Buzzworks business services

Job Title: Sanctions Screening Analyst

Location: Bangalore, Kolkata (Only candidates currently based in Bangalore and Kolkata will be considered)

Experience: 3 to 5 Years

Work Model: Work from Office – EGL, Bangalore (5 days a week)

Shift Timing: General Shift (11:00 AM – 8:00 PM; flexibility for rotational shifts is required)

Project Start Date: 1st Week of June.

Job Description :

PwC is one of the world’s largest professional services networks, offering services in audit and assurance, consulting, and tax advisory. With a global presence in over 150 countries and a workforce of more than 300,000 people, PwC helps organizations solve complex business challenges and improve performance across various domains.

In India, PwC India operates as part of the PwC global network, serving clients across industries such as financial services, technology, healthcare, energy, and manufacturing. The firm is known for its deep industry insights, innovation-driven solutions, and strong focus on ESG (Environmental, Social, and Governance) and digital transformation initiatives.

PwC's commitment to "Building trust in society and solving important problems" drives its business practices worldwide.

Key Responsibilities:

• Conduct sanctions screening of transactions and client records.
• Adjudicate alerts accurately as matches or false positives in compliance with internal procedures.
• Ensure appropriate handling of OFAC and other international sanctions list alerts.
• Document findings clearly and communicate with internal teams for resolution.
• Maintain high levels of accuracy and data integrity in case documentation and decisions.

Mandatory Skills:

• Minimum 3 years of experience in Sanctions Screening.
• Strong knowledge in alert adjudication, including handling matches and false positives.
• Familiarity with OFAC and other major global sanctions lists.
• Excellent communication skills and strong attention to detail.
• Willingness to work in rotational shifts as needed.

Job Description

Position: Senior Machine Learning Engineer (AWS / GCP)

Work Location: Bengaluru / Pune

Mode: Work from office

Experience : 6-8 years

Responsibilities:

 Experience in Building and Deploying Productionized Gen AI Solutions

 Hands-on experience working with AI Agents

 Analyze and evaluate ML algorithms to solve specific problems, ranking them by

success probability.

 Explore, analyze, and visualize data to gain insights and understand its structure.

 Ensure data quality across various datasets and oversee the data acquisition process

when necessary.

 Define model validation strategies and develop preprocessing or feature engineering

workflows.

 Design and implement data augmentation pipelines.

 Train models, tune hyperparameters, and analyze model errors to devise solutions.

 Establish and manage A/B testing setups.

 Deploy and maintain MLOps pipelines, ensuring their smooth operation.

 Technical Expertise:

 Hands-on experience with machine learning frameworks like TensorFlow, PyTorch,

Keras, and Caffe.

 Proficiency in developing supervised machine learning algorithms and deep learning

models such as CNN, RNN, LSTM, BERT, NLU, and YOLO.

 Familiarity with cloud platforms, specifically AWS and GCP, and tools like SageMaker

and Vertex AI.

 Experience in data wrangling and PySpark, with a working knowledge of EMR and

Glue.

 Strong Python development skills and experience working in Linux environments.

 Experience containerizing applications using Docker.

 Proficiency in SQL and at least one NoSQL data store such as Elasticsearch, MongoDB,

Cassandra, or HBase.

 Experience with branch-based deployments.

Preferred Skills:

 6-8 years’ experience in Machine Learning

 Knowledge of Langchain for building language models and vector databases.

 Familiarity with embeddings and their applications in ML models.

 Understanding of MLFlow and Kubeflow for managing the ML lifecycle.

 Consulting experience

 Experience optimizing performance across multiple GPUs.

Job Overview

Positional Requirement/Responsibilities

Fraud Investigator responsible for Detecting and investigating financial fraud on behalf of PwC’s clients

Position– Fraud Detection Analyst

Job Summary:

· Analyze financial transactions and account activity to identify unusual activity to identify unusual or suspicious patterns.

· Conducting in-depth investigations into potential fraud cases, which may involve gathering evidence.

· Performing 360 Reviews on the Alert which has been triggered due to violation of threshold set for the systems for Fraud types (i.e.- ATO, PTO, TOA, ID Theft, ATO Scam, First Party Frauds etc.)

· Conduct 360 fraud reviews for the customer’s profiles and responsible for detecting and mitigating core banking, payments, fraud, and account opening red flags. Implemented solutions to fraud problems across ATO’s, P2P Payments, ACH kiting, check kiting, and wire fraud

· Multiple investigations into whistle blower complaints concerning account hijacking, transactional frauds, funds transfer return, checks (RDC, Thea) or ACH transactions that provided real time decisions on credit card, loan, and Zelle fraud red flags

· Combined retroactive analysis with current state fraud control assessments to implement technology and process framework that provided real time decisions on fraud strategy and overall fraud assessment

· Liaison with internal and external counterparts to perform end-to-end alert reviews (360 review) from fraud alert generation through to SAR filing.

· Analyze data trends and out of pattern activities to assimilate the next course of action (Case closure, Reimbursements, or escalation)

· Adjudicate the fraud type and apply relevant mitigation steps basis policies and procedures

Qualifications:

· Prior experience in Fraud detection and investigations

· Transaction Monitoring experience is preferred

· Familiarity with the firm's internal systems and processes or similar processes at other institutions

 Exceptional research and analytical skills with the ability to analyze large amounts of data, decipher higher risk attributes (transactional, geographical, product, customer type, etc.) and develop well-reasoned recommendations

· Proficient in MS Office (Outlook/Word/Excel/PowerPoint)

· Maintaining detailed records of fraud cases and investigation outcomes.

· Ensuring compliance with relevant laws and regulations related to fraud detection and prevention.

Desired Educational Qualification

· Bachelor’s Degree in Commerce, Computer Science or equivalent is preferred.

Preferred Educational Qualification

· Full-time master’s degree/MBA

Desired Certifications:

· CFE

· CAMS

· CRP

Location - HYD/ BLR