Key Responsibilities: Leverage traditional machine learning techniques (decision trees, random forests, SVM, logistic regression) to build predictive models. Analyze complex datasets to identify key trends and provide data-driven insights for business decisions. Partner with cross-functional teams to understand business needs and translate them into effective ML solutions. Rigorously evaluate and optimize models for accuracy and real-world performance. Apply statistical and mathematical principles to enhance analytical outcomes. Communicate findings and model insights to both technical and non-technical stakeholders. Desired Skills and Qualifications: Deep understanding of traditional machine learning algorithms (decision trees, clustering, Naive Bayes, SVM, etc.). Strong proficiency in mathematics and statistics (linear algebra, probability, statistical inference). Proven ability to translate business problems into analytical frameworks and actionable insights. Expertise in data processing, cleaning, and feature engineering using Python (pandas, NumPy). Hands-on experience building and deploying ML models using Python and libraries like scikit-learn. Excellent analytical, problem-solving, and critical thinking skills. Strong communication and collaboration skills to effectively convey technical results. Familiarity with ML tools and frameworks (Scikit-learn, XGBoost, LightGBM). Experience with model evaluation, validation, and optimization techniques. Business acumen and the ability to apply ML to solve real-world business challenges. Preferred Qualifications: Bachelors or Masters degree in Data Science, Statistics, Mathematics, Computer Science, or a related quantitative field. 3+ years of experience as a Data Scientist with a focus on machine learning. Demonstrated experience in driving business decisions through data analysis and modeling. Familiarity with cloud platforms (AWS, Azure, GCP) for data science workflows.

A Solution Architect with 15+ years of experience is a senior-level role responsible for designing complex solutions and overseeing their implementation to meet business needs. Proficient in designing, describing, and managing solution engineering to match with it specific business problems. Solution architecture defines how technology requirements ( application development, cloud infrastructure, DevOps ) would translate into implementation. Experience : 15+ years in IT, with at least 5 years on role of enterprise level solution architect (leading and mentoring development teams) Role and Responsibilities: Lead the design and development of innovative, effective, and high-performance technical solutions. Collaborate with business stakeholders and technical teams to understand requirements and develop solutions. Provide technical leadership and guidance to development teams throughout the project lifecycle. Evaluate and recommend technologies and tools to ensure successful project delivery. Ensure solutions are scalable, secure, and aligned with industry best practices . Define and document solution architecture , including system components and interfaces. Conduct technical reviews and audits to identify opportunities for improvement. Stay current with emerging technologies and industry trends to guide future strategy. Skills and Qualifications: Proven experience in designing and implementing complex IT solutions . Strong knowledge of enterprise architecture principles and methodologies . Expertise in a variety of technologies, including cloud computing (AWS Glue ETL), databases, and software development frameworks . Excellent communication and presentation skills, with the ability to explain technical concepts to non-technical stakeholders. Strong leadership and team-building skills, with the ability to motivate and inspire others. Experience working in an agile environment. Additional Requirements: Experience in the data analytics domain. ESG is plus. Certifications : AWS Certified Solutions Architect, or similar

Role Overview: We are looking for a Data Analyst with strong skills in SQL, data analysis, and visualization . This role involves working closely with stakeholders to gather business requirements, analyze data, and build dashboards that drive strategic decisions, especially across enterprise applications and operational functions. Key Responsibilities: Stakeholder Collaboration: Understand business needs across enterprise applications and translate them into structured data requirements. Data Analysis: Analyze large datasets to uncover trends, performance drivers, and actionable insights; integrate data from multiple sources for a holistic view. Dashboard Development: Design and build impactful dashboards and reports using Power BI or similar tools; ensure insights are clear, relevant, and business-ready. Prototyping: Use tools like Figma or Adobe XD for dashboard/workflow mockups and collaborate on design iterations. Enterprise Application Analytics: Deliver insights across business functionssuch as operations, finance, or CRM—supporting process optimization, performance tracking, and ROI measurement. Data Governance: Ensure data quality through rigorous checks; collaborate with data engineers on data pipelines and transformation logic. Self-Service Enablement: Build scalable frameworks that empower business users with self-service analytics. Collaboration & Mentorship: Work with cross-functional teams and mentor junior analysts to strengthen analytical capabilities. Must-Have Skills: Advanced proficiency in SQL , data analysis , and visualization (Power BI/Excel). Strong in data modeling , data blending , and working with large datasets. Experience presenting insights through clear, executive-ready PowerPoint decks . Exposure to prototyping tools (Figma/Adobe XD). Proven ability in requirement gathering and stakeholder engagement. Hands-on with enterprise data analytics across operational systems. Excellent communication and storytelling skills.

Role & responsibilities • Analysing company reporting documents to create pitchbooks, company profiles, information memorandums, sector reports, financial benchmarking and trading and transaction comps • Identifying potential targets/buyers for M&A deals • Working on Financial Models, DCF, LBO, and Football field analysis • Performing secondary research through the web and available databases to prepare investment decks • Interacting with the client for project coordination, • Be responsible for quality check and client deliverable • Managing a team of 7-10 analysts ROLES & RESPONSIBILITIES • At least 5 years of experience in Private Equity/Investment Banking • End to end knowledge of PE/IB deal and key products • Deep understanding of all investment banking products and requirements • Experience in preparing pitch books, profiles, screening for targets/ buyers, sector reports, trading and transaction comps, as well as investment memorandums • Proficiency in financial modelling, including detailed 3 statement forecasting, multiple scenario analysis, DCF valuation, capital structure modelling, LBO and merger modelling • Strong in working on unstructured and open-ended requests • Prior experience of working and communicating with clients and various stakeholders • Knowledge of databases such as Bloomberg, CapIQ, Pitchbook, Reuters, FactSet, and Merger market • Excellent in MS PowerPoint and MS Excel • Work with sales teams on business development activities • Participate in new client discussions, conduct workshops and demos • Transition new engagements from client site to SGA • Manage staffing and attrition for allocated teams • Conduct on the job and off the job trainings for the team members REQUIRED SKILLSET • MBA Finance / CFA level 2+ • Self-driven and Dynamic •Able to think out-of-box and come up with innovate ideas • Excellent written and oral communication skills in English • Results oriented, Problem-solving skills If you think you will meet our requirements, then we look forward to meeting you

About Us : SG Analytics (SGA), a Global Insights and Analytics company, focuses on ESG, Data Analytics, and Investment & Market research services. The company has a presence in New York, San Francisco, Austin, Seattle, Toronto, London, Zurich, Pune, Bengaluru, and Hyderabad and growing consistently for the last few years. SGA is a Great Place To Work (GPTW) certified company, and with its thriving work environment shaped by a growth mindset, abundant learning, and a meritocracy-driven culture, SG Analytics has also been awarded regional best employer in 2016, 2018 & 2020. Experience & Skills Domain Expertise 3+ years of experience in in manual testing Relevant higher educational and professional background with 5 years of relevant working experience Mandatory: Hands-on experience in the insurance domain—preferably Property & Casualty (P&C). Understanding of insurance products, coverages, rating logic, and regulatory documentation Quality Assurance Able to work independently and in a global team setup to take on initiatives with a positive attitude Strong manual testing skills, including writing and executing test cases, test planning, and regression testing. Experience in documentation testing for insurance policies and customer communications Agile Project Delivery Proven experience working in Agile/Scrum teams. Proficient in JIRA, Confluence, or equivalent Agile project and defect tracking tools Collaboration & Communication Effective communication skills to interact with developers, business users, and QA peers across regions. Ability to participate in cross-functional meetings and support project-level QA planning and reporting.

We need a strong business analyst who can work independently and manage a small team of people. They need to have a background working in financial domain, and ideally a background in data management. Requirements Experience leading teams of Business Analysts/ Data Analysts. Experience of working as a Business Analyst for a product. Experience in leading the solution designing and discussions. Experience with SQL, analysing large data sets, API's. Experience in understanding ETL workflows and coming up with BRD's and FRDs EXPERTISE AND QUALIFICATIONS 3 to 5 years of experience working as a business analyst within the Financial Sector (ideally into Banking) Understanding of risk, finance and banking processes. Ability to understand business processes, analyze as-is processes, develop new to-be processes in order to drive operational efficiency. Read and interpret data models, ETL processes, strong Data Analysis is a must Strong relationship management skills, consultative skills and client-facing experience. Work independently on small to large and complex projects without the need for supervision. Provide honest assessment to stakeholders of the expected delivery date of the problem resolution to ensure consistency with their expectations.

We are looking for an experienced Senior Product Manager to drive the vision, strategy, and execution of our digital products. You will collaborate with cross-functional teams to deliver impactful solutions aligned with business goals. Key Responsibilities Define and manage the product roadmap based on business and customer needs. Translate business requirements into user stories and technical specifications. Prioritize the product backlog and lead Agile ceremonies (sprint planning, grooming, retrospectives). Collaborate with engineering, design, QA, and operations teams. Monitor product performance and iterate based on data and feedback. Ensure timely, high-quality product releases and manage stakeholder communication. Conduct impact analysis, risk assessments, and support UAT/QA processes. Required Qualifications Bachelors in Engineering/Computer Science; MBA preferred. 913 years of experience, including 5+ years in product ownership or management. Strong knowledge of Agile/Scrum, SDLC, and cloud technologies. Proficient in tools like JIRA, Confluence, and SQL. Excellent analytical, communication, and stakeholder management skills. Preferred Skills Experience with enterprise applications, BI tools (Power BI, Tableau), and cloud platforms (AWS, Azure, GCP). Familiarity with AI/ML, RPA, and automation. Certifications: CBAP, CCBA, PMI-PBA, or similar.

About Us : SG Analytics (SGA), a Global Insights and Analytics company, focuses on ESG, Data Analytics, and Investment & Market research services. The company has a presence in New York, San Francisco, Austin, Seattle, Toronto, London, Zurich, Pune, Bengaluru, and Hyderabad and growing consistently for the last few years. SGA is a Great Place To Work (GPTW) certified company, and with its thriving work environment shaped by a growth mindset, abundant learning, and a meritocracy-driven culture, SG Analytics has also been awarded regional best employer in 2016, 2018 & 2020. Experience & Skills Domain Expertise 3+ years of experience in in manual testing Relevant higher educational and professional background with 5 years of relevant working experience Mandatory: Hands-on experience in the insurance domain preferably Property & Casualty (P&C). Understanding of insurance products, coverages, rating logic, and regulatory documentation Quality Assurance Able to work independently and in a global team setup to take on initiatives with a positive attitude Strong manual testing skills, including writing and executing test cases, test planning, and regression testing. Experience in documentation testing for insurance policies and customer communications Agile Project Delivery Proven experience working in Agile/Scrum teams. Proficient in JIRA, Confluence, or equivalent Agile project and defect tracking tools Collaboration & Communication Effective communication skills to interact with developers, business users, and QA peers across regions. Ability to participate in cross-functional meetings and support project-level QA planning and reporting.

Job Overview: We seek a highly skilled and motivated Data Engineer with strong expertise in Python, PySpark, AWS, Databricks, and Snowflake to join our dynamic team. The ideal candidate should have hands-on experience with Spark optimization, SQL data processing, and AWS tools and technologies . Exposure to Informatica and data streaming tools is a plus. Key Responsibilities: Design, develop, and optimize scalable data processing pipelines using Spark and PySpark. Implement Spark optimization techniques to enhance performance and efficiency. Work with complex SQL queries for data manipulation and transformation. Collaborate with data scientists, analysts, and engineering teams to meet data needs. Work on AWS Cloud services like Redshift, AWS Glue, SQL Server, and Databricks. Utilize Python for data processing tasks, ensuring modularization and packaging. Basic knowledge of Informatica. Engage in real-time data streaming and integration using tools such as NiFi, Kafka, and EventHub (optional but preferred). Hands-on experience with Snowflake for data warehousing and analytics. Must Have Experience _ Python, Pyspark, SQL, AWS, Spark Required Skills: Spark Expertise: Strong experience in Spark and PySpark, including optimization techniques. Complex SQL: Advanced SQL knowledge and data processing skills. Cloud Exposure: Familiarity with AWS services and Databricks. Python Proficiency: Experience with Python for data processing and scripting. Data Streaming: Experience with NiFi, Kafka, and EventHub is desirable. Snowflake: Hands-on experience with Snowflake for data warehousing and analytics. Qualifications: Bachelors or Masters degree in Computer Science, Information Technology, or related fields. 4-8 years of professional experience in Data Engineering, Data Analytics, or related roles.

Role & responsibilities Collaborate with stakeholders to enhance Issuer Services' data management framework. Define and promote data principles, standards, and best practices. Represent the Data Office in enterprise-wide data initiatives. Identify key data attributes and implement quality controls. Support data governance tools, processes, and continuous improvement. Provide guidance on data governance issues and resolutions. Work with business and tech teams on analysis, documentation, and data roadmaps. Evaluate and recommend objectives to advance data management services. Preferred candidate profile Strong stakeholder, team, and project management skills. Experienced in Agile (scrum, sprint planning, backlog refinement). Solid background in data governance, management, and best practices. Skilled in enterprise data processes, database, and schema design. Excellent communication, problem-solving, and leadership abilities. Tools: Collibra, Solidatus, Excel; large data sets. Domain experience in banking/financial services, especially issuer services.

Role & responsibilities Analysing company reporting documents to create pitchbooks, company profiles, information memorandums, sector reports, financial benchmarking and trading and transaction comps Identifying potential targets/buyers for M&A deals Working on Financial Models, DCF, LBO, and Football field analysis Performing secondary research through the web and available databases to prepare investment decks Interacting with the client for project coordination, Be responsible for quality check and client deliverable At least 4 years of experience in Private Equity/Investment Banking End to end knowledge of PE/IB deal and key products Deep understanding of all investment banking products and requirements Experience in preparing pitch books, profiles, screening for targets/ buyers, sector reports, trading and transaction comps, as well as investment memorandums Proficiency in financial modelling, including detailed 3 statement forecasting, multiple scenario analysis, DCF valuation, capital structure modelling, LBO and merger modelling Strong in working on unstructured and open-ended requests Prior experience of working and communicating with clients and various stakeholders Knowledge of databases such as Bloomberg, CapIQ, Pitchbook, Reuters, FactSet, and Merger market Excellent in MS PowerPoint and MS Excel Work with sales teams on business development activities Participate in new client discussions, conduct workshops and demos Transition new engagements from client site to SGA Manage staffing and attrition for allocated teams Conduct on the job and off the job trainings for the team members REQUIRED SKILLSET MBA Finance / CFA level 2+ Self-driven and Dynamic Able to think out-of-box and come up with innovate ideas Excellent written and oral communication skills in English Results oriented, Problem-solving skills If you think you will meet our requirements, then we look forward to meeting you

SG Analytics, a Great Place to Work (GPTW) certified company, is one of the leading research and analytics firms to offer datacentric research and contextual analytics services to companies across BFSI, Media & Entertainment, Technology & Healthcare sectors including Fortune 500 companies. With a presence in the US, the UK, Switzerland, and India (Pune, Hyderabad, Bangalore), SG Analytics has been consistently meeting and exceeding customer expectations by its knowledge-based ecosystem and impact-oriented solution. Key Responsibilities: Search Engine Optimization (SEO) • Conduct on-page and off-page SEO audits; optimize content, meta tags, and site structure. • Perform keyword research and develop SEO strategies aligned with content and growth goals. • Manage technical SEO including crawlability, page speed, structured data, and indexation. • Collaborate with content and development teams to implement SEO best practices. Paid Advertising • Manage and optimize Google Ads, LinkedIn Ads, and other relevant B2B ad platforms. • Monitor performance, test creatives/targeting, and ensure ROI-driven campaigns. • Develop retargeting strategies to nurture leads through the funnel. Email Marketing • Plan, execute, and optimize email campaigns for lead nurturing and customer engagement. • Segment lists, set up automation workflows (using tools like HubSpot, Mailchimp, etc.). • Analyse open rates, CTRs, and conversions to optimize performance. Website Management • Oversee website updates, CMS management (preferably WordPress or Webflow). • Collaborate with designers/developers to improve UX, UI, and mobile responsiveness. • Track user behavior with tools like Hotjar, GA4, and optimize for engagement and conversions. Reporting & Analytics • Set up and maintain dashboards for digital performance using GA4, Looker Studio, etc. • Track and report KPIs across SEO, paid, email, and website metrics. • Provide actionable insights and recommendations to improve ROI and user experience. Collaboration & Project Management • Work closely with content, sales, and design teams to align digital strategies. • Juggle multiple campaigns and initiatives simultaneously while meeting deadlines. • Stay updated on the latest digital marketing and SEO trends, tools, and algorithm updates. Key Requirements • 2–3 years of hands-on experience in SEO and digital marketing in a B2B environment. • Proficiency in Google Ads, LinkedIn Ads, Google Analytics (including GA4), Google Search Console, and SEMrush / Ahrefs / Moz. • Experience with CMS (WordPress, Webflow), email marketing tools (e.g., HubSpot, Mailchimp), and analytics/reporting tools. • Solid understanding of digital funnels, content marketing, and customer journey mapping. • Excellent multitasking, time management, and organizational skills. • Strong communication and stakeholder management abilities. • A proactive mindset and growth-oriented approach. Preferred (Nice-to-Have) • Basic knowledge of HTML/CSS. • Experience with marketing automation platforms and CRM integration. • Certification in Google Ads, HubSpot, or similar platforms is a plus. What We Offer • Opportunity to work with a dynamic team shaping the future of B2B services. • Exposure to cross-functional collaboration and leadership mentoring. • Competitive salary, performance bonuses, and upskilling opportunities. • A flexible work environment that values ownership and initiative

Role & responsibilities: Analyse, manage, and maintain entity reference data to ensure accuracy, consistency, and completeness across systems Collaborate with product and technology teams to design, develop, and implement new features and controls for our reference data products Identify opportunities for product improvement and process optimization, providing actionable recommendations based on thorough data analysis Conduct root cause analysis of data issues, propose solutions, and oversee their implementation. Define and translate business requirements into functional specifications for developers and QA teams Evaluate and integrate new data sources, ensuring alignment with business needs and data governance standards Utilize SQL for data extraction, transformation, and analysis; automate data quality checks and reporting. Leverage exploratory data tools (such as Alteryx, KNIME, or similar) to build workflows, analyse large datasets, and generate insights Monitor data quality metrics, develop dashboards, and prepare management reports Engage with stakeholders to gather requirements, document processes, and communicate findings effectively Support ongoing data governance, compliance, and audit requirements within the reference data domain. Preferred candidate profile 8-10 years of relevant experience in entity reference data management, preferably within financial services, fintech, or data-centric organizations Proven expertise in data analysis, data quality management, and process improvement. Advanced proficiency in SQL for querying, analysing, and managing large datasets Hands-on experience with at least one leading data exploration or ETL tool (e.g., Alteryx, KNIME, etc.) Strong understanding of data governance, data standards, and regulatory compliance in the context of reference data Excellent problem-solving skills, with the ability to work independently on complex data challenges. Strong communication skills, both verbal and written, with the ability to interact effectively with technical and business stakeholders Bachelors or Master’s degree in Computer Science, Engineering, Finance, Business, or a related field.

Role & responsibilities: Lead development of full-stack applications using Python (FastAPI/Flask) and React/Next.js with TypeScript. Architect cloud-native solutions on Azure/AWS/GCP, including Kubernetes (AKS) and CI/CD pipelines. Integrate GenAI/Agentic AI features using LangChain, OpenAI, Vertex AI, etc. Drive system design using microservices, event-driven architecture, and REST/gRPC APIs. Mentor developers, conduct code reviews, and ensure best practices in DevOps and security. Preferred candidate profile: Backend: Python, FastAPI/Flask/Django Frontend: React.js, Next.js, TypeScript, HTML/CSS Cloud & DevOps: Azure/AWS/GCP, Docker, Kubernetes, Terraform, CI/CD AI Integration: LangChain, OpenAI, Gemini, Vertex AI Databases: PostgreSQL, MySQL, MongoDB, Firestore Leadership: Team mentoring, architecture reviews, delivery ownership

Role & responsibilities Responsibilities: Analysing company reporting documents to create pitchbooks, company profiles, information memorandums, sector reports, financial benchmarking and trading and transaction comps Working on Financial Models, DCF, LBO, and Football field analysis Performing secondary research through the web and available databases to prepare investment decks Interacting with the client for project coordination Be responsible for quality check and client deliverable Knowledge of databases such as Bloomberg, Capital IQ, Reuters, Factset, and Mergermarket Self-motivated, with a strong desire to learn and deliver Preferred candidate profile

We are seeking a skilled Tableau Developer with over 5 years of experience in designing, developing, and deploying business intelligence solutions using Tableau. The ideal candidate will have a strong understanding of data visualization best practices, data modeling, and dashboard performance optimization. Role & responsibilities: Design and develop interactive dashboards and reports using Tableau Desktop and Tableau Server. Collaborate with business stakeholders to gather requirements and translate them into effective visualizations. Optimize dashboard performance and ensure data accuracy and consistency. Integrate Tableau with various data sources (SQL, Excel, cloud platforms, etc.). Maintain and manage Tableau environments, including user access and security. Provide support and training to end-users on Tableau tools and dashboards. Preferred candidate profile: 5+ years of hands-on experience with Tableau Desktop and Tableau Server. Strong SQL skills and experience working with large datasets. Solid understanding of data warehousing concepts and data modeling. Experience with ETL tools and data integration is a plus. Excellent analytical and problem-solving skills. Strong communication and stakeholder management abilities. Preferred Qualifications: Tableau certification(s) is a plus. Experience with cloud platforms (AWS, Azure, GCP) is desirable.