Credit Risk - Senior Associate - Bangalore

Line of Service

Advisory

Industry/Sector

Banking and Capital Markets

Specialism

Risk Architecture

Management Level

Senior 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.

Focused on relationships you are building meaningful client connections and learning how to manage and inspire others. Navigating increasingly complex situations you are growing your personal brand deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients and to deliver quality. Embracing increased ambiguity you are comfortable when the path forward isnt clear you ask questions and you use these moments as opportunities to grow.

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

• Respond effectively to the diverse perspectives needs and feelings of others.
• Use a broad range of tools methodologies and techniques to generate new ideas and solve problems.
• Use critical thinking to break down complex concepts.
• Understand the broader objectives of your project or role and how your work fits into the overall strategy.
• Develop a deeper understanding of the business context and how it is changing.
• Use reflection to develop self awareness enhance strengths and address development areas.
• Interpret data to inform insights and recommendations.
• Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance) 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 37 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.
Nonfunctional skill requirements:
In order to succeed in PwC Risk CoE it is desirable for candidates to possess:
Understanding of market trends and demands in the financial services sector and issues faced by clients by staying abreast of current business and industry trends relevant to the clients business
Excellent oral and written communication skills
Solid analytical and problemsolving skills; ability to isolate and solve issues using large amounts of data
Process orientation with strong technical skills and attention to detail
Deep technical capabilities and industry knowledge of financial products
Willingness to travel to meet client needs as needed
Educational Background:
Desired candidate must have a masters degree or higher in a quantitative discipline such as Economics Statistics Mathematics Operation Research Econometrics Data Science Finance Engineering MBA; advanced degree is a plus; Industry relevant certifications in CQF FRM CFA CPA certification is a plus
Additional Requirement for Senior Positions:
Candidates aspirant of senior positions at PwC Risk CoE are expected to possess:
Proven consulting skills to structure vague problems at hand and conceptualizing solutions
Credentials in leading and driving large and or complex risk analytics engagements and initiatives independently
Experience in supporting sales pursuits for risk analytics offerings and solutions
Ability to manage multiple engagements simultaneously along with leading people and initiatives
Strong conceptual understanding of various functional/technical skills
Ability to drive innovation and thought leadership in the risk management domain
Intellectual property patents and exclusive rights on any innovative solution is a plus

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) Analytical Thinking Analytic Research Big Data Business Data Analytics Communication Complex Data Analysis Conducting Research Creativity 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 38 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