🔎 We're Hiring: KYC/AML Analyst (Remote) 💰 Compensation: ₹3.5 – ₹4 LPA 🧑💻 Work Mode: 100% Remote Are you passionate about compliance, risk management, and data accuracy? Join our dynamic team as a KYC/AML Analyst and help us strengthen our compliance operations. 🔧 Key Responsibilities: Conduct independent research using internal systems, commercial databases, and public sources Assess data for accuracy and regulatory compliance Perform due diligence investigations aligned with global standards Analyze customer and market data to identify risk patterns Apply domain knowledge for complex investigations and data insights ✅ Ideal Candidate Should Have: 1–3 years of hands-on experience in KYC/AML operations Strong analytical and investigative mindset Familiarity with EMEA & APAC regulatory environments is a plus Experience with AML platforms or global custodial banking projects is highly desirable Ability to manage multiple tasks independently and meet tight deadlines 🎯 Why Join Us? Fully remote work environment Opportunity to work on global compliance frameworks Supportive and collaborative team culture 📩 Apply Now or tag someone who fits this role! 📧 [suresh@mainstreamtek.com] #hiring #kyc #aml #remotejobs #compliance #riskmanagement #careers #jobsearch #nowhiring #fintech #kycjobs Show more Show less
🔎 We're Hiring: KYC/AML Analyst (Remote) 💰 Compensation: ₹3.5 – ₹4 LPA 🧑💻 Work Mode: 100% Remote Are you passionate about compliance, risk management, and data accuracy? Join our dynamic team as a KYC/AML Analyst and help us strengthen our compliance operations. 🔧 Key Responsibilities: Conduct independent research using internal systems, commercial databases, and public sources Assess data for accuracy and regulatory compliance Perform due diligence investigations aligned with global standards Analyze customer and market data to identify risk patterns Apply domain knowledge for complex investigations and data insights ✅ Ideal Candidate Should Have: 1–3 years of hands-on experience in KYC/AML operations Strong analytical and investigative mindset Familiarity with EMEA & APAC regulatory environments is a plus Experience with AML platforms or global custodial banking projects is highly desirable Ability to manage multiple tasks independently and meet tight deadlines 🎯 Why Join Us? Fully remote work environment Opportunity to work on global compliance frameworks Supportive and collaborative team culture #hiring #kyc #aml #remotejobs #compliance #riskmanagement #careers #jobsearch #nowhiring #fintech #kycjobs
🚀 Hiring Now: QA/BA – Manual Testing (3 to 6 Years) 📍 Location : Hyderabad (Relocation Mandatory for Outstation Candidates) 🕒 Notice Period : Immediate Joiners Preferred 💼 Experience : 3 to 6 years (Band 1) 🏢 Domain : BFSI – Capital Markets, Asset Servicing & Management 🔍 Key Responsibilities : Perform System, Smoke, Regression, and Integration Testing on Accounting tools like: ➤ CRIMS , Aladdin , Multicurrency Horizon (MCH) , e-Horizon Functional/Manual Testing: ➤ Test Case Design, Test Data Prep, Test Execution, Data Validation, and Evidence Capture Defect Identification & Tracking Hands-on experience with SQL queries Strong Client Communication & stakeholder handling Work independently or within a team Agile methodology knowledge and JIRA experience ✅ Candidate Requirements : 3–6 years of Manual Testing experience Excellent verbal and written communication skills BFSI Domain Knowledge, especially Capital Markets / Asset Management Willing to relocate to Hyderabad if currently based elsewhere Immediate joiners only #Hiring #QAJobs #BAJobs #ManualTesting #BFSI #CapitalMarkets #CRIMS #Aladdin #SQL #Jira #HyderabadJobs #ImmediateJoiners #JobOpening
As a Senior C# Engineer with expertise in cloud technologies and microservices architecture, you will play a crucial role in designing and implementing cloud-native applications. Your responsibilities will include developing and maintaining applications using C# and AWS/Azure, building scalable and resilient systems based on distributed event-driven architectures and microservices, and collaborating with cross-functional teams to define technical requirements. You will also drive innovation by recommending new cloud technologies and software development processes, provide mentorship to junior engineers, and optimize application performance in cloud environments. To qualify for this role, you should have a Bachelor's degree in computer science or a related field (Master's degree preferred) and a minimum of 5 years" experience in C# software development with a focus on microservices architecture. You should also have proven experience in designing cloud-native applications, a strong understanding of event-driven programming, distributed systems, and containerized deployment, as well as hands-on experience with major cloud providers like AWS, Azure, or Google Cloud Platform. Expertise in containerization technologies such as Docker and Kubernetes, and proficiency in DevOps tools and CI/CD pipelines are also essential for success in this position. Your role will involve participating in code reviews, staying updated on the latest trends in cloud computing, microservices, C# development, and container deployment technologies, and emphasizing best practices and high-quality code production. By leveraging your skills and experience, you will contribute to the ongoing success and growth of our team.,
Role Overview We are seeking a skilled professional with hands-on experience in capital markets and expertise in data conversion and migration processes. The ideal candidate will have a strong understanding of various asset classes, fund accounting, portfolio valuation, and data reconciliation. This role requires collaboration with subject matter experts and project teams to ensure seamless data migration while maintaining data accuracy and consistency. Key Responsibilities Demonstrate in-depth knowledge of asset classes such as Equity, Fixed Income, Futures & Options, ABS, and MBS. Possess conceptual knowledge of fund accounting and portfolio valuation. Familiarity with market reference data and corporate actions. Perform data reconciliation and analyze reconciliation breaks in detail. Conduct source system data analysis to manage source-to-target data mapping for large datasets. Data Conversion & Testing: Collaborate with subject matter experts and project teams to define and document data conversion requirements. Execute conversion and testing of static and transactional data between core systems. Perform data cleaning, scrubbing, and consistency checks (pre-checks). Understanding of ETL (Extract, Transform, Load) tools is preferred but not mandatory. Understand and manage the Conversion Run Book and task assignments. Advanced Excel Skills Required Skills Strong analytical skills with attention to detail in data reconciliation and migration processes. Excellent communication skills, both verbal and written, to interact with stakeholders effectively. Ability to work collaboratively with cross-functional teams and manage multiple tasks efficiently.
Overview We are seeking a highly skilled Data Quality Analyst with 3 to 6 years of experience and a strong foundation in both business and technical expertise in Investment Banking Domain. The ideal candidate will be an analytical thinker, adept at problem-solving, reviewing data quality checks, and proposing new ones. As a Data Quality Analyst, you will ensure the accuracy, consistency, and reliability of data within the organization. Key Responsibilities Perform comprehensive data quality checks and propose enhancements to existing processes Analyze and solve complex problems related to data quality in the Investment Banking domain Collaborate with cross-functional teams to ensure data integrity across various systems Support Business System Analysis ,Project Management, and Quality Assurance initiatives Work on Trade Life Cycle and Management modules, including Front, Middle, and Back- office operations Utilize tools such as Charles River Investment Management System (CRD), SQL for data analysis Engage in extended testing areas, including End to End Performance Testing Conduct Data Validation and Cleansing to identify and rectify errors and inconsistencies, ensuring high data quality Continuously monitor data quality metrics and trends to pinpoint areas needing improvement Perform Data Quality Assessments and audits to evaluate data quality Collaborate closely with data engineers, data scientists, and other stakeholders to uphold data quality standards Maintain detailed documentation of data quality processes and standards Create and present reports on data quality metrics and improvements to management Required Skills Strong expertise in investment banking, capital markets - Front, Middle and Back office operations Proficient in SQL, ETL and various data analysis tools Well-versed in Charles River IMS (CRD)and its functionalities Excellent analytical and problem-solving skills Experienced in quality assurance life cycles and testing methodologies Effective communicator, capable of engaging with both technical and non-technical stakeholders Detail-oriented, skilled in identifying and correcting data discrepancies and errors Strong analytical skills for examining data and recognizing patterns or issues Familiarity with Agile methodology and Atlassian tools is advantageous Technically proficient with data management tools and software, such as SQL, Excel, and data visualization tools Knowledge in snowflake Problem-solving skills to devise solutions for enhancing data quality Excellent verbal and written communication abilities for collaborating with team members and stakeholders Self-motivated and proactive in identifying and resolving data quality issues Strong organizational skills and attention to detail Ability to work independently and as part of a team Eager to learn and adapt to new technologies and methodologies
As a Data Quality Analyst with 3 to 6 years of experience in the Investment Banking Domain, your role involves ensuring the accuracy, consistency, and reliability of data within the organization. You will be tasked with performing comprehensive data quality checks, proposing enhancements to existing processes, and collaborating with cross-functional teams to maintain data integrity across various systems. Your expertise will be crucial in analyzing and solving complex problems related to data quality in the investment banking domain. Key Responsibilities: - Perform comprehensive data quality checks and propose enhancements to existing processes - Analyze and solve complex problems related to data quality in the Investment Banking domain - Collaborate with cross-functional teams to ensure data integrity across various systems - Support Business System Analysis, Project Management, and Quality Assurance initiatives - Work on Trade Life Cycle and Management modules, including Front, Middle, and Back-office operations - Utilize tools such as Charles River Investment Management System (CRD) and SQL for data analysis - Engage in extended testing areas, including End to End Performance Testing - Conduct Data Validation and Cleansing to identify and rectify errors and inconsistencies, ensuring high data quality - Continuously monitor data quality metrics and trends to pinpoint areas needing improvement - Perform Data Quality Assessments and audits to evaluate data quality - Collaborate closely with data engineers, data scientists, and other stakeholders to uphold data quality standards - Maintain detailed documentation of data quality processes and standards - Create and present reports on data quality metrics and improvements to management Qualifications Required: - Strong expertise in investment banking, capital markets - Front, Middle, and Back office operations - Proficient in SQL, ETL, and various data analysis tools - Well-versed in Charles River IMS (CRD) and its functionalities - Excellent analytical and problem-solving skills - Experienced in quality assurance life cycles and testing methodologies - Effective communicator, capable of engaging with both technical and non-technical stakeholders - Detail-oriented, skilled in identifying and correcting data discrepancies and errors - Strong analytical skills for examining data and recognizing patterns or issues - Familiarity with Agile methodology and Atlassian tools is advantageous - Technically proficient with data management tools and software, such as SQL, Excel, and data visualization tools - Knowledge in Snowflake - Problem-solving skills to devise solutions for enhancing data quality - Excellent verbal and written communication abilities for collaborating with team members and stakeholders - Self-motivated and proactive in identifying and resolving data quality issues - Strong organizational skills and attention to detail - Ability to work independently and as part of a team - Eager to learn and adapt to new technologies and methodologies,
Overview We are seeking a highly skilled Data Quality Analyst with 3 to 6 years of experience and a strong foundation in both business and technical expertise in Investment Banking Domain. The ideal candidate will be an analytical thinker, adept at problem-solving, reviewing data quality checks, and proposing new ones. As a Data Quality Analyst, you will ensure the accuracy, consistency, and reliability of data within the organization. Key Responsibilities Perform comprehensive data quality checks and propose enhancements to existing processes Analyze and solve complex problems related to data quality in the Investment Banking domain Collaborate with cross-functional teams to ensure data integrity across various systems Support Business System Analysis ,Project Management, and Quality Assurance initiatives Work on Trade Life Cycle and Management modules, including Front, Middle, and Back- office operations Utilize tools such as Charles River Investment Management System (CRD), SQL for data analysis Engage in extended testing areas, including End to End Performance Testing Conduct Data Validation and Cleansing to identify and rectify errors and inconsistencies, ensuring high data quality Continuously monitor data quality metrics and trends to pinpoint areas needing improvement Perform Data Quality Assessments and audits to evaluate data quality Collaborate closely with data engineers, data scientists, and other stakeholders to uphold data quality standards Maintain detailed documentation of data quality processes and standards Create and present reports on data quality metrics and improvements to management Required Skills Strong expertise in investment banking, capital markets - Front, Middle and Back office operations Proficient in SQL, ETL and various data analysis tools Well-versed in Charles River IMS (CRD)and its functionalities Excellent analytical and problem-solving skills Experienced in quality assurance life cycles and testing methodologies Effective communicator, capable of engaging with both technical and non-technical stakeholders Detail-oriented, skilled in identifying and correcting data discrepancies and errors Strong analytical skills for examining data and recognizing patterns or issues Familiarity with Agile methodology and Atlassian tools is advantageous Technically proficient with data management tools and software, such as SQL, Excel, and data visualization tools Knowledge in snowflake Problem-solving skills to devise solutions for enhancing data quality Excellent verbal and written communication abilities for collaborating with team members and stakeholders Self-motivated and proactive in identifying and resolving data quality issues Strong organizational skills and attention to detail Ability to work independently and as part of a team Eager to learn and adapt to new technologies and methodologies