HR India Solutions

Company: PwC India Location: Bangalore Job Type: Full-time Experience Level : 18 to 48 Months Summary: We are seeking skilled AML/KYC Analysts with 1.5-4 years of experience to join our dynamic team in the Financial Crime Compliance. The ideal candidate will be experienced in carrying out KYC process for clients of large multi-national banks; Will be familiar with country specific regulation and be familiar with the tools and databases used in the KYC process to conduct due diligence on clients by gathering and analyzing client information to verify compliance with regulatory requirements. Responsibilities: 1. Conduct client due diligence (CDD) to gather information such as identity verification, source of funds, and beneficial ownership for different entity types like Banks, Trust, Funds, SPV etc. 2. Perform initial checks on client documents and data to ensure completeness and accuracy. 3. Support in conducting research using various databases and sources to verify client information. 4. Conduct in-depth investigations of flagged transactions to identify patterns, trends, and anomalies using the advanced transaction monitoring systems and tools to analyze financial transactions for potential suspicious activities. 5. Review and assess customer account activity to detect and prevent money laundering, fraud, and other illicit financial activities. 6. Conduct sanction screening and adverse media screening of customers using specialized tools and databases and analyze screening results to identify matches with sanctioned individuals, entities, or countries. 7. Maintain accurate documentation for all clients, including KYC profiles and ongoing monitoring records. 8. Conduct reviews for ongoing monitoring of client accounts, including periodic reviews and event driven reviews. 9. Collaborate with internal stakeholders including compliance officers, risk management teams to address KYC-related issues and provide guidance on regulatory requirements. 10. Continuously participate to evaluate and enhance AML and KYC processes and procedures to improve efficiency and strengthen compliance controls. 11. Stay updated on regulatory requirements, industry trends, best practices related to AML, KYC, TM and CFT compliance. Requirements: 1. Bachelor's degree in finance, accounting, business, or related field. 2. 1.5 to 4 years of experience in KYC, TM, AML compliance, or a related role within the banking industry. 3. Strong understanding of financial regulations, including but not limited to FATF, OFAC, Bank Secrecy Act, RBI MD and other global and local Anti-Money Laundering (AML), and Know Your Customer (KYC) guidelines. 4. Experience with conducting on-boarding / periodic / event driven reviews for Institutional clients 5. End to End KYC experience including customer / RM outreach 6. Experience with KYC for complex entities with complex ownership structure, presence in multiple jurisdictions etc. 7. Proficiency in using transaction monitoring tools and software platforms. 8. Effective communication skills, both verbal and written, with the ability to communicate findings and recommendations clearly and concisely. 9. Ability to work independently and collaboratively in a fast-paced environment. Preferred Qualifications: 1. Professional certifications such as Certified Anti-Money Laundering Specialist (CAMS). 2. Experience working with large-scale banking or financial institutions. 3. Familiarity with regulatory requirements specific to the jurisdiction in which the bank operates. Benefits: • Competitive salary • Health insurance • Paid time off and holidays • Professional development opportunities Points to be noted • Ensuring compliance with relevant anti-money laundering (AML) and counter-terrorism financing (CTF) regulations. Remain abreast of with changes in regulations and industry best practices. • Documenting and maintaining records of transaction monitoring activities. • Review of L1/L2 alerts generated by the transaction monitoring system for corporate/individual customers based on pre-defined rules and thresholds by analyzing customer transactions for patterns or activities that deviate from established norms or indicate potential illegal activity. • Assess the risk associated with different customer types and transactions and flag suspicious transactions, such as those potentially related to money laundering, terrorist financing, or other financial crimes. • In depth Analysis of transaction data, including customer information, transaction details, and historical patterns, to assess the risk of suspicious activity. Utilizing transaction monitoring systems and tools to analyze data and identify anomalies. • Identify potential red flags and anomalies that may indicate money laundering, terrorist financing, or other financial crimes. • Escalate potential suspicious activity to senior reviewers or relevant authorities, as per established protocols. • SAR Filing, Prepare reports and summaries of findingsRole & responsibilities Preferred candidate profile

10-12 years of experience in implementing Oracle EBS R12 and Oracle Fusion Finance modules Must have hands-on experience and knowledge in Oracle Finance modules - General Ledger, Accounts Payable, Accounts Receivable, Cash Management and Fixed Assets Should be a CA or an MBA Finance Must have worked in domestic implementation projects - 2 to 3 projects Should have worked in Oracle Implementation in Insurance company in India Must be Chennai based. Should have experience as a project leader or at least as a module / track leader.

Job Title: SAP PS Consultant Job Summary: We are seeking an experienced SAP PS Consultant to join our team. The successful candidate will have expertise in implementing and configuring SAP PS modules, including Project Planning, Project Execution, and Project Accounting. The ideal candidate will have strong analytical skills, excellent project management abilities, and effective communication skills. Key Responsibilities: - Implement and configure SAP PS modules, including Project Planning, Project Execution, and Project Accounting - Analyze business requirements and design solutions to meet client needs - Collaborate with project teams to ensure seamless integration - Develop and maintain project plans, timelines, and deliverables - Provide training and support to end-users - Troubleshoot issues and optimize system performance - Stay up-to-date with SAP releases and best practices Requirements: - 2+ years of experience in SAP PS implementation and management - Strong knowledge of SAP PS modules and configuration - Excellent project management and analytical skills - Effective communication and interpersonal skills - Ability to work in a fast-paced environment and meet deadlines - Bachelor's degree in Computer Science, Project Management, or related field Nice to Have: - Experience with other SAP modules (e.g., HCM, FI) - Certification in SAP PS or similar project management technology - Familiarity with project management best practices (e.g., PMBOK)

*Job Position Title: Senior Assocaite D365 Finance: Competency-MS Dynamics Skill – D365 Technical (LOS), Location-Mumbai Microsoft Dynamics AX Functional: Finance: Roles and Responsibilities The person will be required to carry following responsibilities: - Work on-site with clients to provide high quality advice and deliverables Manage client engagements and ensure that we deliver the best solutions for clients Build existing client relationships and support operations to add to current client portfolio Help prepare client proposals, tenders and reports on an ongoing basis Maintain a ‘best practice’ working environment in terms of compliance, risk, financial management, etc. Work on building and rolling out new value propositions for our clients Provide training to other members of the team as and when required *Mandatory skill sets: Competency/Capability/Experiences Skills Ability to run high intensity workshops to develop business requirements Development of demonstrations to provide solution proof Support development of proposals and statement of work to include drafting estimation of effort/cost Delivered 3-4 large implementations or equivalent Uses creative ways to find solutions Able to identify performance bottlenecks and fix it Is certified on latest product at desired levels Great Team Player Proficient in Delivery methodology (Sure Step Preferable) Can plan and organize delivery of solution 4+ years of relevant work experience Excellent leadership skills Strong communication and interpersonal skills D365 Finance and Operations experience is must. Functional background in Financials (GL, A/P, A/R, Cash & Bank, Budgeting and Fixed Assets). Experience in Trade & Logistics is a plus. Experience with Financial reporting ERP functional design and consulting experience Ability to work with senior stakeholders Record of accomplishment of ERP implementation experience either as team member or team leader.

SAP REFX Implementation. REFX module for real estate management

SAP QM Implementation SAP Quality Management

1. 4-7 years of actuarial experience in Insurance or Consulting Firms in Non-Life domain 2. At least 6 actuarial papers passed from IAI / IFoA as per the new curriculum 3. Prior experience with IFRS 17 / Ind AS 117 preferred 4. Prior experience of working in the India domestic market through insurance or consulting preferred

Job Summary: The (Advanced) Analytics Product Owner is responsible for translating business needs into technical requirements and coordinating cross-functional teams to deliver solutions in CPG environment Key Responsibilities: Scope business needs into technical requirements for implementation teams. Create and manage a backlog of activities using Agile principles. Coordinate among multiple stakeholders, across functions and at all levels. Bridge the gap between business stakeholders, data scientists, and development teams. Guide and challenge business stakeholders to formulate their needs. Requirements: 8-12 years of experience in product ownership or similar role. Strong stakeholder coordination and communication skills. Ability to translate business needs into technical requirements. Experience with Agile management and backlog prioritization. Familiarity with SQL, BI tools, and CPG knowledge. Experience in managing product lifecycles, including enhancements.

Qualified CA or MBA regular from B school 5 days working Gurgaon Experince in overall financial statements -revenue expenses, operating margins, balance sheet, working capital, cash flows. Preparing various financial models/proposals for CAPEX

RCM Implementation Sucessfactors Project

HCM Payroll Implementation

PMGM Implementation

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Employee Central Time Off Implementation

Proficiency in machine learning, AI, and statistical modeling techniques, with a strong track record of developing and deploying successful predictive models in a business setting. Strong proficiency in Python and SQL and experience with data science libraries and tools such as: Spark, scikit-learn, XGBoost, LightGBM etc. Proficiency in Neural Networks is an added advantage. Familiarity with standard software engineering practices and tools including object-oriented programming, test-driven development, CI/CD, git, task orchestration (Airflow) and AWS tooling. Strong understanding of credit risk management, lending practices, and regulatory requirements within the financial industry. Good communication and presentation skills.

Senior Consultant or Manager with 4+ years in credit Card risk management , data analytics , and process automation . Skilled in SQL & T ableau to optimize strategies and enhance efficiency. Credit Card Analytics

Roles and Responsibilities Conduct product analysis using Adobe Analytics, SAS, SQL, Excel, and Campaign Analytics to identify trends and insights. Develop and maintain dashboards to track key performance indicators (KPIs) for products/services. Perform journey mapping to understand customer behavior and optimize marketing strategies accordingly. Collaborate with cross-functional teams to design and implement marketing campaigns that drive business growth.

Senior Quantitative Credit Risk Strategist The Fintech Risk team is responsible for driving risk informed growth for the rapidly expanding line of business. We are seeking a Senior Quantitative Credit Risk Strategist as part of the team. You will work with other analysts, risk managers and leaders to analyze customer characteristics, identify risk differentiators, and recommend underwriting and collections strategies to achieve the risk and return goals. If you have an analytic and data driven mindset, eye for detail and can-do attitude then you are right for this position. About this role (Responsibilities) Analyze data to identify risk drivers and propose mitigation strategies Work with Data Science team to build and test credit, account management and Collection models Set credit strategy and policy to mitigate risk and drive business growth Improve Collection performance by operational, policy and modeling improvements Set underwriting and account management strategy Collaborate with R+D, Product, and Operations on the test and launch of new features and/or products Do you have the right skillset ? (Requirements) 6+ years of experience in retail/consumer/SMB finance in a credit risk or strategy role preferably in Fintech/banks Ability to create risk frameworks, use decision trees and come up with right recommendations and insights Ability and experience in writing credit memos and credit decision and strategy documentation Hands on experience in using data and analytics to drive credit risk strategy is required Experience in A/B testing Masters Degree or higher in a quantitative field (Mathematics/Statistics/Economics/OR/Business) Advanced data analytics skills, including use of SQL, Python/R, Excel and data visualization tools such as Tableau/Hex Familiarity with statistical modeling Ability to influence a cross-functional non-hierarchical environment to lead collaborations and drive progress

This role is ideal for someone with strong expertise in SQL, Python, Hadoop/Oracle and Pyspark , and a solid background in data analysis and wrangling . You will play a key role in building and maintaining analytical solutions that drive insights, especially in the area of fraud detection within card transactions and account opening domains . Key Responsibilities: Develop, maintain, and optimize complex SQL queries to support data extraction and transformation activities. Utilize Python for advanced data processing, automation, and analytical modeling. Build and maintain Tableau dashboards that provide actionable insights to stakeholders. Perform data wrangling and cleansing from various sources to prepare data for analysis. Conduct detailed data analysis to uncover trends, patterns, and potential fraudulent activity. Collaborate with fraud analytics and operations teams to develop and enhance fraud detection frameworks. Document data processes and maintain data integrity across workflows. Contribute to continuous improvement in data pipelines, tools, and reporting mechanisms. Required Skills and Qualifications: Proven experience in writing efficient and complex SQL queries for large datasets. Strong programming skills in Python , with knowledge of data libraries such as Pandas, NumPy, etc. Hands-on experience building visualizations and dashboards using Tableau . Experience with data wrangling , cleaning, and transformation techniques. Solid understanding of data analysis methodologies and problem-solving using data. Excellent communication skills and ability to present technical findings to non-technical stakeholders. Attention to detail and commitment to delivering high-quality work.

This role is ideal for someone with strong expertise in SQL, Python, Hadoop/Oracle and Pyspark , and a solid background in data analysis and wrangling . You will play a key role in building and maintaining analytical solutions that drive insights, especially in the area of fraud detection within card transactions and account opening domains . Key Responsibilities: Develop, maintain, and optimize complex SQL queries to support data extraction and transformation activities. Utilize Python for advanced data processing, automation, and analytical modeling. Build and maintain Tableau dashboards that provide actionable insights to stakeholders. Perform data wrangling and cleansing from various sources to prepare data for analysis. Conduct detailed data analysis to uncover trends, patterns, and potential fraudulent activity. Collaborate with fraud analytics and operations teams to develop and enhance fraud detection frameworks. Document data processes and maintain data integrity across workflows. Contribute to continuous improvement in data pipelines, tools, and reporting mechanisms. Required Skills and Qualifications: Proven experience in writing efficient and complex SQL queries for large datasets. Strong programming skills in Python , with knowledge of data libraries such as Pandas, NumPy, etc. Hands-on experience building visualizations and dashboards using Tableau . Experience with data wrangling , cleaning, and transformation techniques. Solid understanding of data analysis methodologies and problem-solving using data. Excellent communication skills and ability to present technical findings to non-technical stakeholders. Attention to detail and commitment to delivering high-quality work.