Associate, Data Analytics

Associate, Data Analytics

Alvarez & Marsal

London

Privately-held since 1983, A&M is a leading global professional services firm that delivers performance improvement, turnaround management and business advisory services to organizations seeking to transform operations, catapult growth and accelerate results through decisive action. Our senior professionals are experienced operators, world-class consultants and industry veterans who draw upon the firm's restructuring heritage to help leaders turn change into a strategic business asset, manage risk and unlock value at every stage.

When action matters, find us at www.alvarezandmarsal.com.

The opportunity

Establishing a presence in Europe over 15 years ago, the European business now has some 800 staff in a broad range of professional services including: Performance Improvement, Financial Institutions Advisory, Tax and Disputes and Investigation Services.

As a firm we are experiencing unprecedented growth and demand for our services and as a result we are expanding our high profile Data Analytics team with the recruitment of an experienced Associate.

The successful candidate will have the opportunity to work with all of our practice areas including Private Equity Performance Improvement, Corporate Transformation, Disputes & Investigations, Financial Services Advisory in addition to others. 

The Data Analytics team work across a wide range of different sectors and they have an international focus and culture.  The problems that they solve for our clients are complex and require solutions that utilise descriptive, predictive, prescriptive analytics.  

Overview of the role

• The candidate will work with large datasets, helping our advisory teams draw insights through a range of data-driven solutions such as financial modelling, time series analysis, KPI and management reporting. The candidate will be using a range of tools such as SAS, R, Python or SQL to interrogate and understand the data.
• The candidate will help improve efficiency in processing large quantity of data and enables a data-driven approach to help our clients solve problems
• Opportunities to apply predictive analytics, statistical modelling and machine learning/deep learning techniques such as GLM, Regression, ARIMA, clustering, decision trees, Markov chain, Optimization/Operational Research, autonomous agents, Network Analysis, etc.
• The candidate will use data visualisation tools such as Tableau, Power BI, or Qlikview to present findings in dashboards to internal teams and clients
• Apply the value of data analytics to various external and internal projects

The successful candidate will posess;

• Clear determination to deliver the latest thinking in Data Analytics within a highly competitive advisory marketplace
• Excellent interpersonal skills, verbal and written communication skills when working with both business and technical teams
• Strong business change agent with a reputation for transforming organisations to drive profit and growth
• Experience of managing multiple stakeholders including ‘C’ level executives for the delivery of innovative agendas
• A Bachelor’s degree from an accredited university is essential. Fluency in one or more European languages is highly desirable.

The successful individual will have an excellent academic track record coupled with an entrepreneurial approach and proven track record in data analytics at a leading Advisory firm. The Manager will reflect the operational distinctiveness that is A&M; a business savvy, outcome focused business entrepreneur who is driven to making an impact, determined to make a difference and not afraid to challenge the status-quo.

Specifically, the successful candidate will have:

• Experience querying and analysing data using any of the common data analytical tools e.g. SQL, SAS, Python, Microsoft Access, or ACL
• Experience automating processes using VBA or other tools
• Experience in machine learning, statistical modelling desirable
• Proven ability to work in teams and create measurable and identifiable improvements
• Excellent attention to detail and ability to work to tight deadlines
• Fast learner, eager to learn new technologies.
• Excellent written and verbal communications skills
• A very strong academic record including:
  • Robust analytical rigour
  • Capacity to thrive in a fast-paced, challenging and uncertain environment
• Autonomous – Alvarez & Marsal has a flat structure with a self-sufficient culture
• Flexibility to travel approximately 20-40% of the time

Project Examples and Responsibilities

• Apply predictive analytics models and develop forecast algorithms
• Develop business intelligence / KPI dashboards for management reporting
• Analyze sales, marketing and financial business data across industries to identify opportunities for cost reduction and sales maximization
• Extract and analyze financial transactional data (e.g. loans, assets, trades, etc) to perform data quality assessment and perform loan exposure stress testing
• Interrogation of AR/AP/inventory data to drive cost savings and inform business decisions
• Extract and interrogate sales and accounting data to perform compliance reviews and identify evidences of fraud, corruption and other anomalies
• Perform anti-money laundering investigations and compliance reviews

Voluntary Inclusion

It is Alvarez & Marsal’s policy to provide and promote equal opportunity in employment, compensation, and other terms and conditions of employment without discrimination because of race, color, sex, sexual orientation, family medical history or genetic information, political affiliation, military service, pregnancy, marital status, family status, religion, national origin, age or disability or any other non-merit based factor in accordance with all applicable laws and regulations.

Unsolicited Resumes from Third-Party Recruiters

Please note that as per A&M policy, we do not accept unsolicited resumes from third-party recruiters unless such recruiters were engaged to provide candidates for a specified opening. Any employment agency, person or entity that submits an unsolicited resume does so with the understanding that A&M will have the right to hire that applicant at its discretion without any fee owed to the submitting employment agency, person or entity.