Advisory - Deals - Forensics - Data Analyst - Associate 2 - Kolkata

Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Deal Strategy

Management Level

Associate

Job Description & Summary

A career in our Deals Strategy practice, within Deals Transaction Services, will provide you the opportunity to help organisations realise the potential of mergers, acquisitions and divestitures and capital markets. In short, we help some of the world’s leading companies originate, create, execute, and realise value from deals. Through data driven insights we help our clients move in the right direction ensuring maximum value for their company.

Our team helps companies navigate the accounting and financial reporting challenges of business combinations. As part of the team, you’ll develop roadmaps of the driving economic objectives, determine the appropriate professionals needed, and consider financial reporting implications for deals.

To really stand out and make us fit for the future in a constantly changing world, each and every one of us at PwC needs to be a purpose-led and values-driven leader at every level. To help us achieve this we have the PwC Professional; our global leadership development framework. It gives us a single set of expectations across our lines, geographies and career paths, and provides transparency on the skills we need as individuals to be successful and progress in our careers, now and in the future.

As a Senior Associate, you'll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. PwC Professional skills and responsibilities for this management level include but are not limited to:

• Use feedback and reflection to develop self awareness, personal strengths and address development areas.
• Delegate to others to provide stretch opportunities, coaching them to deliver results.
• Demonstrate critical thinking and the ability to bring order to unstructured problems.
• Use a broad range of tools and techniques to extract insights from current industry or sector trends.
• Review your work and that of others for quality, accuracy and relevance.
• Know how and when to use tools available for a given situation and can explain the reasons for this choice.
• Seek and embrace opportunities which give exposure to different situations, environments and perspectives.
• Use straightforward communication, in a structured way, when influencing and connecting with others.
• Able to read situations and modify behavior to build quality relationships.
• Uphold the firm's code of ethics and business conduct.

Job Description – Data Analyst
Investigative Analytics

In an increasingly digitised world, instances of fraud and electronic crime are becoming more and more common. Investigative Analytics involves the analysis of data to support forensic investigations. Much of our work requires us to analyse vast quantities of data, using cutting edge technology and advanced statistical techniques to extract meaningful insights for our worldwide clients. Because we operate in an environment where speed of response is often
critical to our clients, we are constantly innovating and drawing on the very la est technologies.
Our team helps clients navigate various analytics applications to get the most value out of their technology investment and foster confidence in their business intelligence. As part of our team, you'll help our clients implement enterprise content and data management applications that improve operational effectiveness and provide impactful data analytics and insights.
The very nature of what we do means that many of our clients have an international reach, and no two jobs, or indeed days, are the same. So, if you are naturally inquisitive, have an analytical mind and enjoy solving problems in a rigorous and methodological manner, we’d be interested in talking to you.
Your responsibilities will include but may not be limited to:
● Demonstrate aptitude for conducting quantitative and qualitative analyses of large and complex data as it relates to the project requirements;
● Write Python / R code to create, tune and validate models.
● Utilise SQL code for data interrogation and investigations;
● Consult with clients on business issues, explaining complex technical concepts to non-technical stakeholders.
● Develop novel visualisations and explanations to effectively demonstrate work.
● Exhibit excellent communication skills by accurately interpreting client bus ness needs into technical requirements, performing necessary analyses, and translating findings into actionable business insights.
● Research new products, tools and techniques to assist with advancing our machine learning and data science capability.
Requirements
To be considered you must be able to demonstrate experience working in a data analysis/ data science role, covering multiple of the following disciplines:
● Data transformation and modelling (e.g. pandas and scikit-learn in Python);
● Data storage and querying (e.g. SQL);
● Understanding of common data quality issues and they effect they have on machine learning models;
● Data cleansing and manipulation for machine learning (e.g. feature engineering);

● Data Visualization (e.g PowerBi, Tableau)
● Experience with financial / general ledger data;
● Knowledge of the current data science software platforms.

To be successful in this role you will need to demonstrate the following:
● The ability to devise creative solutions to complex problems;
● Exceptional analytical and technical aptitude;
● Meticulous attention to detail;
● Strong time management skills, including the ability to prioritise tasks and work under tight deadlines;
● The capability to work independently with minimal supervision, while integrating well into teams;
● Strong writing and presentation skills;
● Concise and clear communication when presenting and explaining results and findings.
● Possess a deep understanding of machine learning concepts, with a particular focus on supervised, unsupervised, and reinforcement learning.
● Optimise code and infrastructure to enhance machine learning performance.

Outstanding potential takes many forms and academic success is just one measure. That's why we have our 'Outstanding Achievement' entry route - it's an innovative way we're able to support applications from people who may not have met the academic requirements we're looking for, but have excelled in something else.
 

Education (if blank, degree and/or field of study not specified)

Degrees/Field of Study required:

Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, Business Administration, Carve-Outs, Change Management, Communication, Contract Negotiation, Cost Efficiency, Cost Reduction, Emotional Regulation, Empathy, Enhanced Due Diligence, HR Due Diligence, Inclusion, Initial Public Offering (IPO), Intellectual Curiosity, M&A Strategy, Market Research, Operational Advice, Operational Performance Management (OPM), Operations Strategy, Optimism, Post-Merger Integration, Private Equity {+ 9 more}

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Not Specified

Available for Work Visa Sponsorship?

No

Government Clearance Required?

No

Job Posting End Date