Data Visualization Jobs in Mumbai

Job Title: Executive CRM MIS Location: Mumbai Experience: 2 3 Years Role Overview: We are seeking a detail-oriented CRM MIS Executive to manage and analyze CRM data, generate insightful MIS reports, and support the CRM team in driving data-backed decision-making. The role is critical in maintaining accurate customer data and providing timely reports that enhance customer relationship strategies and sales performance. Key Responsibilities: Manage and maintain the CRM database to ensure data accuracy, completeness, and timely updates. Generate regular and ad hoc MIS reports on customer interactions, sales metrics, and CRM campaign performance. Analyze CRM data to identify trends, customer behavior patterns, and opportunities for business growth. Collaborate with the CRM team and other departments to support data-driven strategies and improve customer engagement. Assist in troubleshooting and resolving CRM system issues in coordination with IT and software vendors. Ensure compliance with data privacy and security standards while handling customer information. Continuously improve reporting templates and processes for efficiency and clarity. Qualifications & Skills: Bachelor s degree in Business Administration, Marketing, IT, or a related field. 2 3 years of experience working with CRM systems and MIS reporting, preferably in real estate or related industries. Proficiency in CRM software (e.g., Salesforce, Zoho CRM) and MS Excel (advanced level). Strong analytical skills with the ability to interpret data and generate actionable insights. Excellent attention to detail and organizational skills. Good communication and teamwork abilities. Basic understanding of data privacy regulations and best practices. Qualification : Bachelors degree in Business Administration, Marketing, IT, or a related field

Data Scientist Location: Mumbai Experience: 2 7 years Employment Type: Full-Time About the Role We are looking for a highly skilled and motivated Data Scientist to join our team in Mumbai. The ideal candidate will have a strong background in data science, machine learning, and big data technologies, with the ability to draw actionable insights from complex data sets. If you're passionate about solving real-world problems using data and AI, and thrive in a fast-paced, collaborative environment we want to hear from you. Key Responsibilities Design and implement processes to collect and aggregate data from multiple sources. Clean, normalize, and prepare large datasets for analysis. Apply statistical methods and machine learning techniques to uncover insights and drive business decisions. Build scalable data pipelines and frameworks to manage large volumes of data. Work cross-functionally to develop innovative products, reports, and features aligned with business needs. Translate analytical findings into clear, actionable recommendations. Desired Candidate Profile 2 7 years of relevant experience in data science or related fields. Proficiency in Python, R, and SQL. Strong grasp of machine learning, AI, and natural language processing (NLP). Experience with big data technologies and handling large datasets. Excellent knowledge of algorithms, mathematics, and statistics. Ability to thrive in a dynamic, challenging environment. Strong problem-solving and communication skills. High attention to detail and analytical rigor. Opportunity to work on cutting-edge data-driven solutions. Collaborative and innovative work culture. Chance to shape impactful products and features in real-world applications. Career growth and learning in advanced data technologies and AI.

Deputy Vice President Data Science Location: Mumbai Function: Technology Digital and Data Sciences Employment Type: Full Time Experience: 9-10 years Key Responsibilities AI & Machine Learning: Design, develop, and deploy machine learning models for predictive analytics, natural language processing (NLP), computer vision, and recommendation systems. Lead end-to-end AI project lifecycles, including model validation, production deployment, and ongoing optimization using frameworks such as TensorFlow, PyTorch, and scikit-learn. Stay abreast of the latest advancements in Generative AI and foundational models, evaluating their applicability and integration within business solutions. Collaborate with cross-functional teams to identify AI use cases and deliver tangible business impact. Data Science & Analytics: Drive the entire analytics lifecycle, from data exploration and modeling to delivering actionable insights and developing data-driven products. Partner with data engineers and analysts to develop scalable, impactful solutions that support business objectives. Leadership & Strategy: Mentor and develop junior data science professionals, fostering a culture of continuous learning and innovation. Contribute to the organization s AI and cloud strategy by helping define the roadmap and setting long-term vision. Cloud Architecture & Engineering: Architect and design scalable, cloud-native AI and data platforms primarily on Google Cloud Platform (GCP), with knowledge of AWS and Azure as alternatives. Optimize data pipelines and machine learning workflows using cloud services such as Vertex AI, SageMaker, or Azure ML. Ensure the design and implementation of secure, cost-effective, and scalable architectures supported by robust CI/CD pipelines.

Position: IQ Analytics Manager CD COE Location: Mumbai Experience Required: 5+ Years Function: Analytics / Business Intelligence / Decision Sciences About the Role As an IQ Analytics Manager, you will play a critical role in driving business growth by uncovering the key levers that influence commercial KPIs. You ll develop and scale data-driven models that influence strategic decision-making for senior leadership, combining technical depth with business acumen to deliver actionable insights. Your work will directly support projects that enhance performance, efficiency, and execution within the CD (Customer Development) Centre of Excellence. Key Responsibilities Analytics & Insight Development Conduct in-depth quantitative analyses to understand drivers behind key commercial KPIs. Translate data into actionable insights that impact decision-making across product and business teams. Build causal and predictive models to diagnose performance issues and suggest improvement strategies. Stakeholder Collaboration Partner with product managers, commercial leads, and functional stakeholders to embed analytics into decision-making. Communicate key business trends and insights to senior leadership using structured storytelling backed by data. Solution Integration Design scalable, production-ready analytical solutions integrated into business and product workflows. Continuously monitor performance of deployed models and evolve them based on real-time business changes. Qualifications & Experience Bachelor's degree in Engineering, Computer Science, Statistics, Mathematics, or a related discipline from a reputed institute. (MBA from a top-tier institute is a plus.) Minimum 5 years of relevant experience in analytics, business intelligence, or data science roles. Core Competencies Strong business acumen with the ability to translate data into strategy. Proactive and self-motivated with a strong sense of ownership and accountability. Comfortable navigating ambiguity and driving clarity through data. Excellent communication, presentation, and storytelling skills. Ability to adapt and respond to dynamic business environments and shifting priorities. Technical Skills Required Strong command of SQL, Python, and Excel Proven expertise in statistical modelling, AI, and machine learning (including supervised & unsupervised methods) Experience in building and deploying machine learning models at scale Proficiency in data visualization tools such as Power BI, Tableau, QlikView, or Google Data Studio Work at the intersection of analytics, technology, and business strategy High-impact role with direct visibility to senior leadership Be part of a dynamic team that values innovation, ownership, and continuous learning Opportunity to solve real-world business problems at scale Qualification : Bachelor's degree in Engineering, Computer Science, Statistics, Mathematics, or a related discipline from a reputed institute

Job Title: Senior Manager Data Analytics Department: PDM Strategy & International Business Base Location: Mumbai Reporting To: Head Strategy & Analytics / Senior Leadership Team Experience Required: 10 12 Years (Relevant experience in BI, data analytics, and team management) Qualification: Bachelor's or Master s Degree in Computer Science, Data Engineering, or related field Role Overview: The Senior Manager Data Analytics will lead end-to-end Business Intelligence (BI) initiatives, with a focus on building a robust and scalable reporting platform using Power BI and the MSBI stack. The role requires deep expertise in data visualization, team leadership, ETL development, and data architecture design. This position plays a key strategic role in transforming how data is used across the organization empowering faster, data-driven decisions across functions like Sales, Investments, Risk, Compliance, and HR. Key Responsibilities: 1. BI Project Delivery & Visualization Lead and ensure timely execution of BI and data analytics projects. Deliver actionable, real-time dashboards and reports for internal business teams. Transform existing Power BI platform into a world-class analytics and visualization hub. Create dashboards that are intuitive, engaging, and built for decision support. 2. Stakeholder Engagement & Strategy Alignment Collaborate with senior leadership and functional heads to understand business problems and convert them into analytical models and reporting tools. Serve as a thought partner and SME for business users across the SBIFM landscape. Present visualizations and insights to senior stakeholders to influence strategy. 3. Team Management Lead, mentor, and manage a team of 15 20 developers and analysts focused on MSBI and Power BI. Oversee day-to-day development tasks, performance reviews, and upskilling initiatives. Foster a data-driven culture and best practices in dashboard design and reporting. 4. Data Architecture & Engineering Design and optimize backend architecture for scalability and agility using ETL tools and data warehousing techniques. Ensure strong data governance, security, and quality standards across reporting systems. Implement real-time data pipelines and integration with cloud technologies such as Azure and Snowflake (desirable). 5. Cross-Functional Collaboration Work closely with multiple departments: Sales, Operations, Finance, Compliance, Risk, and HR. Drive continuous improvement in data access, quality, and utility for all functions. Create and maintain a centralized reporting infrastructure aligned with enterprise data strategy. 6. Business Impact & Decision Support Enable smarter and faster decision-making by delivering meaningful insights. Drive revenue growth and deal conversions through better business intelligence. Support predictive analytics, customer segmentation, and performance dashboards. Mandatory Technical Skills: MSBI Stack (SSIS, SSRS, SSAS) Power BI Advanced Dashboarding and Visualization ETL Development Tools Experience with report automation, KPI frameworks, and interactive dashboards Desirable Technical Skills: SQL Programming & Data Modeling Cloud Data Platforms: Azure, Databricks, Snowflake Familiarity with data lake concepts, CI/CD pipelines, and DevOps for data analytics Key Competencies: Leadership & Team Building Strong ability to manage cross-functional data teams Business Acumen Ability to understand and align data solutions to business strategy Communication Strong presentation and stakeholder management skills Analytical Thinking Problem-solving mindset with attention to data accuracy Project Management Ability to handle multiple projects in an agile environment Job Summary: The Senior Manager Data Analytics is a strategic leadership role focused on building and managing a robust data reporting ecosystem within SBIFM. This role blends technical expertise with business intelligence to deliver impactful analytics, drive operational efficiency, and support senior leadership in data-driven decision-making. A critical enabler of growth and innovation, this position is ideal for a high-performing individual who thrives at the intersection of technology, data, and business. Qualification : Bachelor's or Masters Degree in Computer Science, Data Engineering, or related field

Position: FP&A Manager Location: Mumbai, India (Andheri East and/or Turbhe) Division: Finance Employment Type: Full-Time, Onsite About Blenheim Chalcot Blenheim Chalcot is a leading global venture builder with over 25 years of experience creating and scaling SaaS businesses powered by Generative AI. With a portfolio of 60+ ventures across sectors such as financial services, education, health, and marketing, we leverage a global ecosystem including Scale Space in London, the Rajasthan Royals in Mumbai, and a go-to-market base in Austin. This ecosystem equips us with world-class talent, tools, and support to accelerate growth and build market-leading companies. Our Values Honesty and Integrity: Acting with transparency and trustworthiness. Resilience: Remaining optimistic and adaptable through challenges. Teamwork: Collaborating to elevate each other and deliver results. Innovation: Continuously seeking improvements and challenging norms. Deliver Results: Committing to high-quality work and keeping promises. Commercial Awareness: Driving value through smart financial decisions. Role Overview As FP&A Manager, you'll play a crucial role in driving the financial planning, analysis, and reporting functions to support strategic decision-making across the organization. This is a dynamic position requiring a proactive, data-driven mindset suited for a fast-paced, high-growth SaaS environment. You'll partner closely with business leaders to provide actionable insights, identify risks and opportunities, and enhance financial processes. Key Responsibilities Lead budgeting, forecasting, and long-range financial planning across multiple business units. Deliver insightful financial analysis, variance reporting, and performance tracking. Collaborate with business leaders to evaluate financial results and operational efficiency. Develop and maintain complex financial models to support scenario planning and investment decisions. Prepare monthly management reports, board presentations, and detailed variance commentary. Monitor KPIs and key business metrics, providing clear and actionable insights. Drive continuous improvements in FP&A tools, processes, and reporting systems. Communicate complex financial data effectively to both finance and non-finance stakeholders. About You 5+ years of experience in FP&A, corporate finance, or related roles. Professional finance qualification preferred (CIMA, ACCA, ACA, or equivalent). Expert Excel skills, including advanced formulas, pivot tables, and financial modeling. Experience with financial planning tools and SaaS/technology sector preferred. Ability to thrive in ambiguous, fast-moving environments and manage multiple stakeholders. Strong analytical skills with the ability to translate data into strategic insights. Excellent communication skills with professional written and spoken English. Self-motivated, adaptable, and able to work effectively under tight deadlines. Be part of a forward-thinking, AI-powered technology venture ecosystem. Work with senior leadership and cross-functional teams driving innovation. Competitive salary and opportunities for professional growth. Collaborative and supportive work environment focused on development. Recruitment Process We have a structured recruitment process to ensure we find the best fit for our team. This role is office-based at our Mumbai locations, fostering strong collaboration and community growth. If you are a strategic thinker passionate about finance and technology, and eager to contribute to high-impact decisions in a dynamic setting, we encourage you to apply!

Position: Data Analyst Location: Mumbai, India Division: Data & Analytics / Marketing About the Role As a Data Analyst within the Blenheim Chalcot portfolio and Oakbrook, you will be crucial in driving data-driven insights for our consumer lending business. You will analyze marketing performance across direct and third-party aggregator channels, helping optimize spend and strategy. Your work will involve building and maintaining dashboards (SQL, Power BI), monitoring campaign and product performance, and ensuring channel efficiency. Key Responsibilities Campaign & Channel Performance Analysis Track and analyze marketing campaigns (paid search, social, email, display, aggregators). Measure key conversion metrics: impressions → clicks → applications → approvals → disbursals. Identify underperforming campaigns/channels and recommend improvements. Aggregator Performance Monitoring Monitor lead volume, quality, and conversion rates from aggregators (e.g., Clear Score, Compare the Market). Benchmark aggregator ROI and provide actionable insights for partner management. Product Performance Tracking Analyze application, approval, and disbursal trends by product type. Segment performance by demographics, channel, and credit risk tiers (prime, near-prime, non-prime). Identify opportunities for product/pricing optimization. Dashboard Development & Reporting Design and maintain interactive dashboards using SQL and Power BI. Ensure data accuracy and real-time performance tracking. Present weekly/monthly reports and insights to marketing, finance, and product teams. Customer Journey & Funnel Analysis Analyze drop-off points in the customer journey. Collaborate with CRO and UX teams to improve application flows. Support A/B testing with data analysis. Marketing Data Governance Ensure campaign tagging and data standards across platforms (GA, CRM, ad networks). Collaborate with data engineering on data quality and pipeline improvements. About You Technical Skills: Advanced SQL skills (complex queries, joins, CTEs) on relational databases (Snowflake, Big Query, Redshift). Proficient in Power BI (dashboard design, KPI visualization, DAX calculations). Strong Excel/Google Sheets skills (pivot tables, VLOOKUP/XLOOKUP, array formulas). Data cleaning and preparation expertise; familiarity with Alteryx or Python/Pandas is a plus. Understanding of UTM tracking, campaign attribution models, and analytics platforms (Google Analytics, Adobe Analytics). Experience with A/B testing and statistical analysis. Familiarity with CRM and marketing platforms (Google Ads, Meta, email/SMS tools). Awareness of GDPR and data governance best practices. Non-Technical Skills: Commercial awareness in lending context (customer acquisition cost, ROI, bad debt rates). Ability to translate data insights for non-technical stakeholders (marketing, finance, compliance). Strong attention to detail and problem-solving mindset. Excellent time management balancing regular reporting and ad-hoc analysis. Curious and proactive in identifying trends and opportunities. Collaborative working style across marketing, product, risk, and data teams. About Blenheim Chalcot & Oakbrook Blenheim Chalcot is a world-leading digital venture builder with over 26 years of experience creating disruptive businesses in FinTech, EdTech, GovTech, and more. Our India team plays a vital role in our success, fostering innovation and entrepreneurship since 2014. Oakbrook, a fast-scaling FinTech venture in our portfolio, leverages advanced analytics and technology to provide personalized consumer lending solutions. We aim to simplify borrowing with fair, data-driven credit access tailored to individual customers. Join the world s leading digital venture builder. Work with a diverse, talented team in a culture of continuous learning and innovation. Opportunity to work on Gen AI-enabled cutting-edge solutions. A fun, open, and cricket-enthusiast environment (home of Rajasthan Royals IPL team!). 24 days annual leave + 10 public holidays. Private medical insurance for you and your family & life insurance coverage. Our Commitment We value diversity and inclusion, fostering a culture where everyone s skills and talents can thrive. We recruit, develop, and promote based on merit and competence, driven by curiosity and collaboration. Join us to make an impact in a data-driven, fast-paced environment.

Quantitative Data Analyst Location: Mumbai About QRT Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped QRT s collaborative mindset which enables us to solve the most complex challenges. QRT s culture of innovation continuously drives our ambition to deliver high quality returns for our investors. We are looking for an exceptional Quantitative Developer / Analyst to join the Data Search & Analytics team. In this role, you will work directly with the Research and Trading desks to improve their productivity and efficiency. Your future role within QRT This team is integral to the firm s success. As such, your responsibilities will include: Sourcing, designing and onboarding new datasets according to trading desks priorities Becoming an expert on QRT s internal tools to help the relevant desks efficiently, using data in production of trading systems Proactively solving data related problems in order to minimize time to production Managing the full lifecycle of data sourcing projects, which includes data acquisition/exploration/engineering, prototyping and production Your present skillset Advanced programming experience in Python. C/C++, C# is a plus 3+ years of experience as a Data Engineer/Analyst/Scientist Prior experience working with commodities data is a must Post-Graduate degree in Data Science, Computer Engineering, Mathematics or Statistics Capacity to work with autonomy within a global team (researchers and data engineers) Experience with Bloomberg/Reuters data ecosystems A keen interest in financial markets, data analysis, and programming Fast learner, intellectual curiosity, problem solver Ability to work in a high-performance, high-velocity environment Excellent communication skills, both written and verbal QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Quantitative Researcher Location: Mumbai Company: Qube Research & Technologies (QRT) Job Type: Full-Time Your Future Role at QRT As a Quantitative Researcher, your primary objective will be to develop high-quality predictive signals by analyzing large and diverse datasets to identify statistical patterns and trading opportunities. You will collaborate closely with fellow researchers to share methodologies, data sets, and results, contributing to the continuous improvement of QRT s global execution platform. Monitoring and refining model performance over time will be key to maintaining the effectiveness of your strategies. Key Responsibilities Develop and validate predictive signals using advanced quantitative techniques. Analyze large datasets across multiple time frames to uncover meaningful patterns and opportunities. Collaborate with other researchers to share insights, methodologies, and datasets. Implement trading signals and integrate relevant datasets within QRT s execution platform. Continuously monitor signal behavior and model performance, making improvements as needed. Your Present Skillset Advanced degree in a quantitative discipline such as Data Science, Statistics, Mathematics, Physics, Engineering, or a related field. Proficiency in at least one programming language commonly used in quantitative research (e.g., Python, R, Matlab, C++, C#). Strong foundation in statistics, machine learning, NLP, or AI techniques is an advantage. Experience working with large datasets and conducting analysis across multiple time frames is a plus. Ability to multitask effectively in a fast-paced environment while maintaining attention to detail. Intellectual curiosity and a passion for solving complex problems by exploring new data sources and innovative methods. Capacity to work autonomously while contributing positively within a collaborative team environment.

Quantitative Researcher Macro Location: Mumbai Company: Qube Research & Technologies (QRT) Job Type: Full-Time About QRT QRT is a global quantitative and systematic investment manager operating across all liquid asset classes worldwide. We leverage technology, data, and research combined with trading expertise to solve complex challenges and generate high-quality returns for our investors. Our culture of innovation and collaboration drives our ambition to remain at the forefront of quantitative investing. Your Future Role within QRT As a Quantitative Researcher specializing in Macro strategies, you will lead the end-to-end research process from signal generation through implementation. Your primary goal will be to develop high-quality predictive signals by analyzing large and diverse macroeconomic datasets, identifying statistical patterns and investment opportunities. You will collaborate globally with researchers, data scientists, technologists, and traders to share methodologies and improve strategy performance over time. Key Responsibilities Lead full-cycle strategy research: signal generation, testing, implementation, and ongoing monitoring. Analyze large, diverse datasets to identify meaningful macroeconomic statistical patterns and opportunities. Collaborate and communicate research results, data sets, and processes with global teams. Integrate signals and datasets into QRT s global execution platform. Continuously track and optimize model performance within your strategies. Your Present Skillset Minimum 3 years of relevant experience with a proven track record in systematic strategy development. Advanced degree in a quantitative field such as Data Science, Statistics, Mathematics, Physics, Engineering, or related disciplines. Strong knowledge of statistics, machine learning, NLP, or AI techniques is advantageous. Proficiency in at least one major programming language (Python, R, Matlab, C++, C#). Experience analyzing large datasets across multiple time frames is a plus. Ability to multitask and maintain high attention to detail in a fast-paced environment. Intellectual curiosity and problem-solving mindset to explore new data sources and innovative research processes. Ability to work independently while contributing effectively within a collaborative global team. Excellent communication skills to engage with technologists, data scientists, and traders worldwide. Equal opportunity employer fostering a diverse and inclusive workplace. Empowering employees to work openly and respectfully for collective success. Comprehensive programs supporting healthy work-life balance alongside professional growth.

Job Title: Senior Analyst Insights & Analysis Location: Mumbai Company: DGS India About the Role As a Senior Analyst, you will deliver insightful analysis aligned with client business goals, manage client communications, and lead junior team members to exceed performance targets. Key Responsibilities Understand client needs and act as the primary interface between clients and internal teams, ensuring clear communication. Address questionnaire-related client issues and suggest effective solutions. Use market research tools and programming languages to design surveys and deliver high-quality data tables. Independently review and execute projects according to guidelines and tools. Assign tasks to junior team members and support them in survey programming. Maintain work schedules and project plans for timely delivery.

Job Title: Associate Analyst Insights & Analysis Location: Mumbai About the Role As an Associate Analyst, you will support the delivery of data analysis aligned with client business objectives. You will work closely with clients and internal teams to ensure high-quality execution of research projects and exceed performance targets. Key Responsibilities Understand client needs and maintain clear, effective communication between clients and internal teams. Discuss questionnaire-related issues with clients and propose practical solutions. Use specialized market research tools and programming languages to design surveys and deliver data tables that meet client requirements with quality and efficiency. Review project requirements and execute tasks under the guidance of senior team members, following established guidelines and using relevant tools and systems. Create and adhere to work allocation schedules and project plans to ensure timely delivery.

Job Title: Data Analyst Investment Team Location: Mumbai, India Company: BCI Finance (Part of Blenheim Chalcot Portfolio) Experience: 1 3 Years Department: Investment & Analytics Employment Type: Full-Time The Role: We are looking for a highly analytical and detail-oriented Data Analyst to join the Investment Team at BCI Finance, part of the Blenheim Chalcot portfolio. You ll play a key role in building models, conducting borrower-level data analysis, maintaining databases, and developing dashboards that directly influence investment decisions and credit strategies. This role offers exposure to real-world financial data, modern data platforms, and the chance to contribute to the next generation of GenAI-enabled FinTech businesses. Key Responsibilities: Run-Off Modelling Build and maintain run-off models to assess credit security against borrower portfolios. Contribute to quarterly IFRS9 provisioning through model updates. Conduct scenario and sensitivity analyses for new deal structures. Borrower Data Analysis Analyze loan-level performance to identify trends, risks, and concentration issues. Support investment memos with actionable credit risk insights. Maintain and update Power BI dashboards for borrower monitoring. Present emerging trends during monthly monitoring sessions. Data Management & Platform Development Upload and manage borrower data in a PostgreSQL database. Ensure data integrity and consistency across systems. Assist in developing Python-based analytics tools for internal users. Technical Stack: Required Skills Excel: Advanced skills for model building and financial analysis. Python: For analytics, data manipulation, and scripting. AI Tools: Familiarity with tools like ChatGPT and Cursor to enhance productivity. Nice-to-Have Skills SQL (PostgreSQL): For data extraction and management. Power BI: For creating dashboards and visual reporting. Note: Support in Python, SQL, and Power BI is available through the India team. About You: The ideal candidate thrives in fast-paced, data-driven environments and enjoys working cross-functionally. You're a problem-solver with a technical edge and a solid understanding of financial and investment principles. Qualifications & Experience: Bachelor's degree in a STEM field, Finance, or a quantitative discipline. Strong financial modeling and Excel experience. Working knowledge of Python and/or SQL. Basic understanding of credit risk and investment structures. Comfortable working with large, complex datasets. What We Offer: Competitive Compensation. Exposure to global FinTech investment processes. Learn directly from Blenheim Chalcot, the world s leading digital venture builder. Hands-on experience with GenAI tools and next-gen data platforms. Private medical insurance for you and your immediate family. Life insurance coverage. 24 days annual leave + 10 public holidays. A dynamic and fun culture (we own the Rajasthan Royals IPL team!). About BCI Finance: BCI Finance is a private credit-specialist investment manager under Blenheim Chalcot, focused on empowering high-growth FinTech companies through flexible, empathetic debt solutions. Known for its strong track record through the Credit Opportunities Fund, BCI blends rigorous credit analysis with innovative funding strategies. About Blenheim Chalcot: Blenheim Chalcot has been building digital businesses for over 26 years across FinTech, EdTech, GovTech, HealthTech, and more. With a team of 3,000+ and a presence in the UK and India, Blenheim Chalcot helps ventures scale by providing strategic expertise and operational support in technology, growth, talent, finance, and legal. Diversity & Inclusion: At Blenheim Chalcot, we re committed to creating an inclusive culture. We celebrate diversity and aim to empower all employees to achieve their full potential through equal opportunities and respect for all voices. Qualification : Bachelor's degree in a STEM field, Finance, or a quantitative discipline

Position: Assistant Manager/Manager MIS Experience Required: 4+ years Educational Qualification: Graduate (Commerce) / Post-Graduate (Finance) Key Responsibilities: MIS Development & Maintenance: Design, develop, and maintain the organization's Management Information System (MIS) to ensure timely and accurate data availability for decision-making. Data Management Policies: Develop and implement data management policies and procedures to ensure the integrity, security, and compliance of data with regulatory standards. Cross-Department Collaboration: Work closely with different departments to understand their data needs and provide guidance in establishing efficient processes for data collection, storage, and retrieval. Data Quality Assurance: Conduct regular data audits to identify and resolve issues, ensuring the data used for reporting and analysis is accurate and reliable. System Integration Management: Collaborate with IT teams and external vendors to manage system integrations and ensure smooth data interfaces between business applications. Location: Kalina, Mumbai (Work-from-Office) Prerequisites: Excellent verbal and written communication skills to engage with stakeholders at various levels. Strong knowledge of database management systems such as SQL and Oracle (additional knowledge is a plus). Proficient in data analysis tools and software, including Microsoft Excel, Power BI, or Tableau. Solid expertise in database management and data analysis.

Position: Machine Learning Engineer Location: Vile Parle, Mumbai, Maharashtra, India Job Type: Full-Time About the Role: We are seeking an experienced Machine Learning Engineer to lead our efforts in developing Artificial Intelligence (AI) and Natural Language Processing (NLP) based products. You will be responsible for creating machine learning models, retraining systems, and building self-learning applications. The role requires exceptional skills in statistics, programming, and an in-depth understanding of data science and software engineering. Your primary goal will be to shape and build efficient, self-learning applications that meet business objectives. Key Responsibilities: Model Development: Develop machine learning models that help achieve business objectives and establish metrics to track their progress. Resource Management: Manage resources such as hardware, data, and personnel to meet project deadlines. Algorithm Selection: Analyze and rank ML/NLP algorithms based on their likelihood of success in solving a given problem. Data Analysis: Explore and visualize data to understand its nature and identify potential issues that could affect performance when the model is deployed in real-world settings. Data Acquisition & Preparation: Supervise the data acquisition process and identify additional datasets if necessary. Define the data pre-processing and feature engineering strategies required. Model Training & Tuning: Train models, tune hyperparameters, and analyze model errors, implementing strategies to overcome them. Model Deployment: Deploy models to production and ensure they meet operational requirements. Skills and Qualifications: Experience: Minimum of 3 years of experience as an ML/NLP Engineer or in a similar role. Frameworks & Libraries: Proficiency in machine learning frameworks like Keras or PyTorch and libraries such as scikit-learn, pandas. Data Handling: Expertise in visualizing and manipulating large datasets. Text Representation: Deep understanding of text representation techniques like n-grams, bag of words, sentiment analysis, etc. OpenCV: Proficiency with OpenCV for image processing. Hardware Selection: Ability to select and manage hardware to run ML models efficiently, ensuring the required latency is met. Degree: A degree in Computer Science, Mathematics, Computational Linguistics, or a related field. Qualification : Degree in Computer Science, Mathematics, Computational Linguistics or similar field

AI/ML Developer Location: Mumbai Experience: 5+ years Key Responsibilities: AI/ML Solutions Development: Develop, deploy, and maintain scalable AI/ML solutions tailored to the healthcare industry. Data Preprocessing & Structuring: Collaborate with data engineers and analysts to preprocess, clean, and structure healthcare data for machine learning applications. Model Design & Implementation: Design and implement machine learning models for real-world healthcare challenges like patient readmission prediction, disease progression modeling, and medical image analysis. Production Integration: Integrate AI/ML solutions into production environments, ensuring models are efficient, reliable, and meet client goals. Client Collaboration: Work with healthcare clients to define project requirements and KPIs, ensuring the solution brings measurable value. AI/ML Advancements: Stay up to date with the latest advancements in AI/ML, particularly in healthcare, and integrate new techniques to improve solutions. Regulatory Compliance: Ensure all AI/ML applications meet healthcare regulations (e.g., HIPAA, GDPR) and maintain high standards for patient data privacy and security. Model Monitoring & Optimization: Monitor, fine-tune, and update models post-deployment to maintain optimal performance and adapt to evolving healthcare data. Requirements: Experience: 5+ years in AI/ML, deep learning, and machine learning applications, preferably in the healthcare industry. Technical Skills: Proficiency in Python and/or R, with experience in ML libraries like TensorFlow, PyTorch, Scikit-Learn, etc. Healthcare Data Expertise: Strong understanding of healthcare data types and sources (e.g., EHR/EMR data, claims data, imaging data, genomics). Cloud Platforms: Familiarity with cloud platforms (AWS, Azure, Google Cloud) and deploying ML models in these environments. Healthcare ML Use Cases: Experience in healthcare-specific ML use cases such as patient outcome predictions, medical image classification, and NLP for clinical notes. Regulatory Knowledge: Strong understanding of healthcare privacy and regulatory standards (e.g., HIPAA, GDPR). Communication Skills: Excellent problem-solving, analytical, and communication skills, with the ability to convey complex technical ideas to non-technical stakeholders. Shift Flexibility: Ready to work in shifts to accommodate the global nature of healthcare projects. If you're passionate about developing impactful AI/ML solutions in the healthcare industry and have the required expertise, apply now for the AI/ML Developer position in Mumbai!

Job Description: We are looking for a Murex Back Office Specialist with 3 to 7 years of experience, specializing in back-office processes and handling accounting issues. The ideal candidate will have a strong understanding of the Murex platform, particularly the Back Office (BO) stream, and possess expertise in managing post-trade processes, deal validation, nostro settlements, and accounting. As a Murex Back Office Specialist, you will be responsible for supporting key back-office functions, ensuring accurate deal validation, cashflow monitoring, settlement processing, and managing accounting configurations in the Murex platform. Responsibilities: Back Office & Accounting Management: Handle and resolve back-office and accounting issues, including managing change requests. Support with workflow handling, OSP rights, and usage for different asset classes. Business Requirements & Documentation: Prepare business requirement documents and manage developers for changes. Design layouts and pricing templates as per business requirements. Testing & Issue Resolution: Conduct test case executions, manage user testing, and implement system changes. Troubleshoot and debug issues, providing clear explanations to stakeholders. Configuration & Post-Trade Processing: Develop and configure OSP, settlement instructions, and accounting configurations for various products. Oversee deal validation, cashflow position monitoring, and nostro settlements. Reporting & Documentation: Generate reports and leverage OSP, static data, and deal bookings for testing and issue resolution. Manage confirmation and settlement documents, ensuring they are properly configured. Technical Skills & Qualifications: Capital Markets Knowledge: Strong understanding of capital markets and the trade life cycle. Murex BO Stream Knowledge: Hands-on experience with the Murex BO stream, especially in deal validation, cashflow position monitoring, nostro settlements, accounting, and OSP handling. SQL & Mx-Excel: Proficiency in SQL and Mx-Excel for testing, troubleshooting, and reporting. Post-Trade Rules & Configuration: Understanding of post-trade rules, document generation, and Swift/RTGS settlements in Murex. Asset Classes: Exposure to major asset classes and an understanding of how Murex handles these processes. Experience: 3 to 7 years of hands-on experience working with Murex in back-office processes. Proficiency in settlements, accounting, and configuration management in Murex. Experience with OSP, settlement instructions, and accounting configurations for various products. Synechron s Diversity & Inclusion Statement: Diversity and Inclusion are integral to Synechron's culture. We foster an environment where everyone is respected and valued. As an equal-opportunity employer, we encourage applicants from all backgrounds to apply. We are committed to ensuring our workforce is diverse, offering flexible work arrangements, internal mobility, and opportunities for development.

About This Role Business Unit Overview: The Marketing and Sales Operations (MSO) team is a key part of the US Wealth Advisory business. We partner with various teams, including Product Marketing, EII, Retirement, and Global Marketing. Our support model is centered around a Digital First mentality, enabling a scaled digital experience through the following offerings: Marketing Material Development and Updates Content Delivery & Management Reporting & Oversight Sales Support & Miscellaneous Web Publishing Job Purpose/Background: We are looking for an organized, detail-oriented, and enthusiastic communicator to help create, improve, and maintain content on market trends, portfolio construction, and practice management. This role will focus on the creation, improvement, maintenance, and publication of content across various media formats, including PowerPoint presentations, print/PDF documents, website content, web articles, and tools. The individual will collaborate closely with data providers, marketing, compliance, design, and web publishing teams to manage a robust content suite and ensure its effective delivery to BlackRock Sales, advisors, and end clients. The candidate will be able to manage multiple simultaneous projects, ensuring timely completion, while keeping an eye on the design and quality of content. Key Responsibilities: Create, Update, and Maintain Content: Sourcing and updating data, collaborating with design, working with the legal team for review/approval, and uploading content to websites and other dissemination platforms. Content Management: Monitor and manage content across platforms to ensure it is up-to-date, orderable, and available on both internal and external websites, and approved by partner firms. Website and Web Page Updates: Partner with the broader team and web publishing to enhance and execute updates to team web pages, including direct publication of small changes. Automation Tools: Use automation tools to assist in updating content and distributing it across relevant channels. Timely Delivery: Ensure all tasks are completed on time with high accuracy, meeting deadlines and managing workload efficiently. Process Improvement: Evaluate systems, processes, and procedures to identify inefficiencies and make recommendations for improvement. Collaboration: Assist with ad-hoc projects and work independently when required, while also assisting team members as needed. Qualifications: Educational Background: MBA or Bachelor s degree in Marketing, Finance, Communications, or Journalism. Technical Skills: Experience with Adobe Creative Suite, Power BI, VBA, SQL, Data Analytics, and CMS tools (e.g., TeamSite) is a plus. Industry Knowledge: 3+ years of experience in the investment/asset management industry is a plus. Familiarity with the growing demand for alternative investments and their role in diversifying against traditional fixed-income securities is beneficial. Skills and Competencies: Team Player: Excellent attitude with attention to detail, strong verbal/written communication skills, and the ability to collaborate with internal and external partners at all levels. Tech-Savvy: Eager to harness new techniques and tools to improve workflows, especially in reporting and content delivery. Adaptability: Comfortable with change and fast-paced, rapidly evolving work environments. Time Management: Highly organized with strong focus on meeting deadlines and managing multiple priorities. Data Integrity: Values the importance of quality data and strives to maintain its accuracy in all systems. Critical Thinking: Strong problem-solving skills and the ability to think critically when facing challenges. Flexible Shift Timings: Open to flexible work hours, as required. Our Benefits To help you stay energized, engaged, and inspired, we offer a wide range of benefits, including: Strong Retirement Plan Tuition Reimbursement Comprehensive Healthcare Support for Working Parents Flexible Time Off (FTO) to relax, recharge, and be there for the people you care about. If you're a self-motivated individual with a passion for content creation and management, and you're looking for a collaborative environment where you can make a significant impact, this role at BlackRock may be the perfect opportunity for you. Qualification : MBA or Bachelors degree in Marketing, Finance, Communications, or Journalism.

About Us At Quantiphi, technology is the foundation of our business, but our true strength lies in our global and diverse culture. We take pride in fostering an environment built on transparency, diversity, integrity, continuous learning, and growth. If you re looking for a workplace that encourages innovation and supports your growth both professionally and personally Quantiphi is the perfect fit for you. Role & Responsibilities As a Looker Developer, you will play a key role in building and maintaining data models, developing impactful visualizations, and ensuring optimal performance of our Looker platform. You will collaborate with stakeholders to transform complex data into actionable insights, empowering teams to make data-driven decisions. Key Responsibilities: Create and maintain LookML code to define data models, dimensions, measures, and relationships within Looker. Develop reusable LookML components to streamline and standardize dashboard creation. Design and customize dashboards with effective data visualizations (charts, graphs, etc.) to present insights clearly. Write complex SQL queries to extract and manipulate data as needed, optimizing for performance. Identify and resolve performance bottlenecks impacting report and dashboard loading times. Optimize Looker performance through query tuning, caching strategies, and exploring indexing options. Configure user roles and permissions to manage access and enforce data security best practices (including row-level and field-level security). Leverage Looker APIs, SDKs, and the extension framework where necessary to build custom solutions. Use version control tools like Git to manage LookML code changes and collaborate with development teams. Provide training and support to business users, enabling them to effectively leverage Looker for their analysis needs. Troubleshoot and resolve technical issues related to data models, reports, and dashboards. Skills & Experience Required Hands-on experience with LookML and a strong understanding of Looker s data modeling framework. Strong SQL skills with the ability to write and optimize queries across different SQL dialects (preferably GCP/BigQuery). Knowledge of data modeling best practices and practical experience in building efficient data models. Proficiency in ETL processes for data transformation and preparation. Ability to design visually compelling and user-friendly dashboards within Looker. Performance tuning expertise, including query optimization, caching strategies, and indexing. Familiarity with related tools such as BigQuery, Apache Spark, and Python for data transformations. Strong analytical and problem-solving capabilities. Knowledge of data governance principles to ensure data quality, privacy, and compliance. Excellent understanding of advanced Looker features such as liquid variables, complex derived tables, caching, and PDTs (Persistent Derived Tables). Strong troubleshooting skills to identify root causes and effectively resolve issues related to data modeling, queries, and dashboards. Willingness to stay updated with the latest features and advancements in Looker and data analytics. Nice to Have Experience creating end-to-end documentation for data models, processes, and reports. Familiarity with cloud platforms (GCP, AWS, or Azure) and their data ecosystems. Exposure to advanced scripting for automation and monitoring within the BI environment. If you re excited about working in a fast-paced, collaborative environment with a team of enthusiastic over-achievers, Quantiphi is the place to be!

Real Assets Data Analyst Job Description About the Role As a Real Assets Data Analyst at MSCI, you will be part of our Real Assets Data team, supporting real estate performance analysts in delivering real estate indexes, performance benchmarks, and customized analysis to global asset managers and asset owners. Key Responsibilities Track and monitor commercial real estate transactions from news sources and third-party data providers. Manage a portfolio of clients and/or funds, ensuring data accuracy and alignment with methodologies. Respond to client inquiries, analyze fund data, and apply necessary corrections based on MSCI s methodologies. Deliver custom performance analyses and reports as requested by clients. Collaborate with internal teams and local market experts to maintain high data quality and client satisfaction. Contribute to assigned projects, ensuring timely delivery. Identify opportunities for process improvements and drive operational efficiencies. Apply analytical and problem-solving skills to enhance workflows and processes. Skills & Qualifications Strong foundation in accounting and finance. Proficiency in MS Excel; knowledge of VBA or Python is a plus. Experience 0-4 years of experience in financial services or a related field. Education Bachelor s degree in finance, accounting, economics, engineering, or a related field. About MSCI MSCI is a leading provider of decision-support tools and services for the global investment community. With over 50 years of expertise in research, data, and technology, MSCI empowers clients to make better investment decisions by providing insights into risk, return, and portfolio transparency. Qualification : Bachelors degree in finance, accounting, economics, engineering, or a related field.