Senior SAS Administrator - 12 month contract - £500p/d - SC We are looking for a Senior SAS Administrator to work with us on an initial 12 month basis for a government client project. Due to the nature of the project you will be required to go through a … role will require occasional travel to London). Please see the desired skill-set below: Ability to develop ETL solutions to surface data in SAS Troubleshooting SAS on Cloud functional and data ingestion problems. SAS 9.4 + SAS VIYA We have a huge team in place more »
Engineering. Prior experience in Credit Risk Model Development or Model Validation within the banking or financial industry. Proficiency with Data Analysis tools such as SAS, Python, and MS Suite (Word, Excel, PowerPoint, Project, Visio, and SharePoint). Previous experience in the banking or financial industry with knowledge of capital more »
indicators as well as recommendations to senior leaders Experience in quantitative research or analyses Experience in program/project management Experience working with SPSS, SAS or other statistical software packages Experience utilizing SQL Advanced Excel and Access skills Preferred qualifications Analysis experience in Advanced Planning & Optimization Systems, or Enterprise more »
commercial insurance pricing. Personal lines pricing considered a plus Able to code in Python or similar languages as prior experience with any programming language (SAS, SQL, Big Query or a similar language) is preferred Highly motivated and ability to work off your own initiative Strong communication and interpersonal skills more »
Angular, mobile), Databases (e.g. Postgres, BigQuery), Integration (e.g. API, gRPC, Events), Data processing (e.g. Spark, BQ SQL, or other), Decision Systems (e.g. Power Curve, SAS ID, InRule) Proven ability to deliver in a matrixed organisation, including working collaboratively and resolving conflicts Proven ability to work with ambiguous problems and more »
knowledge of reporting packages (PowerBI, Business Objects etc) and databases (SQL) Knowledge of statistics and experience using statistical packages for analysing datasets (Excel, SPSS, SAS etc) Strong analytical skills with the ability to collect, organise, analyse and disseminate significant amounts of information Exceptional attention to detail and accuracy Solid more »
Some programming skills in a high-level language (e.g., Python, R, MATLAB, Excel VBA) and/or experience with econometric software packages (e.g., STATA, SAS). more »
Translate business needs to technical requirements and implementation. Experience of Big Data technologies/Big Data Analytics. C++, Java, Python, Shell Script R, Matlab, SAS Enterprise Miner Elastic search and understanding of Hadoop ecosystem Experience working with large data sets, experience working with distributed computing tools like Map/ more »
Some programming skills in a high-level language (e.g., Python, R, MATLAB, Excel VBA) and/or experience with econometric software packages (e.g., STATA, SAS). Morgan McKinley is acting as an Employment Agency and references to pay rates are indicative. BY APPLYING FOR THIS ROLE YOU ARE AGREEING more »
designs for multiple customer-facing solutions which will include the whole sales lifecycle through multiple channels. You will work closely with peers (EAs and SAs), in-house development teams and 3rd party suppliers to transform the existing customer-facing platforms. Across the deliverables, re-use of designed and delivered more »
creating loss distributions. Construct correlation frameworks for various asset classes including Corporate, Banks & FI, Sovereign, and Retail. Design portfolio analytics solutions using Python/SAS or similar platforms to facilitate management decisions. Continuously evaluate operational risks inherent in the role, considering economic fluctuations, regulatory requirements, and technological advancements. Play more »
Croydon, England, United Kingdom Hybrid / WFH Options
Hawksworth
particular GLMs Knowledge of relevant machine learning techniques – in particular GBMs Proven experience in working with large data sources Good command of Python, SQL, SAS or similar coding languages Experience of Willis Towers Watson software such as Radar or Emblem Good understanding of the various elements of a Technical more »
retail banking. Presentation of model risk papers for the risk oversite committees. Additional Notes Investment banking quantitative experience is not relevant for this role. SAS model developers willing to move into validation may be considered for other roles. The position will be based in the City London. Please send more »
graphs, MicroServices • You have experience in implementing ETL data flows and data pipelines, and know one or more of the following tools: Informatica PowerCenter, SAS Data Integration Studio, Microsoft SSIS, Ab Initio, etc. • Ideally, you have experience in Hadoop ecosystem (Spark, Kafka, HDFS, Hive, HBase, …), Docker and orchestration platform more »
SAS (primary), pearl, shell scripts (secondary) engineers who has experience to convert to Python , DBT based pipelines and load data to Snowflake. Converting SAS based module to python based Candidates who have data management experience in Snowflake with expertise in Python, DBT , Airflow or similar technologies DBT , Snowflake more »
developer or software engineer within a systematic trading environment. Understanding of equity markets, volatility modeling, and derivative instruments. Strong Programming skills e.g. R, Python, SAS, SQL or other languages Plus: Experience using applied ML/Deep Learning packages more »
will collaborate with them to ensure that the development and analysis roadmap of your team reflects their requirements. Your team will mainly be using SAS and PowerBI, in combination with data pipeline development and analysis on the Azure cloud, using Databricks. The coding language used is Python. An earlier more »
a model to help predict future outcomes. Requirements : A Computer Science/Programming Degree. Background of using data analysis tools and software (e.g., SQL, SAS, Python and R). SQL – Advanced Proficiency Experienced in Machine Learning and predictive modelling. Background working with consultancy services. Highly experienced with MS Azure more »
of how to execute Data Governance projects within a banking environment. This would likely include experience with technologies such as SQL and Python/SAS/R, as well as tools such as Collibra, IGC etc. This person will ideally have a mixture of both consultancy and industry experience more »
cycle models in addition to Basel and PRA compliant IRB models and audit approved IFRS 9 models. So, if you have experience in: Strong SAS & SQL coding skills Advanced mathematical, modelling and quantitative analysis Previous experience of model building or validation, quantitative analysis and data manipulation Experience working effectively more »
and data structures. Identify opportunities for increasing performance, minimising costs and increase platform monitoring. Background of using data analysis tools and software (e.g., SQL, SAS, Python and R). Experience with components such as Azure Active Directory, Management Groups, Subscriptions, vNets, Route Tables, NSG's and Azure Firewalls. Ensuring more »
and critical problem-solving approach Dedicated to producing outcomes that consistently meet or exceed stringent quality benchmarks Proficiency in data processing languages such as SAS, SQL, or Python SALARY AND BENEFITS 27 days holiday, plus bank holidays Annual bonus Pension contributions Flexible benefit allowance And more HOW TO APPLY more »
to support business growth and revenue targets • Marketing cloud knowledge with technologies like DMP platform (Krux, BlueKai etc.) and Ad Server technologies like (OpenX, SAS Ad Server, Adobe T&T etc.) • Knowledge of various DMP data segments and providers that are available in Digital Marketing Platform specific to UK more »
programming languages (e.g., XML, JavaScript, or ETL frameworks). Knowledge of statistics and proficiency in statistical packages for analysing large datasets (e.g., Excel, SPSS, SAS). Strong analytical skills, capable of collecting, organising, analysing, and disseminating substantial amounts of information with precision and attention to detail. Proficient in queries more »
