Lead Analyst - Financial Modelling Python

Lead Analyst – Financial Modelling (Python)
£642.16 p/d Umbrella
Birmingham/Chester/Leeds/Sheffield – 3 days p/w in the office
6-month contract
If you’re looking for a career that will help you stand out, and fulfil your potential. Whether you want a career that could take you to the top, or simply take you in an exciting new direction, offers opportunities, support and rewards that will take you further. We are currently seeking an experienced individual to join this team in the role of Lead Analyst (Financial Modelling (Python)).   
Key Responsibilities include:
· Deliver a number of complex analytics projects within a team, ensuring results are timely and accurate, supporting junior team members and offshore analysts as required.
· Contribute to the project plan by maintaining a record of time spent, raising issues and slippage appropriately, keeping stakeholders and project manager informed on a regular basis.
· Prioritise planned projects and tasks, whilst effectively managing and challenging requests for unplanned or ad-hoc work.
· Be accountable for the integrity and accuracy of delivered results.
·Positively contribute to the vision and strategy of the department, working with the management group and being a role model for junior analysts.
· Develop and maintain a productive relationship with the offshore analytics teams.
·Takes a lead in briefings for team members/ stakeholders on progress of work, sharing knowledge, successes and opportunities
· Communicates confidently with junior team members, stakeholders and peers
· Identifies solutions to emerging risk issues, changing priorities, project completion issues and areas of conflict,
· Challenges established policy and procedures, where appropriate and suggests alternatives. Maintaining compliance with regulatory and documentary requirements
· Draws, formulates & communicates conclusions from own work, recommending further actions, where required
Skills & Experience:
KNOWLEDGE
Knowledge and experience of the major product suites in RBWM and / or CMB, especially the credit products.
Comprehensive knowledge of how statistical models and data driven business rules are applied effectively to credit portfolios.
Detailed knowledge of targets, key metrics and drivers/levers for the portfolios against which their work is undertaken.
In depth knowledge and experience of building statistical tools and application of analytic methodologies for the CMB and / or RBWM businesses.
Understanding of the banking process from acquisition to account management to collections or attrition.
A thorough understanding of risk and the drivers of capital and funding in the business.
Detailed understanding of business policy and processes.
A good knowledge of application processing, data warehousing and external credit bureau functioning.  
EXPERIENCE
Financial Modelling Background is essential
SAS and Python experience is essential
Proven track record of delivering complex projects within a team, delivering results on time and on budget and managing own time effectively.
Experience in contributing to the plans of a number of major analytic projects across RBWM and / or CMB businesses.
Use of sophisticated analytic techniques across a number of business functions, supported by ‘best in class’ analytic and data environments
Proven track record in working with business and IT to develop and deliver strategic change programs
Experience in developing profitable analytic solutions to business / credit problems using credit assessment / management methodologies.
 Directly relevant experience of working in an analytical role within financial services or an alternative data-driven organisation.  
SKILLS
Excellent quantitative analysis skills. Quantitative, numerate or financial degree.
Highly developed analytical skills to extract information from data and translate to business language and financial impacts.
Excellent communication skills and cultural awareness.
SQL/SAS programming. Capable of writing complex macros, data extraction queries, producing structured analysis datasets and performing statistical analyses and tests against the data. Ability to manipulate output to business-friendly reports.
Ability to present complex statistical concepts and results in a way tailored to the audience in a persuasive and compelling way.
Ability to work with individuals across different geographical sites.