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accounting and reporting analyst

quantitative analyst

Google

<div>
 
 Minimum qualifications:
 
 
 
 <ul>
 <li>
 Master's degree in Statistics or Economics, a related field, or equivalent practical experience.
 </li>
 <li>
 8 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 6 years of work experience with a PhD degree.
 </li>
 <li>
 Experience with statistical data analysis such as linear models, multivariate analysis, causal inference, or sampling methods.
 </li>
 <li>
 Experience with statistical software (e.g., SQL, R, Python, MATLAB, pandas) and database languages along with Statistical Analysis, Modeling and Inference.
 
 
 </li>
 </ul>
 
 Preferred qualifications:
 
 
 
 <ul>
 <li>
 Experience translating analysis results into business recommendations.
 </li>
 <li>
 Experience understanding potential outcomes framework and with causal inference methods (e.g., split-testing, instrumental variables, difference-in-difference methods, fixed effects regression, panel data models, regression discontinuity, matching estimators).
 </li>
 <li>
 Experience selecting tools to solve data analysis issues.
 </li>
 <li>
 Experience articulating business questions and using data to find a solution.
 </li>
 <li>
 Knowledge of structural econometric methods.
 
 
 </li>
 </ul>
 
 About The Job
 
 
 
 At Google, data drives all of our decision-making. Quantitative Analysts work all across the organization to help shape Google's business and technical strategies by processing, analyzing and interpreting huge data sets. Using analytical excellence and statistical methods, you mine through data to identify opportunities for Google and our clients to operate more efficiently, from enhancing advertising efficacy to network infrastructure optimization to studying user behavior. As an analyst, you do more than just crunch the numbers. You work with Engineers, Product Managers, Sales Associates and Marketing teams to adjust Google's practices according to your findings. Identifying the problem is only half the job; you also figure out the solution.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Interact cross-functionally with a variety of leaders and teams, and work with Engineers and Product Managers to identify opportunities for design and to assess improvements for advertising measurement products.
 </li>
 <li>
 Collaborate with teams to define questions about advertising effectiveness, incrementality assessment, the impact of privacy, user behavior, brand building, bidding etc., and develop and implement quantitative methods to answer those questions.
 </li>
 <li>
 Work with large, complex data sets. Solve difficult, non-routine analysis problems, applying advanced analytical methods as needed. Conduct analyses that include data gathering and requirements specification, exploratory data analysis (EDA), model development, and delivery of results to business partners and executives.
 </li>
 <li>
 Build and prototype analysis pipelines iteratively to provide insights at scale. Develop knowledge of Google data structures,metrics, advocating for changes where needed for product development.
 
 
 
 </li>
 </ul>
 Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .
</div>

Staff Data Scientist, Ads Insights and Measurement

Meril

<div>
 
 As a
 
 Quantitative Machine Learning Engineer
 
 at
 
 Merli
 
 , you will help shape the next generation of
 
 AI-driven trading infrastructure
 
 . This role sits at the intersection of
 
 quantitative research, applied ML, and agentic system design
 
 , with the goal of optimizing high-frequency (HFT), medium-frequency (MFT), and wholesale trading strategies.
 
 
 You&rsquo;ll architect
 
 adaptive, agent-based ML systems
 
 that learn from evolving market microstructures, build robust forecasting and optimization models, and work with trading and infrastructure teams to deploy these solutions in
 
 real-world, low-latency environments
 
 .
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 
 Design &amp; Build Agentic ML Systems:
 
 Develop autonomous and semi-autonomous agents that perform data acquisition, alpha discovery, backtesting, and execution optimization.
 </li>
 <li>
 
 End-to-End ML Engineering:
 
 Architect, train, and deploy ML pipelines for HFT/MFT and wholesale trading, from signal generation to execution integration.
 </li>
 <li>
 
 Quantitative Research Integration:
 
 Collaborate with quant researchers to translate theoretical models into production-ready predictive and optimization systems.
 </li>
 <li>
 
 Market Forecasting:
 
 Develop deep learning, time series, and reinforcement learning models for price movement prediction and regime detection.
 </li>
 <li>
 
 Trading Optimization:
 
 Build reinforcement and meta-learning frameworks that adaptively tune strategy parameters in live environments.
 </li>
 <li>
 
 Scalable ML Infrastructure:
 
 Implement real-time inference, model versioning, and continuous learning pipelines for production systems.
 </li>
 <li>
 
 Performance Evaluation:
 
 Rigorously validate models with historical and synthetic simulations, ensuring robustness, latency, and financial soundness.
 </li>
 <li>
 
 Documentation &amp; Collaboration:
 
 Maintain high standards of reproducibility, version control, and code documentation across research and deployment layers.
 </li>
 </ul>
 
 
 What You&rsquo;ll Gain
 
 
 <ul>
 <li>
 Work at the frontier of
 
 AI, quantitative finance, and agentic automation
 
 .
 </li>
 <li>
 Collaborate with
 
 quant researchers, data engineers, and trading teams
 
 shaping next-gen trading systems.
 </li>
 <li>
 Exposure to
 
 meta-optimization frameworks
 
 ,
 
 reinforcement learning
 
 , and
 
 multi-agent orchestration
 
 .
 </li>
 <li>
 Hands-on experience with
 
 low-latency ML deployment
 
 , GPU acceleration, and distributed training in real trading environments.
 </li>
 <li>
 Ownership of models that directly influence
 
 market-making, forecasting, and strategy execution
 
 .
 </li>
 <li>
 Continuous learning and experimentation in a
 
 research-first, innovation-driven
 
 environment.
 </li>
 </ul>
 
 
 Qualifications
 
 
 <ul>
 <li>
 Bachelor&rsquo;s, Master&rsquo;s, or Ph.D. in Computer Science, Applied Mathematics, Financial Engineering, or a related quantitative field.
 </li>
 <li>
 
 3+ years
 
 of experience developing and deploying ML models in production (preferably in finance, trading, or large-scale decision systems).
 </li>
 <li>
 Strong proficiency in
 
 Python
 
 and ML frameworks:
 
 PyTorch, TensorFlow, scikit-learn, NumPy, Pandas
 
 .
 </li>
 <li>
 Deep understanding of
 
 supervised, unsupervised, and reinforcement learning
 
 ,
 
 time-series modeling
 
 , and
 
 probabilistic forecasting
 
 .
 </li>
 <li>
 Experience building
 
 scalable data pipelines
 
 with
 
 Kafka, Flink, or Ray
 
 and deploying models in
 
 Docker/Kubernetes
 
 environments.
 </li>
 <li>
 Knowledge of
 
 market microstructure
 
 ,
 
 portfolio optimization
 
 , or
 
 signal-based trading systems
 
 is highly desirable.
 </li>
 <li>
 Familiarity with
 
 meta-learning
 
 ,
 
 agent-based system design
 
 , or
 
 multi-agent coordination
 
 is a strong plus.
 </li>
 <li>
 Solid analytical, programming, and debugging skills with an emphasis on
 
 system reliability and latency optimization
 
 .
 </li>
 </ul>
 
 
 Preferred Technical Stack
 
 
 <ul>
 <li>
 
 Languages:
 
 Python, C++, Rust
 </li>
 <li>
 
 ML Infrastructure:
 
 Ray, MLflow, Airflow, Weights &amp; Biases
 </li>
 <li>
 
 Data Systems:
 
 Kafka, Redpanda, Redis, QuestDB
 </li>
 <li>
 
 Model Deployment:
 
 Triton Inference Server, TorchServe, or custom GPU inference
 </li>
 <li>
 
 Cloud/Hybrid Setup:
 
 Kubernetes, ArgoCD, Helm
 </li>
 </ul>
 
 
</div>

Quantitative ML Engineer

<div>
 
 Minimum qualifications:
 
 
 
 <ul>
 <li>
 Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field, or equivalent practical experience.
 </li>
 <li>
 5 years of experience with analysis applications (e.g., extracting insights, performing statistical analysis, or solving business problems), and coding (e.g., Python, R, SQL), or 2 years work experience with a Master's degree.
 
 
 </li>
 </ul>
 
 Preferred qualifications:
 
 
 
 <ul>
 <li>
 Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
 
 
 </li>
 </ul>
 
 About the job
 
 Help serve Google's worldwide user base of more than a billion people. Data Scientists provide quantitative support, market understanding and a strategic perspective to our partners throughout the organization. As a data-loving member of the team, you serve as an analytics expert for your partners, using numbers to help them make better decisions. You will weave stories with meaningful insight from data. You'll make critical recommendations for your fellow Googlers in Engineering and Product Management. You relish tallying up the numbers one minute and communicating your findings to a team leader the next. Google Photos is a photo sharing and storage service developed by Google. Photos is one of the most sought after products at Google and is looking for both client-side (web and mobile), with server-side (search, storage, serving) and machine intelligence (learning, computer vision) Software Engineers. We are dedicated to making Google experiences centered around the user.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Partner with Finance, User Experience (UX), Product Management (PM), and Engineering to deliver analytics/experimentation infrastructure and processes that empower the team to deliver insights and decision-making.
 </li>
 <li>
 Identify business problems where a data science approach is appropriate. Bring structure to the problem, apply the right investigative solutions, and recommend actions that improve the product and user experience.
 </li>
 <li>
 Promote a culture of learning within the team. Identify and advocate new data sources, tools, and methodologies to enhance the investigative capabilities and drive innovation.
 </li>
 <li>
 Manage relationships between cross-product area teams, and elucidate and quantify tradeoffs between engaging goals.
 
 
 
 </li>
 </ul>
 Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .
</div>

Data Scientist, Google Photos and Google One, Product

Data Scientist, Product Analytics

LSEG

<div>
 Proud to share LSEG in the India is Great Place to Work certified (Jun &rsquo;25 &ndash; Jun &rsquo;26).
 
 
 Learn more about life and purpose of our company directly from India colleagues&rsquo; video: Bengaluru, India | Where We Work | LSEG
 
 
 The Entity Content team collects, manages, and supplies content for various datasets across FCO. This content is used extensively across and beyond Refinitiv/LSEG and is a critical asset to a wide range of Refinitiv/LSEG products.
 
 
 The Content Specialists will be accountable for delivering on Key Projects related to Business Cases, database and supporting Data Strategy teams and will contribute to the delivery of the content roadmap to fulfil all business requirements.
 
 
 
 The role of the Data Scientist is to:
 
 
 
 Design and develop new methodologies, quantitative models, analysis and commentary (as relevant) that enhance existing or new processes. Maintain existing product performance and independent analysis standards. Internally, work with various departments to grow new ideas and expand the scope of existing products.
 
 
 
 Essential Day-to-Day Responsibilities:
 
 
 
 <ul>
 <li>
 Data handling, data processing and programming
 </li>
 <li>
 Develop automated solutions for sourcing/loading Entity data into Database
 </li>
 <li>
 Analyze Legal entity content to establish patterns/trends
 </li>
 <li>
 Develop, improve and run quantitative models
 </li>
 <li>
 Generate solutions through machine learning for core processes
 </li>
 <li>
 Work with business, content and product groups for large-scale analytics problems
 </li>
 <li>
 Build POCs, visualizations and pipeline tools for product design and development
 </li>
 <li>
 Work with development groups for deployment of analytics solutions
 </li>
 <li>
 Interact with other internal teams as needed, with supervision.
 
 
 </li>
 </ul>
 
 Knowledge &amp; Skills:
 
 
 
 <ul>
 <li>
 Extensive experience using Python or R or equivalent
 </li>
 <li>
 Proficient in using tools and libraries such as scikit-learn, numpy, pandas and jupyter
 </li>
 <li>
 Solid relational database skills
 </li>
 <li>
 Solid understanding of statistics and statistical language such as R
 </li>
 <li>
 Ability to handle large quantities of data
 </li>
 <li>
 Narrate stories (to technical and mostly non-technical audience) about our content and processes by data analysis and visualization
 </li>
 <li>
 Strong written, communication and presentation skills. Able to respond and present work to peers, senior management and other stakeholders
 
 
 </li>
 </ul>
 
 Qualification:
 
 
 
 <ul>
 <li>
 Higher education in Statistics, Mathematics or Engineering in Computer Science with Data science certification
 
 
 </li>
 </ul>
 At LSEG, we believe that creating a diverse and inclusive organization is fundamental to the way we deliver on our promise of creating essential partnerships and open opportunities. Our open culture is central to how we deliver our purpose &ndash; driving financial stability, empowering economies and enabling customers to create sustainable growth &ndash; in everything we do.
 
 
 Working with us means that you will be part of a dynamic organization of 25,000 people across 70 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce. You will be part of a collaborative and creative culture where we encourage new ideas and are committed to sustainability across our global business. You will experience the critical role we have in helping to re-engineer the financial ecosystem to support and drive sustainable economic growth. Together, we are aiming to achieve this growth by accelerating the just transition to net zero, enabling growth of the green economy and creating inclusive economic opportunity.
 
 
 LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.
 
 
 We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone&rsquo;s race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as any mental health or physical disability needs.
 
 
 Please take a moment to read this privacy notice carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it&rsquo;s used for, and how it&rsquo;s obtained, your rights and how to contact us as a data subject.
 
 
 Join us and be part of a team that values innovation, quality, and continuous improvement. If you're ready to take your career to the next level and make a significant impact, we'd love to hear from you.
 
 
 LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth.
 
 
 Our purpose is the foundation on which our culture is built. Our values of
 
 Integrity, Partnership
 
 ,
 
 Excellence
 
 and
 
 Change
 
 underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions.
 
 
 Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce.
 
 
 We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone&rsquo;s race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.
 
 
 You will be part of a collaborative and creative culture where we encourage new ideas. We are committed to sustainability across our global business and we are proud to partner with our customers to help them meet their sustainability objectives. Our charity, the LSEG Foundation provides charitable grants to community groups that help people access economic opportunities and build a secure future with financial independence. Colleagues can get involved through fundraising and volunteering.
 
 
 LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.
 
 
 Please take a moment to read this privacy notice carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it&rsquo;s used for, and how it&rsquo;s obtained, your rights and how to contact us as a data subject.
 
 
 If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.
</div>

Data Scientist

IBS Software

<div>
 
 IBS Software is a fast-growing global software company with 5,000 employees and a 27-year track record of innovation for the world&rsquo;s leading travel brands. Certified as a Great Place to Work&reg;, IBS Software has a culture built on the values of precision, commitment, passion, integrity and respect for the individual. Working at IBS Software is an opportunity to join an exciting company with a great team culture and a successful track record. We are highly selective, seeking individuals with demonstrated excellence and track records of top achievement. We look for smart people who are passionate about technology, who care deeply about their careers, and who want to work hard and have fun.
 
 
 
 
 
 
 The Role
 
 
 
 IBS is seeking a dynamic Sales Operations &amp; Revenue Analyst to support our fast-growing global sales team. This role blends elements of sales operations, business analytics and finance &mdash; requiring a mix of go-to-market strategy, market analysis, sales optimization, special projects and operational support.
 
 
 Success in this role means partnering with sales leaders to drive strategic initiatives and operational excellence. Projects will range from building scalable reporting infrastructure, evaluating market opportunities, supporting product growth strategies, analyzing sales pipelines, and reviewing key performance metrics. You&rsquo;ll collaborate across departments and gain exposure to senior executives. The ideal candidate understands what drives success in a sales organization, is passionate about data, and excels at turning insights into actionable strategies.
 
 
 Key Responsibilities
 
 
 &middot; Deliver analytical support to the revenue organization, focusing on reporting and generating actionable insights to drive growth.
 
 
 &middot; Collaborate with a global Sales &amp; Marketing team of 100+ professionals and cross-functional stakeholders.
 
 
 &middot; Prepare performance updates, solve business problems, and identify improvement opportunities using Salesforce and BI tools like Microsoft Power BI.
 
 
 &middot; Respond to inbound reporting requests and proactively identify reporting needs.
 
 
 &middot; Lead change initiatives, including implementing new forecasting tools and methodologies.
 
 
 &middot; Support strategic initiatives through data modelling, scenario analysis, and business case development.
 
 
 &middot; Drive GTM planning processes: capacity planning, productivity analysis, market segmentation, territory design, and incentive modelling.
 
 
 &middot; Evaluate business performance through a data-centric lens and operationalize insights into scalable processes.
 
 
 &middot; Partner with GTM teams to boost revenue and improve sales productivity.
 
 
 &middot; Troubleshoot operational issues and optimize systems and workflows for scale.
 
 
 &middot; Enable regional sales teams with insights, tools, and processes, contributing to global projects.
 
 
 &middot; Blend analytical rigor with strategic thinking, incorporating feedback from sales leaders.
 
 
 &middot; Uncover trends and deliver insights that shape strategy, refine processes, and drive organizational success.
 
 
 
 
 
 
 Who You Are
 
 
 
 &middot; 4+ years of experience in Sales Operations, Revenue Operations, or Sales Analytics.
 
 
 &middot; Master&rsquo;s degree in Business, Finance, or a related field.
 
 
 &middot; Strong quantitative analysis skills, creative problem-solving ability, and commercial acumen.
 
 
 &middot; Exceptional attention to detail and organizational skills.
 
 
 &middot; Advanced proficiency in Excel and confident presenting data using slides to senior stakeholders.
 
 
 &middot; Experience with Salesforce; dashboard-building skills are a plus.
 
 
 &middot; Skilled in BI platforms (e.g., Microsoft Power BI) for data extraction, analysis, and visualization.
 
 
 &middot; Excellent communication and stakeholder management skills.
 
 
 &middot; Comfortable working in a fast-paced, dynamic environment.
 
 
 &middot; Experience supporting B2B sales teams and collaborating cross-functionally.
 
 
 &middot; Self-starter with a strong work ethic and adaptability.
 
 
 &middot; Fluent in English (spoken and written).
 
</div>

Sales & Revenue operations Analyst

Ralph Lauren

<div>
 Ralph Lauren Corporation (NYSE:RL) is a global leader in the design, marketing and distribution of premium lifestyle products in five categories: apparel, accessories, home, fragrances, and hospitality. For more than 50 years, Ralph Lauren's reputation and distinctive image have been consistently developed across an expanding number of products, brands and international markets. The Company's brand names, which include Ralph Lauren, Ralph Lauren Collection, Ralph Lauren Purple Label, Polo Ralph Lauren, Double RL, Lauren Ralph Lauren, Polo Ralph Lauren Children, Chaps, among others, constitute one of the world's most widely recognized families of consumer brands.
 
 
 At Ralph Lauren, we unite and inspire the communities within our company as well as those in which we serve by amplifying voices and perspectives to create a culture of belonging, ensuring inclusion, and fairness for all. We foster a culture of inclusion through: Talent, Education &amp; Communication, Employee Groups and Celebration.
 
 
 ,
 
 
 Ralph Lauren is seeking an analytical, organized, and collaborative Product Manager to join our Global Product Management &amp; User Research team. This role will be responsible for the product strategy, roadmap, and performance of key digital products and capabilities for Ralph Lauren&rsquo;s global digital business and will bring together commercial, technology, user experience, and marketing partners in order to devise, define, and deliver products that drive business and customer objectives. Experience with e-commerce, end-to-end digital consumer experiences, and order management solutions is required. The ideal candidate is self-motivated, curious, innovative, and excited to use data to drive decisions.
 
 
 ,
 
 
 <ul>
 <li>
 Provide product vision and direction for key product capabilities, working closely with partners to understand business and customer needs in order to deliver revenue-generating, best-in-class user experiences.
 </li>
 <li>
 Manage a robust backlog of ideas and the product roadmap with project management and various business and marketing teams globally, prioritizing and assigning features to specific releases to meet key objectives.
 </li>
 <li>
 Work cross-functionally as the primary liaison between commercial business owners, user experience partners and the technical team, establishing subject matter expertise and engaging in all project phases including discovery, requirements gathering, development, testing, launch, and iteration of new products.
 </li>
 <li>
 Act as the Consumer Technology team representative to commercial partners, communicating well-crafted, fact-based information to leadership for decisions on functionality and ensuring alignment on goals and tactics.
 </li>
 <li>
 Collaborate closely with Solution and Technical Architects, Developers, Analysts, and Project Managers to define detailed requirements that provide clarity to complex problems as well as execute against plans to deliver high-quality products and outstanding performance.
 </li>
 <li>
 Define and monitor key performance indicators to analyze performance and measure success against goals, in turn identifying opportunities for improvement and growth.
 </li>
 <li>
 Ensure end users have the training and documentation required to efficiently manage new features.
 </li>
 <li>
 Develop comprehensive knowledge of Ralph Lauren&rsquo;s customer and business while maintaining an awareness of competitive products and industry trends to continually inform product direction.
 
 
 </li>
 </ul>
 ,
 
 
 <ul>
 <li>
 Prior experience in product management, or as a business analyst with proven success translating business strategy and analysis into successful digital consumer products.
 </li>
 <li>
 Solid data-driven, quantitative and qualitative, decision-making capabilities with experience analyzing customer and business results to prioritize most impactful tactics.
 </li>
 <li>
 Demonstrated documentation skillset, understanding of the product development lifecycle, agile methodologies and backlog management applications e.g. JIRA, Confluence, AI-based automation tools &amp; agents, Adobe Analytics etc.
 </li>
 <li>
 Strong project management skills managing multiple large projects with agile product management experience.
 </li>
 <li>
 Excellent communication/writing skills and effective at communicating with and presenting to partners.
 </li>
 <li>
 Comfortable in a highly matrixed, iterative development environment and good at balancing collaboration and advocacy.
 </li>
 <li>
 High level of intellectual curiosity with knowledge of competitive products and industry trends.
 </li>
 </ul>
</div>

Digital Technology Product Manager, Platform

Explore 105+ Quantitative analyst in Mangaluru this November. Find roles across top companies and apply now to boost your career.