gra data systems analyst in cambridge

posted
job type
permanent
salary
£ 50,000 per year
apply now

job details

posted
location
cambridge, east of england
job category
financial services
job type
permanent
working hours
Full-Time
salary
£ 50,000 per year
reference number
MJ66074
apply now

job description

Do you want to work for a global bank with universal coverage in banking, assets and market capitalisation? Do you have strong interpersonal and management skills? Do you have a proven track record of Data Analytics in Financial Services?

BENEFITS

Prestigious globally-respected employer
Opportunity to provide leadership
Generous company pension scheme & performance bonus opportunities

ROLE SUMMARY

To be a highly-effective and valuable member of a growing function that performs quantitative and qualitative analytics across a broad range of information/data sets of varying reliability, in order to identify risk intelligence and inform risk decision-making.
Supporting the development and maintenance of models and methodologies for risk management. The core objectives are:
Development of an efficient, sustainable process to provide data required for risk model development and on-going validation
To work with project leaders in the review and improvement of the existing suite of models and methodologies,
To participate in projects aimed at aligning methodologies, governance and policies around the Group, and
The role also supports the development a risk and control framework, contributing to the definition and maintenance of appropriate governance, policies, methods, standards and processes around the development of models.
The role will also support interactions and dealings with the internal control functions and external regulatory bodies in relation to risk models.

Please note that our client can ONLY consider applicants who do not require sponsorship in order to work in the UK.

KEY ACCOUNTABILITIES

Appropriately calibrated and applied risk models helps ensure that risk is more accurately quantified and allocated. This in turn leads to more appropriate risk-return analysis for the business.
Enhanced data processes to allow more efficient model validation and development
Lead identification of data sources and obtain appropriate access
Perform data extraction, aggregation, analysis, and quality checking from multiple data sources using platforms such as SQL, SAS, Hive, Python, etc
Performing ad hoc ETL processes using different tools such as Pentaho, SAS DI etc;
The application of statistical analysis techniques (significance, variance, correlations, decision trees/regression etc.) within analytic programming languages (e.g. Base SAS, Hive, Beeline etc.), hadoop interface tools and visualization tools;
The role holder will lead analysis on individual projects and drive their implementation
Engage with statistician teams during the formulation, implementation, testing and validation of predictive models

Operational Effectiveness & Control

Identification of gaps in risk models and approaches to mitigate
Communicate effectively to different audiences, including both business and technical parties
Work with related projects for development of efficient implementation solutions
Share best practice learning with wider team and seek continuous improvement opportunities

Role Dimensions

The role is central to the development of a strong global analytics function and is significantly more complex than basic Excel and light touch statistics, which is broadly used in the non-technical analytical community. The role holder should be able to draw logical conclusions from the data, provide valuable insight to the team and compile the data into a form that is understandable to non-data analysts and senior business stakeholders.
The role involves working with different specialised applications to pull data from databases and other sources and use the software to identify patterns and trends in the information. This information will feature in risk intelligence deliverables for senior Bank stakeholders.
The role will include presenting data in charts, graphs, tables, designing and developing relational databases for collecting data across the Bank and building or designing data input or data collection screens.


Functional Skills Required

University degree in computer science, financial crime or related fields
Proven and progressive experience in financial services data analysis and/or application development;
4/5 years experience in the financial services industry
Excellent communicator with strong inter-personal and influencing skills
Lateral thinker with an ability to interpret and solve complex issues
Experience of dealing with regulatory matters and confident interaction with Regulators
Ability to develop practical, cost effective solutions to complex global issues
Experience across a range of analytical tools (Hadoop, Beeline, Hive, Excel (VBA, Pivot Tables), Tableau, Pentaho, Python, Qlikview, etc)
Strong ability to quickly grasp and understand business unit specific risks, develop comprehensive user requirements, and provide recommendations for appropriate automated solutions to mitigate those risks

WHAT NEXT?

APPLY now. Alternatively contact Priya Pancholi on 020 7786 6948 for more information.

We are seeking to arrange interviews ASAP, so please don't delay!

Randstad Financial Services encourage applications from individuals of all ages & backgrounds. Appointment will be made on merit alone but candidates must be able to demonstrate their ability to work in the UK. Randstad Financial Services acts as an employment agency for permanent recruitment & an employment business for temporary recruitment as defined by the Conduct of Employment Agencies & Employment Business Regulations 2003

Randstad Business Support is acting as an Employment Agency in relation to this vacancy.

skills

credit analyst,quant developer,sas

qualification

a levels

educational requirements

university