New Business & Enterprise Risk Systems Data Analyst (BJ-12854)

The Opportunity

Primary Objectives:

• Supporting the global NB&ER Teams with analysis, development of risk reporting and process improvements. This includes enhancing internal reporting capabilities and ensuring NB&ER can efficiently respond to external requests from regulators across the network.

Key Internal Relationships:

• Chief New Business and Enterprise Risk Officer
• Director of New Business Intake
• Head of Enterprise Risk and Assurance
• New Business & Enterprise Risk Systems Manager

Primary Responsibilities:

The Risk Systems Data Analyst will produce key client and matter data and analysis to help the senior NB&ER management team to both manage the business and to meet the increasing regulatory reporting requirements globally.

Key responsibilities

• Working closely with the NB&ER management team to:
• Understand the New Business function and the risks involved around taking on new clients and matters through our data.
• Produce analysis and key insights to help manage the new business risk in the global business.
• Production of compliance and regulatory reports required by both internal and external clients and regulatory bodies.
• Maintain and create new dashboards to track metrics and visualise insights.
• Building and maintaining a suite of reports (Excel/SQL/PowerBI) for use in regular weekly and monthly reporting.
• Working closely with the Financial Crime Team to help with the reports required to manage the new client workflow and compliance with internal targets for client identification.
• Further enhance the current approach to data integrity and assist with ongoing manual data cleansing where required.
• Work with relevant teams to agree any changes to procedures to ensure data is maintained correctly going forwards and agree Data Entry Standards.
• Provide analytical support for new business initiatives.
• Help to identify process efficiencies through analytics.
• Supporting annual reviews of third-party software to assess suppliers who can enhance the processes delivered by the NB&ER teams and ensure they are still fit for purpose.
• Assist in the continuous review of new technologies that could improve the efficiency of processes across NB&ER, with a focus on Generative AI.

Qualifications, Skills and Experience:

• Ideally educated to degree level in Mathematics/ Statistics/ Computer Sciences or similar.
• Data Analysis Experience:
• At least 1-2 years previous data analysis experience ideally within a law firm.

Technical Skills:

• Expert user of Excel with experience of building and using own sophisticated spreadsheets with pivot tables and macros.
• A good working knowledge of all other Microsoft packages (Word, PowerPoint, Outlook) is essential for the role.
• Ideally knowledge of SQL and Power BI.

Other Skills:

• Good commercial awareness.
• Ability to prioritise workload.
• Excellent attention to detail and accuracy.
• Ability to work autonomously and prioritise multiple tasks simultaneously.
• Excellent verbal, written and face to face communication skills.
• Ability to work well under pressure and to deadlines.
  

Team

General Counsel and Risk

Working Pattern

Full time

Location

London

Contract type

Permanent Contract

Diversity & Inclusion

At Herbert Smith Freehills you will be part of a diverse, innovative culture where high performance, client focus and highly engaged people are our differentiator. People at our firm come from a range of backgrounds and bring a wide variety of experiences and perspectives to their work with us. We strive to ensure that our inclusive environment means you feel valued and able to perform at your best by being your authentic self at work. We know that our future success not only depends on being innovative and progressive in the changing legal market but, most importantly, on our people feeling highly engaged in meaningful work.

We understand that you have commitments and personal interests outside of work and we strive to create a working environment based on mutual trust and respect, in which you can perform at your best whilst maintaining sustainable balance across your life.