Hi Folks I hope you all are doing well! We are hiring for leading multinational investment company and the world's largest asset manage for the role of Compliance Analyst. Job description: Req: Compliance Analyst Location: Gurgaon Work model: Hybrid (4 days wfo, 1-day wfh) Interview preference: 2ROUNDS, 1 excel test Notice period: 30 days Duration: 6 months - extension depends on performance Shift timing: 10 am - 7 pm, 11 am - 8 pm, 12 pm - 9 pm Experience level: 2 - 5 years Must Have Skills: Transactional experience, heavy volume work, excellent communication, excellent with advanced excel Please source profiles with (Operational Compliance/Enterprise Compliance/Financial Compliance/Regulatory Compliance) Need someone who has excellent communication and can explain his /her work as per resume Note from manager Transactional Work: the manager emphasized that the roles are transactional, with candidates expected to handle heavy volumes of work. For example, reviewing pre-clearances and performing manual reconciliations. The candidates will be processing numbers like 300 to 500 alerts in a week, which means handling substantial workloads on a daily basis. Essential Job Functions: Assistance required with managing the Employee Compliance Operations and Policy and Advisory team in executing BAU Tasks, which includes: Reviewing Employee Disclosures: Examine employee disclosures of personal trading accounts and undertake necessary actions, such as initiating feed set-up formalities, account closure notifications, and performing routine follow-up on outstanding items. This includes account onboarding/set-up formalities with employees and/or brokers (e.g., completion of feed set-up consent formalities, managed account forms) and updating trackers to ensure accurate tracking of outstanding/in-progress volumes. Reviewing Post-Trade Exceptions: Identify potential non-compliance by reviewing post-trade exceptions and dispositioning such exceptions in accordance with relevant procedures while adhering to documentation standards. This involves thorough analysis and documentation to ensure compliance with regulatory requirements. Reviewing Employee Transactions: Review employee transaction confirmations and any quarterly statements requiring Employee Compliance team's review. Update employee holdings in the PTA system to ensure accurate record-keeping and compliance with internal policies. Reviewing Terminated Employee Accounts: Examine terminated employee accounts and ensure timely initiation of feed disconnection requests. This involves coordinating with relevant departments to ensure that all necessary actions are taken promptly. Resolving Personal Trading Data Issues: Resolve and reconcile any personal trading data issues, such as mismatches in account numbers or incorrect security set-ups, to address any data load errors. This requires attention to detail and effective problem-solving skills to ensure data integrity. Supporting the Employee Compliance Policy and Advisory Team: Assist in reviewing team mailboxes to ensure timely allocation of employee queries/requests based on the subject matter of the query/email. This involves prioritizing and categorizing queries to ensure efficient handling and resolution. Reviewing Mailboxes for Employee Responses: Review mailboxes to examine employee responses and update all relevant process trackers to accurately track closure/progress on outstanding items. This ensures that all actions are documented and tracked effectively. Routine Follow-Up: Conduct routine follow-up with employees for transaction confirmations and quarterly statements to ensure timely and accurate reporting. This includes maintaining communication with employees to verify transaction details and ensure compliance. This role requires a proactive approach to compliance management, strong analytical skills, and the ability to work collaboratively with global teams to ensure adherence to regulatory requirements and continuous improvement of compliance processes. Qualifications: Skills: Prior experience in compliance, risk management , or a related field within the financial industry or operations background is advantageous. Strong attention to detail, analytical skills, and problem-solving capabilities. Ability to multi-task and prioritize across multiple projects and assignments; must be able to deliver and meet timelines in a fast-paced global project environment. Strong communication skills Education: A relevant degree in finance, law, business, or a related field is helpful but not a pre-requisite. Please source profiles with (Operational Compliance/Enterprise Compliance/Financial Compliance/Regulatory Compliance) AML, KYC Need someone who has excellent communication and can explain his /her work as per resume Note from manager Transactional Work: the manager emphasized that the roles are transactional, with candidates expected to handle heavy volumes of work. For example, reviewing pre-clearances and performing manual reconciliations. The candidates will be processing numbers like 300 to 500 alerts in a week, which means handling substantial workloads on a daily basis. Must Have Skills Transactional experience, heavy volume work, excellent communication, excellent with advanced excel Interested candidates share their resume sweta@talentvidas.com
Job Title: Lead AWS Consultant Location: Jaipur - Hybrid Job Type: Full-Time Experience: 3+ Years Shift: 2-11pm IST Senior Cloud Engineer We are seeking a talented Senior Engineer with 3+ years of hands-on experience to join our growing Cloud Architecture & Engineering team. The right candidate is someone who has deep expertise building a variety of cloud solutions and is passionate about working with our customers, partners, and employees to drive the business forward. This role is suited for someone passionate about building robust, scalable solutions that drive business impact. The successful candidate will play a key role in the full software development lifecycle within the AWS ecosystem. This includes analyzing requirements, designing scalable solutions, writing clean and efficient code, integrating third-party systems, and ensuring performance and security best practices. The role involves close collaboration with cross-functional teams to ensure the delivery of impactful, user-friendly to deliver AWS cloud solutions across our diverse and innovative customer base. Youll work with the latest technologies and with disruptive customers looking to bring innovative ideas to the market. Roles & Responsibilities: Developing Infrastructure-as-Code (IaC) using Terraform, CDK, or Pulumi. Developing CI/CD pipelines. Working closely with customer engineers building the solutions described in the project backlog. Developing custom automation (Bash / Powershell / Lambda functions). Troubleshooting system and deployment issues. Mentoring and training engineers. Requirements Qualifications & Skills Bachelor's degree in Computer Science, Engineering, or a related technical field. 3+ years of experience as a Cloud Engineer, with a proven track record of delivering successful projects on the Cloud platform. Expert understanding of cloud infrastructure and implementing Infrastructure-as-Code (IaC). Expert understanding of working with, building CI/CD pipelines and GitOps methodology. Excellent knowledge of containerization, Kubernetes, or other container management platforms. Proficient in Networking and IAM security. Proficient with any of: Python, Go, C#, Node.js. Great understanding of Agile project delivery. Great verbal and written communication skills. Enthusiasm for working in a startup environment and the ability to be cross-functional. Possess a natural curiosity and excitement for learning new technology Experience in a some of the following: Migrations CICD IaC (Terraform, Cloudformation, AWS CDK, Pulumi, etc) Scripting Containers (Kubernetes, Docker, ECS, Fargate, etc) Cloud Security Best Practices Experience working in a client-facing environment. Experience working on agile projects. Consultancy/advisory experience. Willingness to work flexible shifts to support customers in different time zones.
Hi Folks I hope you all are doing well ! We are hiring for the one of the leading IT industry across the world for Sr, Data/Python Engineer role where we are looking for the person who is expertise in p ython, pandas/streamlit, SQL, Pyspark. Job Description: Job Title: Sr. Data/Python Engineer Location: Pan India- Remote Job Type: Full Time Job Summary: We are seeking a skilled and collaborative Sr. Data/Python Engineer with experience in the development of production Python-based applications (Such as Pandas, Numpy, Django, Flask, FastAPI on AWS) to support our data platform initiatives and application development. This role will initially focus on building and optimizing Streamlit application development frameworks, CI/CD Pipelines, ensuring code reliability through automated testing with Pytest , and enabling team members to deliver updates via CI/CD pipelines . Once the deployment framework is implemented, the Sr Engineer will own and drive data transformation pipelines in dbt and implement a data quality framework. Key Responsibilities: Lead application testing and productionalization of applications built on top of Snowflake - This includes implementation and execution of unit testing and integration testing - Automated test suites include use of Pytest and Streamlit App Tests to ensure code quality, data accuracy, and system reliability. Development and Integration of CI/CD pipelines (e.g., GitHub Actions, Azure DevOps, or GitLab CI) for consistent deployments across dev, staging, and production environments. Development and testing of AWS-based pipelines - AWS Glue, Airflow (MWAA), S3 Design, develop, and optimize data models and transformation pipelines in Snowflake using SQL and Python. Build Streamlit-based applications to enable internal stakeholders to explore and interact with data and models. Collaborate with team members and application developers to align requirements and ensure secure, scalable solutions. Monitor data pipelines and application performance, optimizing for speed, cost, and user experience. Create end-user technical documentation and contribute to knowledge sharing across engineering and analytics teams. Work in CST hours and collaborate with onshore and offshore teams. Required Skills and Experience: 4+ years of experience in Data Engineering or Python based application development on AWS (Pandas, Flask, Django, FastAPI, Streamlit) - Experience building data data-intensive applications on python as well as data pipelines on AWS in a must. Strong in python and Pandas Proficient in SQL and Python for data manipulation and automation tasks. Experience with developing and productionalizing applications built on Python based Frameworks such as FastAPI, Django, Flask (Strong Python Pandas,Flask, Django, FastAPI, or Streamlit experience Experience with application frameworks such as Streamlit, Angular, React etc for rapid data app deployment. Solid understanding of software testing principles and experience using Pytest or similar Python frameworks. Experience configuring and maintaining CI/CD pipelines for automated testing and deployment. Familiarity with version control systems such as Gitlab . Knowledge of data governance, security best practices, and role-based access control (RBAC) in Snowflake. Preferred Qualifications: Experience with dbt (data build tool) for transformation modeling. Knowledge of Snowflakes advanced features (e.g., masking policies, external functions, Snowpark). Exposure to cloud platforms (e.g., AWS, Azure, GCP). Strong communication and documentation skills. Interested Candidate share their resume on sweta@talentvidas.com
Position: Customer Success Account Manager - Digital Sales Business Unit: Global Business Direct Customer Segment: SMB- North Americas Location: Remote Experience: 2-12 Years Payroll: 12 Months contract. Contract is renewable upto 2 years. Great chances of becoming Fulltime with Client after 9 months depending upon performance. Shift starts from anytime between 6 to 9 PM IST and then go for 9 hours. Night shift. Graduation is must. CTC: 70% fixed, 30% variable. Notice: Upto max 60 days. Were on a mission to hire the very best and are committed to creating exceptional employee experiences. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours. The Art of Sales is changing The concept of selling has been around for decades, but businesses are digital now. The way sales are conducted must modernize too. In most companies, sales teams are somewhere on the journey below: (1) Sales scratches out their own leads by prospecting their networks, sending one-off or batch emails. (2) Marketing turns over long lists of leads, which are typically contacts in your target audience (3) Marketing has established a repeated process of generating MQL, SAL & SQL that yield some measurable returns. They sometime add lead scoring to this mix. On the other hand, we are a Modern Sales Team of 250+ Digital sellers, supported by analytics and data science teams. We are integrated with digital marketing & engagement funnel and are developing capabilities on picking cues from the customers demographic (who) & behavioral (what) data that they leave on their journey with our business to predict next ‘sales action’ that will lead to revenue conversions (Future state). The Challenge: We are looking for Digital Sellers who would be responsible for a defined patch of SMB customers and the role is pivoted around upselling and cross-selling Cloud based Solutions. You would be responsible for the Digital Media portfolio. The incumbent would be responsible for helping the customer adopt the solution with ease, optimizing their product experience and guiding them to internal support teams if need be. What you’ll do as a CSAM Develop understanding of Digital Media line of products and lead with value-led conversations with customers for these solutions. Create a value-based relationship with new & existing North American SMB customers. Drive Up-sell & Cross-sell by prioritizing accounts with highest propensity to buy by clearly defining ideal customer profile and contact them via phones & emails. Execute Marketing Qualified Leads with a defined SLA to maximize Revenue. Research customer contracts and purchasing history in various customer management systems & external sources such as LinkedIn, ZoomInfo, etc. to figure out the expansion opportunity in an account Managing the opportunity pipeline from week to week, providing accurate and timely updates to management on progress and outlook. Engage as required, with the supporting functional teams to resolve issues raised by customers related to their Creative Cloud Subscriptions. What you need to succeed SMB Segment exposure and proven ability to manage a large customer set 3+ Years’ experience in a similar role, with experience in selling SAAS solutions preferred Excellent communication Skills, both oral and written Flair for Technology and ability to lead a customer conversation with value-selling rather than product features pitch. Demonstrated ability to be a quick learner. Task oriented with focus and drive to complete tasks at hand. Strong organization, follow-through and documentation skills suitable for customer communication. International Sales Experience with exposure to NA markets preferably. Working hours will coincide with the US Time Zones Bachelor’s Degree or Equivalent Sincerely, Varun Vij | TalentVidas Director – Sales & Delivery +91-9891454410 My LinkedIn
Job Title: Data Consultant/ETL Consultant Experience Range: 2-4 Years Location: Jaipur Position Type: Full Time Shift: EMEA/USA-East (1400 PM - 2300 IST) Shift allowance: 9000/Month for EMEA Job Overview: We are seeking a Data Consultant (Sr. consultant role is also available and will be determined based on experience) to manage large data migration projects with nonprofit organizations and educational institutions. Successful candidates will ETL experts (i.e. Jitterbit, Informatica, Boomi, MuleSoft) able to demonstrate expert-level skills and knowledge in designing and implementing data migrations. Experience with Salesforce, NPSP, and EDA are a plus. Candidates should have a strong understanding of relational databases, SOQL, and SQL. Because much of the work of this role is client-facing, communication skills and a genuine interest in helping people is very important. The ability to collaborate with peers and clients while building consensus is also critical for success. Key Responsibilities: Serve as the lead data resource on Salesforce implementation projects Create and iterate on data conversion maps Evaluate, design, and implement data migration solutions for nonprofit and higher education clients Plan all aspects of iterative data migration and coordinate with the project manager to align with the overall project plan Maintain up-to-date, accurate knowledge of NPC and/or EDC Assess client business requirements to design architecturally-sound solutions Deliver on project assignments on time and within budget Perpetually contribute to the betterment of Cloud for Good Show a commitment to customer satisfaction Provide informal mentorship and facilitate knowledge-sharing and growth opportunities Be prepared to work in shifts to accommodate our global customer base across different time zones, including the AMER, APAC, and EMEA. Qualifications: Experience transforming and migrating data to Salesforce via data loading tools and ETL tools (e.g., Jitterbit, Informatica, Boomi, Mules), including creating initial data map At least 2+ years of consulting experience Strong understanding of relational database architecture, SOQL, and SQL Understanding of agile methodology Salesforce.com administrator certification (if not available will be required to complete within the onboarding period) Strong Salesforce configurationknowledge is a plus Familiarity working with nonprofitsand/or higher education institutions Strong consulting skills,communication, and teamwork/collaboration Proven track record of continuously improving organizations Preferred Skills: Strong time management skills Strong written and verbal communication skills Intellectual curiosity Passion forcontinuous learning Mentoring skills Presentation skills Interested candidate share their resume sweta@talentvidas.co
Role: Customer Success Manager - Digital Sales Experience: 3+ Years Location: Remote Responsibilities: It is 12 Months contract and Contract is renewable upto 2 years. Great chances of becoming Fulltime employee with one of leading IT Product based Organisation after 9 months depending upon performance. The Art of Sales is changing. The concept of selling has been around for decades, but businesses are digital now. The way sales are conducted must modernize too. In most companies, sales teams are somewhere on the journey below: (1) Sales scratches out their own leads by prospecting their networks, sending one-off or batch emails. (2) Marketing turns over long lists of leads, which are typically contacts in your target audience (3) Marketing has established a repeated process of generating MQL, SAL & SQL that yield some measurable returns. They sometimes add lead scoring to this mix. The Challenge: We are looking for Digital Sellers who would be responsible for a defined patch of SMB customers and the role is pivoted around upselling and cross-selling cloud-based solutions. You would be responsible for a portfolio of digital media products. What you'll do as a CSAM: - Develop understanding of our digital media products and lead with value-led conversations with customers. - Create a value-based relationship with new and existing North American SMB customers. - Drive up-sell and cross-sell by prioritizing accounts with highest propensity to buy. - Execute Marketing Qualified Leads with a defined SLA to maximize revenue. - Research customer contracts and purchasing history to figure out expansion opportunities. What you need to succeed: - SMB segment exposure and proven ability to manage a large customer set - 3+ years of experience in a similar role, with experience in selling SaaS solutions preferred - Excellent communication skills, both oral and written - Flair for technology and ability to lead customer conversations with value-selling - Strong organization, follow-through, and documentation skills Additional Requirements: - International sales experience with exposure to NA markets preferred - Working hours will coincide with US time zones - Bachelor's degree or equivalent Interested candidates share their resume: sweta@talentvidas.com
Job Overview: We are seeking a skilled Data Scientist with 4 to 12 years of experience, specializing in Machine Learning, PySpark, and Databricks, with a proven track record in long-range demand and sales forecasting. This role is crucial for the development and implementation of an automotive OEMs next-generation Intelligent Forecast Application. The position will involve building, optimizing, and deploying large-scale machine learning models for complex, long-term forecasting challenges using distributed computing frameworks, specifically PySpark on the Databricks platform. The work will directly support strategic decision-making across the automotive value chain, including areas like long-term demand planning, production scheduling, and inventory optimization. The ideal candidate will have hands-on experience developing and deploying ML models for forecasting, particularly long-range predictions, in a production environment using PySpark and Databricks. This role requires strong technical skills in machine learning, big data processing, and time series forecasting, combined with the ability to work effectively within a technical team to deliver robust and scalable long-range forecasting solutions. "The ideal resource should have a strong background in mathematics to effectively understand and work with complex optimization models. Key Responsibilities: Machine Learning Model Development & Implementation for Long-Range Forecasting : Design, develop, and implement scalable and accurate machine learning models specifically for long-range demand and sales forecasting challenges. Apply advanced time series analysis techniques and integrate them with machine learning models leveraging PySpark for data processing and model training on large datasets within the Databricks environment. Implement probabilistic forecasting methods using PySpark to capture uncertainty in long-range predictions. Develop robust solutions for hierarchical and grouped long-range forecasting on distributed data. Data Processing and Feature Engineering with PySpark : Build and optimize large-scale data pipelines for ingesting, cleaning, transforming, and engineering features relevant to long-range forecasting from diverse, complex automotive datasets using PySpark on Databricks. Deployment and MLOps o Databricks : Develop and implement robust code for model training, inference, and deployment of long-range forecasting models directly within the Databricks platform. Apply MLOps principles compatible with Databricks workflows for model versioning, monitoring, retraining, and managing the lifecycle of long-range ML forecasting models in production. Collaborate with Data Engineering and IT Operations to ensure seamless deployment and operational efficiency of the forecasting application on Databricks. Performance Evaluation & Optimization: Evaluate long-range forecasting model performance using relevant metrics (e.g., MAE, RMSE, MAPE, considering metrics suitable for longer horizons) and optimize models and data processing pipelines for improved accuracy and efficiency within the PySpark/Databricks ecosystem. Technical Collaboration: Work effectively as part of a technical team, collaborating with other data scientists, data engineers, and software developers to integrate ML long-range forecasting solutions into the broader forecasting application built on Databricks. Communicate technical details and forecasting results effectively within the technical team. Required Qualifications: Education: Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Applied Mathematics, or a closely related quantitative field. Experience: 3+ years of hands-on experience in a Data Scientist or Machine Learning Engineer role. Proven experience developing and deploying machine learning models in a production environment. Demonstrated experience in long-range demand and sales forecasting. Significant hands-on experience with PySpark for large-scale data processing and machine learning. Extensive practical experience working with the Databricks platform, including notebooks, jobs, and ML capabilities. Technical Skills: Expert proficiency in PySpark. Expert proficiency in the Databricks OR Snowflake or Oracle platform. Strong proficiency in Python and SQL. Experience with machine learning libraries compatible with PySpark (e.g., MLlib, or integrating other libraries). Experience with advanced time series forecasting techniques and their implementation. Experience with distributed computing concepts and optimization techniques relevant to PySpark. Hands-on experience with a major cloud provider (Azure, AWS, or GCP) in the context of using Databricks. Familiarity with MLOps concepts and tools used in a Databricks environment. Experience with data visualization tools. Analytical skills with a deep understanding of machine learning algorithms and their application to forecasting. Ability to troubleshoot and solve complex technical problems related to big data and machine learning workflows. Preferred Qualifications: Experience with specific long-range forecasting methodologies and libraries used in a distributed environment. Experience with real-time or streaming data processing using PySpark for near-term forecasting components that might complement long-range models. Familiarity with automotive data types relevant to long-range forecasting (e.g., economic indicators affecting car sales, long-term market trends). Experience with distributed version control systems (e.g., Git). Knowledge of agile development methodologies. Soft Skills: Collaboration: Ability to work effectively as part of a technical team. Communication: Clear and concise communication of technical details and forecasting results. Problem-Solving: Ability to tackle complex technical challenges and find efficient solutions. Learning Agility: Eagerness to learn and adapt to new technologies and methodologies within the PySpark/Databricks ecosystem and advancements in long-range forecasting. Ability to understand business needs related to long-term planning.