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Risk Analytics Vice President

AlixPartners, LLP

City of Westminster

Hybrid

GBP 80,000 - 120,000

Full time

Yesterday
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Job summary

A global consultancy firm based in London is looking for a Vice President to join their Risk Analytics team. This role involves analyzing complex data environments, automating data processes, and supporting high-stakes legal cases. The ideal candidate will have significant experience in forensic investigations, strong analytical skills, and proficiency in data visualization tools like Tableau and Power BI. A commitment to client engagement and leadership in a hybrid working environment is essential. Travel is a requirement of the job.

Benefits

Flexible work arrangements
Inclusive company culture
Opportunities for travel

Qualifications

  • 3-5 years of relevant experience in IT, programming, or data analytics.
  • Enjoys complex and high-profile forensic investigations.
  • Willingness to work outside normal business hours.

Responsibilities

  • Understand and analyze the client's IT estate and relevant data systems.
  • Turn big data into accessible analysis and charts.
  • Develop and manage data models to solve business problems.

Skills

Data visualization tools
Databricks SQL
Python or other scripting languages
Forensic investigations
Business acumen
Excellent communication skills

Education

Undergraduate degree in mathematics, physics, computer science, engineering or other quantitative subject
Postgraduate degree in a quantitative subject

Tools

Tableau
Power BI
Job description
Overview

An opportunity has become available for a Vice President to join our Risk Analytics team in London. The Risk Analytics team specializes in providing expert support to our clients, and their external legal counsel, when they face critical legal and regulatory challenges, whether that be a big-ticket litigation or high-stakes investigation by a national regulator. The work we do will form the basis of reports and advocacy to the Courts and Regulators, and therefore we apply a forensic standard, where attention to detail, creative thinking, and the ability to identify and challenge assumptions is of paramount importance. You will regularly work with teams of lawyers from top-tier international law firms and will be responsible for helping them understand and navigate the client's often complex technology and data landscape. We are looking for intelligent, pragmatic and results-focused individuals who can operate on a wide range of local and international engagements.

Responsibilities
  • Understand the client's IT estate (both current and legacy) to understand how this functioned and identify relevant data from these systems that needs to be analysed.
  • Analyse systems, data flows and algorithms to understand potential issues with these.
  • Extract and analyse big data structured datasets from systems, turning huge volumes of data into easy-to-understand analysis and charts.
  • Use technology and advanced data analytics to automate the rectification of business issues, avoiding the cost of manual processes.
  • The work we do will form the basis of reports and advocacy to the Courts and Regulators, applying a forensic standard requiring attention to detail, creative thinking, and challenge of assumptions.
  • You will regularly work with teams of lawyers from top-tier international law firms and will help them understand and navigate the client's complex technology and data landscape.
  • You will work with complex data sets (financial, operational and otherwise) leading the production of fundamental results to be used by testifying experts, barristers, lawyers and senior stakeholders in courts and in front of regulators.
  • You will be involved in the design, build and management of data models to solve complex business problems and will work directly with colleagues and clients to leverage true value from these data models.
  • You will challenge data quality and completeness, the assumptions we make in developing our analysis and develop technical documentation which supports our conclusions.
  • You will not only develop and build key tools for client delivery but will interface and liaise directly with our client and consultant group, demonstrating your expertise and mastery of the data. You and your stakeholder management are part of the solution.
  • This description is not designed to encompass a comprehensive listing of required activities, duties or responsibilities.

Note: Travel is part of this position; frequency may vary based on client, team, and individual circumstances.

Qualifications
  • An undergraduate degree in mathematics, physics, computer science, engineering or other quantitative subject;
  • A postgraduate degree in a quantitative subject;
  • 3-5 years of relevant experience working in a professional business environment such as another consultancy with experience in IT, programming, data analytics, or similar.
  • Enjoy the challenge of forensic investigations and high-profile disputes. Proficiency in Databricks SQL and Python (or other scripting languages) and data visualization tools such as Tableau or Power BI.
  • Ability to develop sophisticated and innovative solutions tailored to clients' needs, with awareness of recent technological developments including artificial intelligence techniques.
  • Business acumen, client-facing ability, and capability to deliver with appropriate oversight.
  • Excellent written and verbal communication skills in English; additional languages are an asset.
  • Willingness to work outside normal business hours and to work in a hybrid office/remote environment.
Company and Culture

At AlixPartners, we solve complex challenges by moving quickly from analysis to action, creating value that has a lasting impact. We promote an inclusive environment and value diversity. We support flexible work arrangements through a hybrid model (in-person and remote). Travel is part of this role.

Must become familiar with, and promote and abide by, our Core Values as defined by the AlixPartners' Code of Conduct and foster an inclusive environment at all levels of the organization.

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