201 Analysis Tools Jobs - Page 2

We are looking for a highly skilled and experienced Credit Manager to join our team at Equitas Small Finance Bank Ltd. The ideal candidate will have 2-4 years of experience in the BFSI industry. Roles and Responsibility Manage credit portfolios and make informed decisions on loan approvals. Conduct thorough credit assessments and risk analyses. Develop and implement effective credit management strategies. Collaborate with cross-functional teams to achieve business objectives. Monitor and report on credit performance metrics. Ensure compliance with regulatory requirements and industry standards. Job Strong knowledge of credit management principles and practices. Excellent analytical and problem-solving skills. Ability to work effectively in a fast-paced environment. Effective communication and interpersonal skills. Proficiency in financial modeling and data analysis tools. Experience working with small finance banks or similar institutions is preferred.

We are looking for a highly skilled and experienced Credit Officer to join our team at Equitas Small Finance Bank Ltd. The ideal candidate will have 3 years of experience in the BFSI industry. Roles and Responsibility Manage credit portfolios and make informed decisions on loan approvals. Conduct thorough credit assessments and risk analyses. Develop and implement effective credit policies and procedures. Collaborate with cross-functional teams to achieve business objectives. Monitor and report on credit performance metrics. Identify opportunities to improve credit processes and operations. Job Strong knowledge of credit principles, practices, and regulations. Excellent analytical, communication, and problem-solving skills. Ability to work in a fast-paced environment and meet deadlines. Proficiency in financial modeling and data analysis tools. Strong understanding of credit risk management strategies. Experience working with diverse stakeholders, including customers, colleagues, and external partners. Location - Arakonam,Chennai,Ponneri,Vellore

We are looking for a highly skilled and experienced Credit Officer to join our team at Equitas Small Finance Bank Ltd. The ideal candidate will have 1-2 years of experience in the BFSI industry. Roles and Responsibility Manage credit portfolios and make informed decisions on loan approvals. Conduct thorough credit assessments and risk analyses. Develop and implement effective credit policies and procedures. Collaborate with cross-functional teams to achieve business objectives. Monitor and report on credit performance metrics. Identify opportunities to improve credit processes and operations. Job Requirements Strong understanding of credit principles and practices. Excellent analytical and problem-solving skills. Ability to work effectively in a fast-paced environment. Effective communication and interpersonal skills. Proficiency in financial modeling and data analysis tools. Experience with credit management systems and technologies.

We are looking for a highly skilled and experienced Credit Officer to join our team at Equitas Small Finance Bank Ltd. The ideal candidate will have 2 to 7 years of experience in the BFSI industry. Roles and Responsibility Manage credit portfolios and make informed decisions on loan approvals. Conduct thorough credit assessments and risk analyses. Develop and implement effective credit policies and procedures. Collaborate with cross-functional teams to achieve business objectives. Monitor and report on credit performance metrics. Identify opportunities to improve credit processes and operations. Job Requirements Strong knowledge of credit principles, practices, and regulations. Excellent analytical, communication, and problem-solving skills. Ability to work in a fast-paced environment and meet deadlines. Proficiency in financial modeling and data analysis tools. Strong understanding of credit risk management and mitigation strategies. Experience working with diverse stakeholders, including customers, colleagues, and external partners.

ABOUT EVERNORTH: Evernorth exists to elevate health for all, because we believe health is the starting point for human potential and progress. As champions for affordable, predictable and simple health care,we solve the problems others dont, wont or cant. We are always looking upward. And that starts with finding the right talent to help us get there. Data Analyst Digital Data Strategy Career Architecture Title: HIH Data Measurement & Reporting Analyst As a Digital Data Analyst, you will be responsible for interpreting complex data sets, analyzing trends, and generating insights to inform strategic decisions and drive business growth. The ideal candidate will have a strong background in data analysis, proficiency with digital analytics tools, and the ability to communicate findings effectively to diverse stakeholders. They will also spend time researching data lineage and running SQL queries to answer detailed questions. Gather and organize data from various digital sources, including websites, mobile apps, social media platforms, and third-party analytics tools. Perform in-depth analysis of digital data sets to identify trends, patterns, and correlations.Utilize statistical techniques and data visualization tools to present findings in a clear and actionable format.Monitor key performance indicators (KPIs) related to digital marketing campaigns, website traffic, user engagement, and conversion rates. Identify areas of improvement and opportunities for optimization based on data-driven insights.Collaborate with cross-functional teams to develop data-driven strategies and initiatives to enhance digital performance and achieve business objectives. Provide actionable recommendations based on data analysis to drive decision-making at both tactical and strategic levels.Prepare regular reports and dashboards to communicate findings and insights to internal stakeholders, including executives, marketing teams, and product managers. Present analysis results and recommendations in a clear, concise, and visually compelling manner.Ensure the accuracy, completeness, and reliability of digital data by implementing data validation processes and conducting quality assurance checks. Proactively identify and resolve data discrepancies or inconsistencies.Stay updated on industry trends, best practices, and emerging technologies related to digital analytics and data management. Share knowledge and insights with team members to foster a culture of learning and innovation. Qualifications Required Skills Solid understanding of statistical methods, hypothesis testing, and predictive modeling techniques.Excellent analytical skills with the ability to interpret complex data sets and generate actionable insights.Strong communication and presentation skills, with the ability to convey technical concepts to non-technical stakeholders effectively.Proficiency in data analysis tools and programming languages such as SQL, Python, R, or similar.Detail-oriented mindset with a focus on data accuracy and integrity.The ability to work collaboratively in a fast-paced, cross-functional environment and manage multiple priorities simultaneously. Required Experience 1-3 years of experienceProven experience as a digital data analyst or similar role, with a strong track record of leveraging data to drive business outcomes.Hands-on experience with digital analytics platforms (e.g., Google Analytics, Adobe Analytics, etc.) and familiarity with tag management systems. Required Education Bachelors degree in Statistics, Mathematics, Computer Science, Economics, or a related field. Masters degree preferred. Location & Hours of Work Full-time position, working 40 hours per week. Expected overlap with US hours as appropriatePrimarily based in the Innovation Hub in Hyderabad, India in a hybrid working model (3 days WFO and 2 days WAH)

POSITION TITLEDeputy Manager(HRBP) REPORTING TOAssociate Director,Human Resources WORKING LOCATION:Chennai : We are looking for a strategic and people-oriented HR Business Partner (HRBP) to join our Human Resources team based in Chennai . In this role, you will oversee HR operations for two sites – Chennai and Noida , partnering closely with business leaders to align HR initiatives with organizational objectives. Alongside your core HRBP responsibilities, you will also lead key portfolios including Learning & Development and Employer Branding . This position requires a strong balance of strategic insight and practical execution across areas such as talent management, employee engagement, organizational development, learning programs, and employer brand initiatives. Key Responsibilities: Partner with leadership to drive a high-performance culture and foster employee engagement. Provide guidance on HR policies, practices, and compliance across various business units. Manage and resolve complex employee relations issues while ensuring legal compliance and consistency. Support change management initiatives and organizational restructuring efforts as needed. Act as a cultural ambassador and help drive core values across the organization. Qualifications: Bachelor’s degree in Human Resources, Business Administration, or related field (Master’s degree or MBA preferred). 8–10 years of progressive HR experience, including at least 2 years in a strategic HRBP or similar role. Strong business acumen with the ability to align HR strategies to business goals. Excellent interpersonal, coaching, and communication skills. Proficient in HRIS systems and data analysis tools (e.g., Workday, SAP, Excel). Knowledge of employment laws and best practices. Experience supporting a diverse, multi-location workforce is a plus. Preferred Attributes: Ability to influence and build relationships across all levels of the organization. Comfortable working in a fast-paced, dynamic environment. Strong analytical and problem-solving abilities.

At TE, you will unleash your potential working with people from diverse backgrounds and industries to create a safer, sustainable and more connected world. Job Overview TE Connectivity s R&D/Product Development Engineering Teams conceive original ideas for new products, introduce them into practice. They are responsible for product development, and qualification from market definition through production and release; assist in the qualification of suppliers for new products to ensure suppliers deliver quality parts, materials, and services for new or improved manufacturing processes; conduct feasibility studies, testing on new and modified designs; direct and support detailed design, testing, prototype fabrication and manufacturing ramp. The R&D/Product Development Engineering Teams provide all required product documentation including, but not limited to, Solid Model, 2D/3D production drawings, product specifications, and testing requirements. They create and modify detailed drawings and drafting or conceptual models from layouts, rough sketches or notes and contribute to design modifications to facilitate manufacturing operation or quality of product. Typical fields of expertise includematerials, mechanics and systems, electrical, optics, chemistry, software, automation systems, packaging, testing and measurement, and manufacturing of electrical, mechanical and electronic components, products, and their integration into systems. KEY RESPONSBILITIES: Minimum of 5+ years of work experience in a signal integrity engineering role or related experience Minimum of 3+ years of work experience in connector development - Experience with interconnect design or experience with connector &/or cable/cable assembly design (high speed twinax cables, direct attach copper (DAC) cables) Demonstrated experience using Signal integrity analysis tools (Agilent ADS, Ansys HFSS or equivalent, 3D modeling tools) and testing equipment (including VNA, TDR and BERT). A solid understanding of statistical analysis and AI training. A solid understanding of SI knowledge, including electromagnetic theory and electrical circuit behavior Strong analytical capabilities to interpret simulation and lab data to identify issues and provide solutions to fix identified problem. Familiarity with printed circuit board design, fabrication and assembly. Familiar with material, manufacturing process, and manufacture inspection. Familiar with at least one programming language, such as Matlab, python, C++, VB, etc. Excellent verbal and written communication skills Ability to work in a global environment - able to accommodate varying time zones, fluent in English (verbal/written), able to collaborate with individuals across geographies Solid presentation skills with an ability to clearly communicate technical concepts to diverse audiences in English Individual must be highly motivated, a quick learner, and able to work independently Competencies Location

Job Title Manager Corporate Quality Job Summary The Corporate Quality Manager will work closely with the relevant stakeholders to drive Process Excellence Initiatives. This role will drive continuous improvement, risk management, and customer satisfaction. Key Responsibilities Continuous Improvement Drive continuous improvement initiatives, including Lean, Six Sigma, or other methodologies to achieve efficiency improvements, customer value creation and delivery excellence Customer SatisfactionMonitor and analyze customer feedback, ensuring effective resolution of quality-related issues. Quality Metrics and ReportingDevelop and track quality metrics, providing regular reports to senior management. Collaborate with internal stakeholders and clients to drive and influence improvement objectives. Provide support and guidance to develop and design documents including training manuals, process outlines, flowcharts, checklists, templates, and implementation procedures. Mentor and support candidates pursuing Six Sigma Yellow Belt certifications. Hands on work on project implementation, including project plan creation, governance, stakeholder management, toll gate reviews and benefit quantification Quality Management SystemsAdhere to quality management systems, including ISO 9001, ISO 27001, or other relevant standards. EducationAny Bachelor's or Master s degree ExperienceMinimum 12 to 15 years of experience in the field of Process Excellence, with at least 5 years in a managerial role CertificationsSix Sigma Green Belt, Certified Lean Practioner or other relevant certifications. Data Analysis Skills: Proficiency in data analysis tools (e.g., Excel, Tableau). Nice to Have Industry ExperienceExperience in US healthcare will be an added advantage (preferred Healthcare (RCM) experience, insurance collection business, F&A Order to Cash)

We are looking for a highly skilled and experienced Credit Officer to join our team at Equitas Small Finance Bank Ltd. The ideal candidate will have 2 to 7 years of experience in the BFSI industry. Roles and Responsibility Manage credit portfolios and make informed decisions on loan approvals. Conduct thorough credit assessments and risk analyses. Develop and implement effective credit policies and procedures. Collaborate with cross-functional teams to achieve business objectives. Monitor and report on credit performance metrics. Identify opportunities to improve credit processes and operations. Job Requirements Strong knowledge of credit underwriting principles and practices. Excellent analytical and problem-solving skills. Ability to work effectively in a fast-paced environment. Effective communication and interpersonal skills. Proficiency in financial modeling and data analysis tools. Experience with credit management systems and technologies.

Roles and Responsibilities: Work with offshore and global teams to understand project scope including analysis domain, boundary condition, material models, type of analysis etc. Active Coordinator for multiple groups that include Design, Aerodynamics and Structures teams for Project specific inputs Ability to work autonomously and prioritize multiple projects Review technical presentations, interpret the results and present the same to Customer Expertise in dealing with Design and Technical Discipline reviews Responsible for ensuring 100% quality and on-time delivery Conduct project review meetings to share the lessons learned and best practices to the team to improve the quality Responsible for providing alternative solutions on field issues Responsible for process improvements by developing Automation tools Work on complex CAE problems to assist product development Prepare Technical proposals and Business cases for new process improvement areas Perform Design Modifications as per need and validating the same with FEA Demonstrate Excellent Technical, Project Management, Interpersonal and Problem solving skills Mandatory skills: Minimum 6 years of experience in Stress analysis of Aero engine components (Rotors, Cases, Stators and Externals) using commercial Finite Element Analysis tool. Expertise in handling various structural analysis tools preferably ANSYS Classic, Ansys Workbench, Hypermesh etc 2D & 3D Finite Element modeling of simple, moderate and complex components (Hexahedral & tetrahedral elements) using ANSYS-APDL or Workbench Linear and non-linear static stress analysis (Geometric, Material and contact Linearity) using ANSYS-APDL or Workbench Modal, Harmonic and transient Dynamic stress analysis using ANSYS-APDL or Workbench Strength, stability and Durability of components Damage tolerance analysis to estimate fracture life Should able to develop/modify APDL Macros Should able to build/update FE Models in HyperMesh. Desired Skills: Experience in scripting using Matlab, VB,TCL/Tk, Python is an added advantage Knowledge of Hand Calculations, Standards and Design codes is an added advantage Basic Knowledge of CAD tools is and added advantage Roles and Responsibilities Execute Stress analysis projects of Aero engine components (Rotors, Cases, Stators and Externals) using ANSYS-APDL or Workbench independently.

Role Summary As an Air Quality professional, you will be working closely with Earth, Environment and Ecology teams in WSP India on global projects. The ideal candidate for this role would have experience of working in a range of sectors like Transport, Civil Infrastructure, Water, Properties & Buildings, with a focus on the completion of assessments of air quality impacts from industrial and Infrastructure projects. Experience of completing air quality assessment including dispersion modelling, dust assessment and management, odour assessment and management, monitoring data analysis, and experience with hazardous material data analysis and occupational hygiene, would all be advantageous. You would be expected to have an educational background in Environmental Sciences & Technology with at least, 4+ years of professional experience. Responsibilities Undertake Air Quality assessments by applying appropriate analysis and evaluation, drawing on relevant guidance, international and national policy. Work under supervision of senior staff in specialty domains like air emission rate estimates, stack height determination, detailed dispersion modelling, ambient air quality and meteorological monitoring, meteorological monitoring, odour assessments and dust assessments. . Prepare technical reports (including the analysis and interpretation of model output and monitoring data). Analyse data of hazardous materials, occupational hygiene and prepare IAQ reports pertaining EHS studies. Analyse ecological field data and prepare ecological reports. In General, prepare graphical outputs based on ground investigations and data analysis. Assist with preparing expressions of interest, pre-qualifications, project proposals/bids, fee estimates and project work programmes and budgets. Maintain knowledge of current technical standards, good practice guidance, legislation, codes of practice and New Zealand standards. Ensure assignments are completed on schedule or in a timely manner and within budget. Work in sync with multidisciplinary, cross-cultural and geographically distributed teams; Integrate technical inputs from project peers to deliver the project outcome. Contribute on an on-going basis toward maintaining a safe working environment both for yourself and for those working with you or in your close vicinity; Ensure that confidentiality is respected, and proper work ethics are always maintained. Develop a professional profile with clients and the scientific community generally (including the publishing and/or presentation of papers). Desired Skills Experience in dispersion modelling for air quality assessment Experience in odour assessment Experience in dust management methods Experienced in the use of GIS to produce figures and plots. Familiarity with scripting and a range of digital tools used in data analysis. Proficient in data management skills; Good analytical skills and attention to detail. Ability to work effectively and competently with people at all levels; within and external to the organisation. Client centric, with strong organisational ability to optimise and prioritise conflicting demands in a busy environment, to achieve deadlines and see responsibilities through to completion. Resilient, comfortable with change and ambiguity; Results orientated, with a reputation for, and demonstrated achievement of, key strategic priorities. Ability to work collaboratively and demonstrated capability to perform effectively as part of a team across a matrix type structure. Good interpersonal and communication skills, including oral and written communication and particularly the ability to present ideas, information and advice in a way that is understandable by a range of audiences. Software Proficiencies Demonstrable hands-on proficiencies in a broad range of data analysis tools and dispersion modelling software such as R, Microsoft Excel, ArcMap, AERMOD, CALPUFF , ADMS-Roads and GRAL. Coding skills would be preferred: VBA, Python, SQL, R , etc. Candidate with Scripting skill would have advantaged: HTML/CSS, C++/C#, JavaScript etc. Qualifications MSc or MTech in Environmental Science and Technology or Environmental Engineering with focus on Air Quality. Membership of a relevant international professional body preferred. Experience 4+ years of hands-on professional experience Experience in global consulting organisations preferred

Overview MSCI Index Data Operations (IDO)) team provides high quality and differentiated equity data for construction of MSCI’s products such as Equity Indexes, Risk Models and ESG Ratings. The Index Data Specialist will be responsible for end-to-end data development of new products for our Indexes division as a data content expert covering all aspects of Index data like Universe management, Shares, Free float, corporate actions, Dividend, Fundamental data, options, risk-factors etc for multi-asset classes. The ideal candidate will have a strong technical background, excellent data analysis skills, and the ability to coordinate and manage various stakeholders effectively. Responsibilities Data Analysis and Understanding: Analyze and interpret Index input data to identify trends, patterns, and insights. Possess a comprehensive understanding of the workflow and establish expertise in the entirety of data points. Take full ownership of Index Input Data, encompassing the processing and validation of such data. Collaborate effectively with data providers and internal stakeholders to guarantee timely and accurate data ingestion. Ensure data accuracy and integrity throughout the product development lifecycle. Product Development: Lead the data development of new index products from concept to launch. Collaborate with cross-functional teams to define product requirements and specifications. Develop and maintain project plans, timelines. Stakeholder Management: Coordinate and manage communication with internal and external stakeholders. Facilitate regular updates and meetings with senior management and other key stakeholders. Address and resolve any issues or conflicts that arise during the project. Ability to multi-task and be able to work on multiple projects at the same time Technical Expertise: Utilize technical knowledge to support product development and problem-solving. Stay updated with the latest industry trends and technologies related to indexes and data analysis. Proactively identify areas for process optimization and efficiency gains. Suggest enhancements to data workflows, quality control procedures, and reporting mechanisms. Reporting and Documentation: Prepare and present project status reports to senior management. Perform risk management to minimize project risks. Document all project-related activities, decisions, and changes. Qualifications Master’s degree in finance, Economics or Mathematics (Including equivalents of CA, CFA, FRM, MMS, MBA). Minimum of 5-7 years of relevant working experience (Industry type: Financial Services , Broking , Capital Market). Proven experience in project management, preferably in the financial services or data analytics industry. Strong technical background with proficiency in data analysis tools and software, Python, Power BI,etc Excellent communication, coordination, and stakeholder management skills. Ability to work independently and as part of a team in a fast-paced environment. PMP or similar project management certification is a plus. Skills: Data analysis and interpretation Project planning and management Stakeholder coordination and communication Technical problem-solving Reporting and documentation What we offer you Transparent compensation schemes and comprehensive employee benefits, tailored to your location, ensuring your financial security, health, and overall wellbeing. Flexible working arrangements, advanced technology, and collaborative workspaces. A culture of high performance and innovation where we experiment with new ideas and take responsibility for achieving results. A global network of talented colleagues, who inspire, support, and share their expertise to innovate and deliver for our clients. Global Orientation program to kickstart your journey, followed by access to our Learning@MSCI platform, LinkedIn Learning Pro and tailored learning opportunities for ongoing skills development. Multi-directional career paths that offer professional growth and development through new challenges, internal mobility and expanded roles. We actively nurture an environment that builds a sense of inclusion belonging and connection, including eight Employee Resource Groups. All Abilities, Asian Support Network, Black Leadership Network, Climate Action Network, Hola! MSCI, Pride & Allies, Women in Tech, and Women’s Leadership Forum. At MSCI we are passionate about what we do, and we are inspired by our purpose – to power better investment decisions. You’ll be part of an industry-leading network of creative, curious, and entrepreneurial pioneers. This is a space where you can challenge yourself, set new standards and perform beyond expectations for yourself, our clients, and our industry. MSCI is a leading provider of critical decision support tools and services for the global investment community. With over 50 years of expertise in research, data, and technology, we power better investment decisions by enabling clients to understand and analyze key drivers of risk and return and confidently build more effective portfolios. We create industry-leading research-enhanced solutions that clients use to gain insight into and improve transparency across the investment process. MSCI Inc. is an equal opportunity employer. It is the policy of the firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, gender, gender identity, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy (including unlawful discrimination on the basis of a legally protected parental leave), veteran status, or any other characteristic protected by law. MSCI is also committed to working with and providing reasonable accommodations to individuals with disabilities. If you are an individual with a disability and would like to request a reasonable accommodation for any part of the application process, please email Disability.Assistance@msci.com and indicate the specifics of the assistance needed. Please note, this e-mail is intended only for individuals who are requesting a reasonable workplace accommodation; it is not intended for other inquiries. To all recruitment agencies MSCI does not accept unsolicited CVs/Resumes. Please do not forward CVs/Resumes to any MSCI employee, location, or website. MSCI is not responsible for any fees related to unsolicited CVs/Resumes. Note on recruitment scams We are aware of recruitment scams where fraudsters impersonating MSCI personnel may try and elicit personal information from job seekers. Read our full note on careers.msci.com

What you will do Let’s do this. Let’s change the world. In this vital role you will be responsible for ensuring the proper management, governance, quality, and accessibility of an organization's data. Ensure data is trustworthy, well-organized, and effectively used, playing a crucial role in enabling data-driven decision-making and maintaining regulatory compliance. The ideal candidate has deep technical skills, experience with Syniti Knowledge platform (SKP) technologies, and a deep understanding of data architecture and ETL processes. Roles & Responsibilities: Design, develop, and manage data migration solutions using the Syniti Knowledge Platform. Configure and optimize Syniti Data Replication (SDR) and Syniti Advanced Data Migration (ADM) solutions. Collaborate with team members to understand data governance and quality requirements and implement solutions to address them. Monitor and improve data accuracy, completeness, consistency, and reliability. Create and maintain metadata repositories for easy data identification and understanding. Manage access controls to ensure authorized personnel can access data. Safeguard sensitive and confidential data from unauthorized access. Work with data owners, data analysts, and IT teams to align data practices with business objectives. Act as a liaison between technical teams and business users to ensure data meets organizational needs. Develop and maintain documentation for data processes, standards, and workflows. Investigate and resolve data-related issues and discrepancies. Develop and maintain metrics to track data quality and stewardship effectiveness. What we expect of you We are all different, yet we all use our unique contributions to serve patients. Basic Qualifications: Master’s degree and 1 to 3 years of Computer Science, IT or related field experience OR Bachelor’s degree and 3 to 5 years of Computer Science, IT or related field experience OR Diploma and 7 to 9 years of Computer Science, IT or related field experience Preferred Qualifications: Demonstrate a solid understanding of Syniti’s Data Migration methodology. Demonstrate strong proficiency in Syniti’s tools(ADM, Data Quality, MDM, Mass maintenance & SDR), working to prescribed development standards. Good understanding of business processes for one or more assigned functional area, and the ability to quickly learn about new areas. Demonstrate a strong knowledge of underlying technical data structures and definitions of assigned functional process area. Develop data migration rules and reports in the Syniti’s tools as per supplied specification. Evaluate and contribute to ongoing data migration design for assigned process area through data analysis, reporting and collaboration with on-site Syniti and client colleagues. Create and maintain data load programs. Experience with SAP Advanced Data Migration and Management(ADMM) Maintain related documentation and clearly communicate status to Syniti Team Leadership and customer PMO. Execution of end-to-end data loads and reconciliations. Proficiency in data analysis tools (eg. SQL) and experience with data visualization tools Database experience - SQL Server, Oracle etc. Good-to-Have Skills: Experience in ETL / Data Migration / Data Quality / Data Analysis. ERP techno-functional or functional experience, SAP preferred. Experience in SAP MDG Business Partner (Customer & Supplier), Material & Finance objects. Successfully participated in at least one or more full ERP implementation lifecycles. Working knowledge in SAFe development environment. Understanding of enterprise data strategy, data governance, data infrastructure. Working knowledge with cloud (e.g. AWS) and on-premises compute infrastructure. Database experience - SQL Server, Oracle etc. Professional Certifications: Agile Certified Practitioner (preferred) Syniti Certified Developer certification (preferred) Soft Skills: Excellent critical-thinking and problem-solving skills. Good communication and collaboration skills. Demonstrated awareness of how to function in a team setting. Demonstrated presentation skills. What you can expect of us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we’ll support your journey every step of the way. In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards. Apply now for a career that defies imagination Objects in your future are closer than they appear. Join us. careers.amgen.com As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease. Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment.

ABOUT THE ROLE You will play a key role in a regulatory submission content automation initiative which will modernize and digitize the regulatory submission process, positioning Amgen as a leader in regulatory innovation. The initiative leverages state-of-the-art technologies, including Generative AI, Structured Content Management, and integrated data to automate the creation, review, and approval of regulatory content. ? The role is responsible for sourcing and analyzing data for this initiative and support designing, building, and maintaining the data pipelines to drive business actions and automation . This role involves working with Operations source systems, find the right data sources, standardize data sets, supporting data governance to ensure data is accessible, reliable, and efficiently managed. The ideal candidate has strong technical skills, experience with big data technologies, and a deep understanding of data architecture and ETL processes Roles & Responsibilities Ensure reliable , secure and compliant operating environment. Identify , extract, and integrate required business data from Operations systems residing in modern cloud-based architectures. Design, develop, test and maintain scalable data pipelines, ensuring data quality via ETL/ELT processes. Schedul e and manag e workflows the ensure pipeline s run on schedule and are monitored for failures. Implement data integration solutions and manage end-to-end pipeline projects, including scope, timelines, and risk. Reverse-engineer schemas and explore source system tables to map local representations of target business concepts. Navigate application UIs and backends to gain business domain knowledge and detect data inconsistencies. Break down information models into fine-grained, business-contextualized data components. Work closely with cross-functional teams, including product teams, data architects, and business SMEs, to understand requirements and design solutions. Collaborate with data scientists to develop pipelines that meet dynamic business needs across regions. Create and maintain data models, dictionaries, and documentation to ensure accuracy and consistency. Adhere to SOPs, GDEs , and best practices for coding, testing, and reusable component design. Basic Qualifications and Experience Master’s degree and 1 to 3 years of Computer Science, IT or related field experience OR Bachelor’s degree and 3 to 5 years of Computer Science, IT or related field experience OR Diploma and 7 to 9 years of Computer Science, IT or related field experience Functional Skills: Must-Have Skills: Hands on experience with data practices, technologies , and platforms , such as Databricks, Python, Prophecy, Gitlab, LucidChart etc Proficiency in data analysis tools ( eg. SQL) and experience with data sourcing tools Excellent problem-solving skills and the ability to work with large, complex datasets U nderstanding of data governance frameworks, tools, and best practices. Knowledge of and experience with data standards (FAIR) and protection regulations and compliance requirements (e.g., GDPR, CCPA) Good-to-Have Skills: Experience with ETL tools and various Python packages related to data processing, machine learning model development Strong understanding of data modeling, data warehousing, and data integration concepts Knowledge of Python /R , Databricks, cloud data platforms Professional Certifications Certified Data Engineer / Data Analyst (preferred on Databricks ) Soft Skills: Excellent critical-thinking and problem-solving skills Strong communication and collaboration skills Demonstrated awareness of how to function in a team setting Demonstrated presentation skills

ABOUT AMGEN Amgen harnesses the best of biology and technology to fight the world’s toughest diseases, and make people’s lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what’s known today. What you will do Let’s do this. Let’s change the world. In this vital role you will be responsible for designing, building, maintaining, analyzing, and interpreting data to provide actionable insights that drive business decisions. This role involves working with large datasets, developing reports, supporting and executing data initiatives and, visualizing data to ensure data is accessible, reliable, and efficiently managed. The ideal candidate has strong technical skills, experience with big data technologies, and a deep understanding of data architecture and ETL processes Design, develop, and maintain data solutions for data generation, collection, and processing Be a key team member that assists in design and development of the data pipeline Create data pipelines and ensure data quality by implementing ETL processes to migrate and deploy data across systems Contribute to the design, development, and implementation of data pipelines, ETL/ELT processes, and data integration solutions Take ownership of data pipeline projects from inception to deployment, manage scope, timelines, and risks Collaborate with cross-functional teams to understand data requirements and design solutions that meet business needs Develop and maintain data models, data dictionaries, and other documentation to ensure data accuracy and consistency Implement data security and privacy measures to protect sensitive data Leverage cloud platforms (AWS preferred) to build scalable and efficient data solutions Collaborate and communicate effectively with product teams Collaborate with Data Architects, Business SMEs, and Data Scientists to design and develop end-to-end data pipelines to meet fast paced business needs across geographic regions Identify and resolve complex data-related challenges Adhere to best practices for coding, testing, and designing reusable code/component Explore new tools and technologies that will help to improve ETL platform performance Participate in sprint planning meetings and provide estimations on technical implementation What we expect of you Master’s degree and 4 to 6 years of Computer Science, IT or related field experience OR Bachelor’s degree and 6 to 8 years of Computer Science, IT or related field experience OR Diploma and 10 to 12 years of Computer Science, IT or related field experience Basic Qualifications: Hands on experience with big data technologies and platforms, such as Databricks, Apache Spark (PySpark, SparkSQL),Snowflake, workflow orchestration, performance tuning on big data processing Proficiency in data analysis tools (eg. SQL) Proficient in SQL for extracting, transforming, and analyzing complex datasets from relational data stores Excellent problem-solving skills and the ability to work with large, complex datasets Experience with ETL tools such as Apache Spark, and various Python packages related to data processing, machine learning model development Strong understanding of data modeling, data warehousing, and data integration concepts Proven ability to optimize query performance on big data platforms Preferred Qualifications: Experience with Software engineering best-practices, including but not limited to version control, infrastructure-as-code, CI/CD, and automated testing Knowledge of Python/R, Databricks, SageMaker, cloud data platforms Strong understanding of data governance frameworks, tools, and best practices. Knowledge of data protection regulations and compliance requirements (e.g., GDPR, CCPA) Professional Certifications: AWS Certified Data Engineer preferred Databricks Certificate preferred Soft Skills: Excellent critical-thinking and problem-solving skills Strong communication and collaboration skills Demonstrated awareness of how to function in a team setting Demonstrated presentation skills EQUAL OPPORTUNITY STATEMENT Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation .

ABOUT AMGEN Amgen harnesses the best of biology and technology to fight the world’s toughest diseases, and make people’s lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what’s known today. What you will do Let’s do this. Let’s change the world. In this vital role you will be responsible for designing, building, maintaining, analyzing, and interpreting data to provide actionable insights that drive business decisions. This role involves working with large datasets, developing reports, supporting and executing data initiatives and, visualizing data to ensure data is accessible, reliable, and efficiently managed. The ideal candidate has strong technical skills, experience with big data technologies, and a deep understanding of data architecture and ETL processes Design, develop, and maintain data solutions for data generation, collection, and processing Be a key team member that assists in design and development of the data pipeline Create data pipelines and ensure data quality by implementing ETL processes to migrate and deploy data across systems Contribute to the design, development, and implementation of data pipelines, ETL/ELT processes, and data integration solutions Develop and maintain data models, data dictionaries, and other documentation to ensure data accuracy and consistency Implement data security and privacy measures to protect sensitive data Leverage cloud platforms (AWS preferred) to build scalable and efficient data solutions Collaborate and communicate effectively with product teams Collaborate with Data Architects, Business SMEs, and Data Scientists to design and develop end-to-end data pipelines to meet fast paced business needs across geographic regions Identify and resolve complex data-related challenges Adhere to best practices for coding, testing, and designing reusable code/component Explore new tools and technologies that will help to improve ETL platform performance Participate in sprint planning meetings and provide estimations on technical implementation What we expect of you Master’s degree and 1 to 3 years of Computer Science, IT or related field experience OR Bachelor’s degree and 3 to 5 years of Computer Science, IT or related field experience OR Diploma and 7 to 9 years of Computer Science, IT or related field experience Basic Qualifications: Hands on experience with big data technologies and platforms, such as Databricks, Apache Spark (PySpark, SparkSQL),Snowflake, workflow orchestration, performance tuning on big data processing Proficiency in data analysis tools (eg. SQL) Proficient in SQL for extracting, transforming, and analyzing complex datasets from relational data stores Experience with ETL tools such as Apache Spark, and various Python packages related to data processing, machine learning model development Strong understanding of data modeling, data warehousing, and data integration concepts Proven ability to optimize query performance on big data platforms Preferred Qualifications: Experience with Software engineering best-practices, including but not limited to version control, infrastructure-as-code, CI/CD, and automated testing Knowledge of Python/R, Databricks, SageMaker, cloud data platforms Strong understanding of data governance frameworks, tools, and best practices. Knowledge of data protection regulations and compliance requirements (e.g., GDPR, CCPA) Professional Certifications: AWS Certified Data Engineer preferred Databricks Certificate preferred Soft Skills: Excellent critical-thinking and problem-solving skills Strong communication and collaboration skills Demonstrated awareness of how to function in a team setting Demonstrated presentation skills EQUAL OPPORTUNITY STATEMENT Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation .

What you will do Let’s do this. Let’s change the world. In this vital role you are responsible for designing, building, maintaining, analyzing, and interpreting data to provide actionable insights that drive business decisions. This role involves working with large datasets, developing reports, supporting and executing data governance initiatives and, visualizing data to ensure data is accessible, reliable, and efficiently managed. The ideal candidate has strong technical skills, experience with big data technologies, and a deep understanding of data architecture and ETL processes Roles & Responsibilities: Design, develop, and maintain data solutions for data generation, collection, and processing Be a key team member that assists in design and development of the data pipeline Create data pipelines and ensure data quality by implementing ETL processes to migrate and deploy data across systems Collaborate with cross-functional teams to understand data requirements and design solutions that meet business needs Develop and maintain data models, data dictionaries, and other documentation to ensure data accuracy and consistency Implement data security and privacy measures to protect sensitive data Leverage cloud platforms (AWS preferred) to build scalable and efficient data solutions Collaborate and communicate effectively with product teams Identify and resolve complex data-related challenges Adhere to best practices for coding, testing, and designing reusable code/component Explore new tools and technologies that will help to improve ETL platform performance Participate in sprint planning meetings and provide estimations on technical implementation What we expect of you We are all different, yet we all use our unique contributions to serve patients. Basic Qualifications: Master’s degree and 1 to 3 years of Computer Science, IT or related field experience OR Bachelor’s degree and 3 to 5 years of Computer Science, IT or related field experience OR Diploma and 7 to 9 years of Computer Science, IT or related field experience Preferred Qualifications: Functional Skills: Must-Have Skills : Hands on experience with big data technologies and platforms, such as Databricks, Apache Spark (PySpark, SparkSQL), AWS, Redshift, Snowflake, workflow orchestration, performance tuning on big data processing Proficiency in data analysis tools (eg. SQL) and experience with data visualization tools. Proficient in SQL for extracting, transforming, and analyzing complex datasets from relational data stores Experience with ETL tools such as Apache Spark, and various Python packages related to data processing, machine learning model development Proven ability to optimize query performance on big data platforms Good-to-Have Skills: Experience with data modeling, performance tuning, on relational and graph databases( e.g. Marklogic, Allegrograph, Stardog, RDF Triplestore).. Strong understanding of data modeling, data warehousing, and data integration concepts Knowledge of Python/R, Databricks, SageMaker, cloud data platform Experience with Software engineering best-practices, including but not limited to version control, infrastructure-as-code, CI/CD, and automated testing Professional Certifications : AWS Certified Data Engineer preferred Databricks Certificate preferred Soft Skills: Excellent critical-thinking and problem-solving skills Strong communication and collaboration skills Demonstrated awareness of how to function in a team setting Shift Information: This position requires you to work a later shift and may be assigned a second or third shift schedule. Candidates must be willing and able to work during evening or night shifts, as required based on business requirements. Equal opportunity statement Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. What you can expect of us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we’ll support your journey every step of the way. In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards. Apply now for a career that defies imagination Objects in your future are closer than they appear. Join us. careers.amgen.com

What you will do Let’s do this. Let’s change the world. In this vital role you areresponsible for designing, building, maintaining, analyzing, and interpreting data to provide actionable insights that drive business decisions. This role involves working with large datasets, developing reports, supporting and executing data governance initiatives and, visualizing data to ensure data is accessible, reliable, and efficiently managed. The ideal candidate has strong technical skills, experience with big data technologies, and a deep understanding of data architecture and ETL processes Roles & Responsibilities: Design, develop, and maintain data solutions for data generation, collection, and processing Be a key team member that assists in design and development of the data pipeline Create data pipelines and ensure data quality by implementing ETL processes to migrate and deploy data across systems Contribute to the design, development, and implementation of data pipelines, ETL/ELT processes, and data integration solutions Collaborate with cross-functional teams to understand data requirements and design solutions that meet business needs Develop and maintain data models, data dictionaries, and other documentation to ensure data accuracy and consistency Implement data security and privacy measures to protect sensitive data Leverage cloud platforms (AWS preferred) to build scalable and efficient data solutions Collaborate and communicate effectively with product teams Identify and resolve complex data-related challenges Adhere to best practices for coding, testing, and designing reusable code/component Explore new tools and technologies that will help to improve ETL platform performance Participate in sprint planning meetings and provide estimations on technical implementation What we expect of you We are all different, yet we all use our unique contributions to serve patients. Basic Qualifications: Bachelor’s degree and 0 to 3 years of Computer Science, IT or related field experience OR Diploma and 4 to 7 years of Computer Science, IT or related field experience Preferred Qualifications: Functional Skills: Must-Have Skills : Hands on experience with big data technologies and platforms, such as Databricks, Apache Spark (PySpark, SparkSQL), AWS, Redshift, Snowflake, workflow orchestration, performance tuning on big data processing Proficiency in data analysis tools (eg. SQL) and experience with data visualization tools. Proficient in SQL for extracting, transforming, and analyzing complex datasets from relational data stores. Experience with ETL tools such as Apache Spark, and various Python packages related to data processing, machine learning model development Good-to-Have Skills: Experience with data modeling, performance tuning on relational and graph databases ( e.g. Marklogic, Allegrograph, Stardog, RDF Triplestore). Understanding of data modeling, data warehousing, and data integration concepts Knowledge of Python/R, Databricks, SageMaker, cloud data platform Experience with Software engineering best-practices, including but not limited to version control, infrastructure-as-code, CI/CD, and automated testing Professional Certifications : AWS Certified Data Engineer preferred Databricks Certificate preferred Soft Skills: Excellent critical-thinking and problem-solving skills Strong communication and collaboration skills Demonstrated awareness of how to function in a team setting Shift Information: This position requires you to work a later shift and may be assigned a second or third shift schedule. Candidates must be willing and able to work during evening or night shifts, as required based on business requirements. Equal opportunity statement Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation. What you can expect of us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we’ll support your journey every step of the way. In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards. Apply now for a career that defies imagination Objects in your future are closer than they appear. Join us. careers.amgen.com

: Job TitleAFC Transaction Monitoring - Lead Business Functional Analyst, VP LocationPune, India Role Description You will be joining the Anti-Financial Crime (AFC) Technology team and will work as part of a multi-skilled agile squad, specializing in understanding, enhancing and expanding the datasets required in Transaction Monitoring to identify Money Laundering or Terrorism Financing. You will have the opportunity to work on challenging problems, analyze large complex datasets and develop a deep understanding of the Transaction Monitoring functions and dataflows. As a key member of our team, you will play a crucial role in ensuring the integrity, accuracy, and completeness of the data required to run our transaction monitoring systems. Your expertise in data analysis, management, and technology will be instrumental to understand and leverage large datasets, ensuring compliance with regulatory requirements, and improving the quality of the Transaction Monitoring alerts. Deutsche Banks Corporate Bank division is a leading provider of cash management, trade finance and securities finance. We complete green-field projects that deliver the best Corporate Bank - Securities Services products in the world. Our team is diverse, international, and driven by shared focus on clean code and valued delivery. At every level, agile minds are rewarded with competitive pay, support, and opportunities to excel. You will work as part of a cross-functional agile delivery team. You will bring an innovative approach to software development, focusing on using the latest technologies and practices, as part of a relentless focus on business value. You will be someone who sees engineering as team activity, with a predisposition to open code, open discussion and creating a supportive, collaborative environment. You will be ready to contribute to all stages of software delivery, from initial analysis right through to production support. What we'll offer you As part of our flexible scheme, here are just some of the benefits that youll enjoy Best in class leave policy Gender neutral parental leaves 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Employee Assistance Program for you and your family members Comprehensive Hospitalization Insurance for you and your dependents Accident and Term life Insurance Complementary Health screening for 35 yrs. and above Your key responsibilities As a Vice President, your role will include management and leadership responsibilities, such as: Collaborate with stakeholders to gather, analyze, and document requirements, ensuring that the requirements are clear, comprehensive, and aligned with business objectives. Work closely with developers and architects to design and implement solutions that meet business needs whilst ensuring that solutions are scalable, supportable and sustainable. Thinking analytically, with systematic and logical approach to solving complex problems with a and high attention to detail Create and maintain comprehensive documentation, including requirements, process flows, and user guides. Ensure that documentation is accurate, up-to-date, and accessible to relevant stakeholders Be the voice of the customer when interacting with the development teams to ensure delivery is aligned to business requirements and expectations, Leading and collaborating across teams, mentoring, teaching, discovering new techniques and helping others to adopt them, leading by example. Employing data querying and analytical techniques to support the understanding of data and creation of reports and actionable intelligence. Your skills and experience Very good analytical problem-solving capabilities, Proven experience in data analysis, management, and technology integration. Proficiency in data analysis tools and programming languages (e.g., Python, SQL, R), ideally in a Cloud or Big Data environment, Understanding of the payments industry, payments systems, data and protocols as well as SWIFT messaging Experience leading and developing junior resources Excellent communication skills, with demonstrable ability to interface and converse at both junior and senior level and with both technical and non-IT staff How we'll support you Training and development to help you excel in your career Coaching and support from experts in your team A culture of continuous learning to aid progression A range of flexible benefits that you can tailor to suit your needs

: Job TitleBusiness Risk Analyst Corporate TitleAVP LocationMumbai, India Role Description We are seeking a Business Risk Analyst to join our global team, focusing on FinTech and VASPs. This role is critical to strengthening our control frameworks, ensuring regulatory compliance, and mitigating risks in dynamic sectors. The ideal candidate will have a strong analytic mindset and a solid foundation in risk controls, FinTech ecosystems and blockchain technology. What we'll offer you As part of our flexible scheme, here are just some of the benefits that youll enjoy, Best in class leave policy. Gender neutral parental leaves 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Employee Assistance Program for you and your family members Comprehensive Hospitalization Insurance for you and your dependents Accident and Term life Insurance Complementary Health screening for 35 yrs. And above Your key responsibilities Support FinTech & VASP control Processes Assist in executing predefined controls for Fintech clients (e.g. PSPs, Marketplaces) Perform periodic blockchain address screening in blockchain analytic tools and conduct initial financial crime risk-related assessment thereof Use blockchain analytical tools to generate standardized screening reports and flag potential financial crime-related risks for further review Non-Client Counterparty Due Diligence Support Gather preliminary information on non-client counterparties. Perform or assist in initial financial crime and reputational risk assessment on non-client counterparties Maintain organized records of non-client counterparty risk reviews and escalate as in pre-defined process. Data & Reporting Assistance Compile and organize data for risk report, using tools like Excel or BI platforms (e.g. Tableau) Support team lead in data visualization or summaries to highlight trends and anomalies. Assist in maintaining lists of clients, non-client counterparties and responding to relevant internal enquiries Your skills and experience 2 years of experience in risk, compliance, operations, or a related field. Analytical mindsetability to interpret basic datasets, identify patterns, and ask questions to clarify ambiguity Basic proficiency in Excel and willingness to learn new tools Strong organizational skills and attention to details Experience in blockchain analytical tools (e.g. Chainalysis) is a plus Experience in Fintech, Blockchain technology is a plus Familiarity with global regulatory frameworks for VASPs is a plus (e.g. EUs MiCA, Singapores PSA) Experience in KYC processes, Transaction Monitoring is a plus Experience in payments is a plus Proficiency in data analysis tools is a plusAdvanced Excel, SQL, or BI Platforms (e.g. Tableau) How we'll support you Training and development to help you excel in your career. Coaching and support from experts in your team. A culture of continuous learning to aid progression. A range of flexible benefits that you can tailor to suit your needs. About us and our teams Please visit our company website for further information: https://www.db.com/company/company.ht We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively. Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group. We welcome applications from all people and promote a positive, fair and inclusive work environment.

: Job TitleBusiness Risk Analyst Corporate TitleAS LocationMumbai, India Role Description We are seeking a Business Risk Analyst to join our global team, focusing on FinTech and VASPs. This role is critical to strengthening our control frameworks, ensuring regulatory compliance, and mitigating risks in dynamic sectors. The ideal candidate will have a strong analytic mindset and a solid foundation in risk controls, FinTech ecosystems and blockchain technology. What we'll offer you As part of our flexible scheme, here are just some of the benefits that youll enjoy, Best in class leave policy. Gender neutral parental leaves 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Employee Assistance Program for you and your family members Comprehensive Hospitalization Insurance for you and your dependents Accident and Term life Insurance Complementary Health screening for 35 yrs. And above Your key responsibilities Support FinTech & VASP control Processes Assist in executing predefined controls for Fintech clients (e.g. PSPs, Marketplaces) Perform periodic blockchain address screening in blockchain analytic tools and conduct initial financial crime risk-related assessment thereof Use blockchain analytical tools to generate standardized screening reports and flag potential financial crime-related risks for further review Non-Client Counterparty Due Diligence Support Gather preliminary information on non-client counterparties. Perform or assist in initial financial crime and reputational risk assessment on non-client counterparties Maintain organized records of non-client counterparty risk reviews and escalate as in pre-defined process. Data & Reporting Assistance Compile and organize data for risk report, using tools like Excel or BI platforms (e.g. Tableau) Support team lead in data visualization or summaries to highlight trends and anomalies. Assist in maintaining lists of clients, non-client counterparties and responding to relevant internal enquiries Your skills and experience 2 years of experience in risk, compliance, operations, or a related field. Analytical mindsetability to interpret basic datasets, identify patterns, and ask questions to clarify ambiguity Basic proficiency in Excel and willingness to learn new tools Strong organizational skills and attention to details Experience in blockchain analytical tools (e.g. Chainalysis) is a plus Experience in Fintech, Blockchain technology is a plus Familiarity with global regulatory frameworks for VASPs is a plus (e.g. EUs MiCA, Singapores PSA) Experience in KYC processes, Transaction Monitoring is a plus Experience in payments is a plus Proficiency in data analysis tools is a plusAdvanced Excel, SQL, or BI Platforms (e.g. Tableau) How we'll support you Training and development to help you excel in your career. Coaching and support from experts in your team. A culture of continuous learning to aid progression. A range of flexible benefits that you can tailor to suit your needs. About us and our teams Please visit our company website for further information: https://www.db.com/company/company.ht We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively. Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group. We welcome applications from all people and promote a positive, fair and inclusive work environment.

Requirement Gathering & Analysis:Working with stakeholders to understand business needs and translating them into specific requirements for Replicon implementation or configuration. Solution Design & Implementation:Designing and implementing Replicon solutions that meet the identified requirements, including configuration, customization, and integration with other systems. Data Analysis & Reporting:Analyzing data generated by Replicon to identify trends, patterns, and areas for improvement, and providing insights through reports and dashboards. Process Optimization:Identifying and implementing processes to streamline operations and improve efficiency using Replicon features. Primary Skills Familiarity with Replicon modules (e.g., Time & Expense, Projects, Resources), understanding of ERP environments, and proficiency in data analysis tools like Excel. A strong understanding of business principles, industry best practices, and project management methodologies. Problem-Solving & Analytical Thinking:Ability to identify and resolve issues, and to develop data-driven solutions Skills (competencies) Verbal Communication

We are looking for a Forensic Data Analyst to join the Forensics, Litigation & Valuation Services Department In this role, you will be responsible forWorking with a team to perform forensic accounting, internal investigations, litigation support, regulatory-driven and other consulting matters on a wide range of entities across industries Assisting in solving complex client problems using data Managing the production and analysis of large amounts of structured and unstructured data from a variety of sources Leading execution of quality control activities such as performing data integrity checks of client data received, identifying any gaps, and communicating timely any issues that arise Assisting in preparing reports and presenting the results in a clear and concise manner to senior management and board members Mentoring, training and supervising junior staff Cultivating and maintaining long-term client relationships and professional networks Actively leading and participating in business development activities including proposals, presentations, publications, and other interactions with current and prospective clients QualificationsB A /B S /B B A /Master’s in Computer Science or related field Additional coursework or work experience in finance, accounting, business preferred Completed or actively pursuing CPA, CFE, CFF, CAMS or related certification Have 2-4 years recent forensic experience, preferably in a professional services environment Domain knowledge and experience with financial regulators (eg, CFPB, SEC, FINRA, state securities regulators) a plus Demonstrated technical skills, includingHighly proficient in SQL, Python, R, or related data analysis tools Experience with data visualization tools such as Tableau, Power BI Familiarity with machine learning techniques and statistical analysis Excellent project management and organizational skills Excellent verbal and written communication skills Demonstrate an ability to be a self-starter, manage staff and work cooperatively with team members

Back Key Responsibilities Identify network problem areas and evaluate/implement solutions to improve customer experience, network quality and performance Design new sites using simulated coverage analysis based on radio propagation software (Planet, Atoll) Evaluate and select new site candidates Design antenna configuration for new sites & site upgrades (antenna selection, elevation, orientation, tilt, and SC6 compliance) Configure datafill & integrate new sites into the existing network Assess impact using network KPIs, customer experience metrics and other key indicators to demonstrate benefit to customer Produce required technical documentation to demonstrate impact on customer experience from introduction of new site / site upgrade Create Installation Work Orders to enable implementation of site solution Identify automation opportunities and laison with right team members to deliver automation capability in order to improve efficiency within Wireless Engineering and Operations Required qualifications to be successful in this role Minimum of 5-7 years experience in radio network design and optimization focused on 5G and LTE technologies Deep working knowledge and experience on different RAN technologiesHSPA/UMTS, LTE, 5G NSA/SA In-depth knowledge and hand-on skills on Network Management Systems (Nokia NetAct, Ericsson ENM, Huawei U2020) In-depth knowledge and hand-on skills using Actix Analyzer and DriveTest Analysis Tools Business acumen to assess value and impact from the work Additional Information Job Type Full Time Work ProfileHybrid (Work from Office/ Remote) Years of Experience5-7 Years LocationBangalore What We Offer Competitive salaries and comprehensive health benefits Flexible work hours and remote work options Professional development and training opportunities A supportive and inclusive work environment

About Us: Soul AI is a pioneering company founded by IIT Bombay and IIM Ahmedabad alumni, with a strong founding team from IITs, NITs, and BITS We specialize in delivering high-quality human-curated data, AI-first scaled operations services, and more Based in SF and Hyderabad, we are a young, fast-moving team on a mission to build AI for Good, driving innovation and positive societal impact We are seeking a skilled Market Research Analyst with a minimum of 2 years of experience to join us as a freelancer and provide actionable insights to support data-driven marketing strategies and business decisions Key Responsibilities: Conduct primary and secondary research to gather market data and trends Analyze customer behavior, competitor strategies, and market dynamics Prepare reports and presentations with insights and recommendations for the team Assist in identifying new market opportunities and areas for growth Required Qualifications: 2+ years of experience in market research and analysis Strong knowledge of data collection methods and analysis tools (e g , SPSS, Excel) Excellent analytical, communication, and presentation skills Why Join Us Competitive pay (‚1200/hour) Flexible hours Remote opportunity NOTEPay will vary by project and typically is up to Rs 1200 per hour (if you work an average of 3 hours every day that could be as high as Rs 180K per month) once you clear our screening process Shape the future of AI with Soul AI!