to further revolutionize trading and investing. Our products are used by the largest investment firms globally, and we are recognised as an industry-leading innovator in big data analytics, AI and machine learning.  We are a dynamic, technology-driven, and highly productive team of quants, developers and product designers. Deep collaboration with our clients and partners is key, and we benefit from great relationships with the most ground-breaking firms in the asset management industry, who help us to constantly push the limits of technology and analytics. We have a track record of hiring amazing people and giving them (industry veterans and recent grads alike) autonomy and responsibility from the start. You’ll have the best tools and resources available to get the job done, and thrive in a collaborative environment where our teams are passionate about building great things. The right candidates will have both a strong mathematical background, and be highly adept technologically. RESPONSIBILITIES Analyse unique proprietary data sets. Create, evaluate, and enhance mathematical models and streaming analytics pipelines. Write production code. Partner globally with other data scientists, quants, developers, product designers, clients and industry leaders to tackle the important problems faced by the world’s largest asset managers. SKILLS Bachelor’s degree in Computer Science, Mathematics or related technical focus. 2+ years of relevant experience OR recent Master’s or PhD grad in Computer Science, Mathematics or related field. Proficiency in a mainstream programming language, such as Python, C/C++, C#, Java, JavaScript, Haskell or similar. A strong foundation in a STEM/numeric discipline. Familiarity with software development practices such as version control (git), test frameworks, code review tools, deployment configuration management, continuous integration. Experience with machine learning libraries/frameworks and methods Excellent communication skills and team orientation

We are seeking a data scientist to aid us in discovering valuable insights hidden in the vast amounts of data we generate daily to help the business make smarter decisions. Your primary focus will be in applying data mining techniques, doing statistical analysis and building high quality machine learning models. In this role, you should be highly analytical with a knack for analysis, math and statistics. Critical thinking, problem-solving skills and a passion for machine-learning and data mining are required. Responsibilities Manage pre-processing of structured and unstructured data. Cleanse, and verify the integrity of data used for analysis. Mine data using state-of-the-art methods. Enrich company’s data with third party sources of information when needed. Enhance data collection procedures to include information that is relevant for building analytical systems. Build predictive, classification, recommendation and anomaly detection models. Develop internal A/B testing procedures. Select appropriate features, build and optimize classifiers using machine learning techniques. Present information using intuitive data visualization techniques. Perform ad-hoc analysis and present results in a clear manner. Propose data driven solutions and strategies to business challenges. Collaborate with technology and product development teams. Skills and Qualifications Minimum 3 years’ overall experience with at least 2 years of experience in data science/machine learning. Excellent understanding of machine learning techniques and algorithms, such as K-NN, Naive Bayes, SVM, Decision Trees, Random forests, Linear Regression, Neural networks etc. Experience with common data science toolkits, such as R, Weka, NumPy, scikit-learn, MatLab, Rapidminer etc. Excellence in at least one of these is a must. Stellar applied statistics skills such as distributions, statistical testing, regression, etc. Some experience with data visualization tools, such as D3.js, GGplot, etc. preferred. Proficiency in using query languages such as SQL, Hive, Pig is preferred. Experience with NoSQL databases, such as MongoDB, Cassandra, HBase is preferred. Experience using business intelligence tools (e.g. Tableau) and data frameworks (e.g. Hadoop) is preferred. Data-driven mindset with good communication skills. Must be a confident self-starter who can completely own the delivery of high value work products. Ability to analyze problems in detail and develop solutions. Must be a self-sufficient, flexible, and motivated team player capable of managing several activities simultaneously. Financial industry experience preferred. Education B.S. in Computer Science, Engineering or other relevant field required. Master’s in Data Science or other quantitative field preferred.