Line of Service

Advisory

Industry/Sector

Banking and Capital Markets

Specialism

Risk Architecture

Management Level

Associate

Job Description & Summary

At PwC our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals.

In data analysis at PwC you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive datadriven decisionmaking. You will leverage skills in data manipulation visualisation and statistical modelling to support clients in solving complex business problems.

Driven by curiosity you are a reliable contributing member of a team. In our fastpaced environment you are expected to adapt to working with a variety of clients and team members each presenting varying challenges and scope. Every experience is an opportunity to learn and grow. You are expected to take ownership and consistently deliver quality work that drives value for our clients and success as a team. As you navigate through the Firm you build a brand for yourself opening doors to more opportunities.

Examples of the skills knowledge and experiences you need to lead and deliver value at this level include but are not limited to:

• Apply a learning mindset and take ownership for your own development.
• Appreciate diverse perspectives needs and feelings of others.
• Adopt habits to sustain high performance and develop your potential.
• Actively listen ask questions to check understanding and clearly express ideas.
• Seek reflect act on and give feedback.
• Gather information from a range of sources to analyse facts and discern patterns.
• Commit to understanding how the business works and building commercial awareness.
• Learn and apply professional and technical standards (e.g. refer to specific PwC tax and audit guidance) uphold the Firms code of conduct and independence requirements.

Fraud/AML Risk Analytics Professional Job Specification:

Candidate would be responsible for developing validating auditing and maintaining AI/ML/NLP models for Fraud/AML/Credit risk. Candidates would be expected to support financial institutions on meeting jurisdictional regulatory requirements and their broader risk management initiatives.

Multiple positions required;

Experience level 23 years of experience; Location: Bangalore

Core Skill Requirements

• Candidate must have relevant experience in Machine Learning/Artificial Intelligence Natural Language Programming Statistical / Mathematical modeling quantitative research Fraud/AML risk management or related Credit Risk field at a reputed bank fintech or a consulting firm. Wider skill requirements include:
• Experience in Machine learning algorithms like Random Forest SVM Neural Network etc. and Artificial Learning use cases such as Natural Language Processing Robotics etc. AML Scenario development enhancement. Initial threshold setting and tuning.
• Proficiency in one or more analytical tools such Python PY Spark Data Science and cloudbased analytics etc.
• Experience in Model Development Model Validation Model Audit (implementation and experience will not be considered directly relevant)
• Business knowledge in transaction monitoring system sanction screening trade surveillance. Supports and/or runs global/regional internal SMEs; responsible for investigating and researching the Financial Crimes processes and tools identifying efficiency and effectiveness opportunities.
• Strengthen AML knowledge Process Governance & Controls. Support Regulatory exams Internal Audit Compliance Assurance test Selfidentified issues / findings. Identify assess actively manage and control the risks that could come from our business operational and organizational decisions.
• Develop and leverage innovative features and algorithms to drive down false positives and identify perceived threat across the firm
• Utilize traditional statistical analytics graph theory / network science ensemble methods and the like Natural language processing text analytics factors analysis / construct development and testing machine learning feature development and engineering etc.
• Prior experience in domains like AML/ Financial Crime analytics and strong knowledge of fraud data analysis and development strategy design and delivery deployment.

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 Algorithm Development Alteryx (Automation Platform) Analytic Research Big Data Business Data Analytics Communication Complex Data Analysis Conducting Research Customer Analysis Customer Needs Analysis Dashboard Creation Data Analysis Data Analysis Software Data Collection DataDriven Insights Data Integration Data Integrity Data Mining Data Modeling Data Pipeline Data Preprocessing Data Quality 33 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