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data scientist (quant research) - gm data & ai lab Jobs in Mumbai

data scientist (quant research) - gm data & ai lab

data scientist quant research gm data ai lab

BNP Paribas

<div>
 
 About BNP Paribas Group
 
 
 
 
 BNP Paribas is a top-ranking bank in Europe with an international profile. It operates in 71 countries and has almost 199 000 employees
 
 . The Group ranks highly in its three core areas of activity: Domestic Markets and International Financial Services (whose retail banking networks and financial services are grouped together under Retail Banking &amp; Services) and Corporate &amp; Institutional Banking, centred on corporate and institutional clients. The Group helps all of its clients (retail, associations, businesses, SMEs, large corporates and institutional) to implement their projects by providing them with services in financing, investment, savings and protection. In its Corporate &amp; Institutional Banking and International Financial Services activities, BNP Paribas enjoys leading positions in Europe, a strong presence in the Americas and has a solid and fast-growing network in the Asia/Pacific region.
 
 
 
 About BNP Paribas India Solutions
 
 
 
 Established in 2005, BNP Paribas India Solutions is a wholly owned subsidiary of BNP Paribas SA, a leading bank in Europe with an international reach. With delivery centers located in Bengaluru, Chennai and Mumbai, we are a 24x7 global delivery center. India Solutions services three business lines: Corporate and Institutional Banking, Investment Solutions and Retail Banking for BNP Paribas across the Group. Driving innovation and growth, we are harnessing the potential of over 6000 employees, to provide support and develop best-in-class solutions.
 
 
 
 About Business Line/Function
 
 
 
 GM Data &amp; AI Lab leverages the power of Machine Learning and Deep learning to drive innovation in various business lines. Our primary goal is to harness the potential of vast amounts of structured and unstructured data to improve our services and provide value. Today we are a team of around 40+ Data Scientists based in Paris, London, Frankfurt, Lisbon, New York, Singapore and Mumbai.
 
 
 
 Job Title
 
 
 
 Data Scientist (Quant Research)
 
 
 
 Date
 
 
 
 Department:
 
 
 Front Office Support
 
 
 Location:
 
 
 Mumbai
 
 
 
 Business Line / Function
 
 
 
 Global Markets &ndash; Data &amp; AI Lab
 
 
 
 Reports To
 
 
 
 (Direct)
 
 
 
 Grade
 
 
 
 (if applicable)
 
 
 (Functional)
 
 
 
 Number Of Direct Reports
 
 
 
 NA
 
 
 
 Directorship / Registration
 
 
 
 NA
 
 
 Position Purpose
 
 
 Your work will center on designing and deploying AI solutions for time series forecasting, financial modeling, anomaly detection and other Quant related usecases. We use AI to discover patterns, classify information, and predict likelihoods. Our team works on building, refining, testing, and deploying these models to support various business use cases, ultimately driving business value and innovation.
 
 
 As a Data Scientist on our team, you can expect to work on challenging projects, collaborate with stakeholders to identify business problems, and have the opportunity to learn and grow with our team. A typical day may involve working on model development, meeting with stakeholders to discuss project requirements/updates, and brainstorming/debugging with colleagues on various technical aspects.
 
 
 At the Lab, we're passionate about staying at the forefront of AI research, bridging the gap between research &amp; industry to drive innovation and to make a real impact on our businesses.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Develop and maintain AI models on time series &amp; financial date for predictive modelling, including data collection, analysis, feature engineering, model development, evaluation, backtesting and monitoring.
 </li>
 <li>
 Identify areas for model improvement through independent research and analysis, and develop recommendations for updates and enhancements.
 </li>
 <li>
 Working with expert colleagues, Quant and business representatives to examine the results and keep models grounded in reality.
 </li>
 <li>
 Documenting each step of the development and informing decision makers by presenting them options and results.
 </li>
 <li>
 Ensure the integrity and security of data.
 </li>
 <li>
 Provide support for production models delivered by the Mumbai team but potentially as well for other models to any of the Asian/EU/US time zones.
 
 
 </li>
 </ul>
 Technical &amp; Behavioral Competencies
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in a numeric subject with understanding of economics and markets (eg.: Economics with a speciality in Econometrics, Finance, Computer Science, Applied Maths, Engineering, Physics)
 </li>
 <li>
 Knowledge of key concepts in Statistics and Mathematics such as Statistical methods for Machine learning, Probability Theory and Linear Algebra.
 </li>
 <li>
 Knowledge of Monte Carlo Simulations, Bayesian modelling &amp; Causal Inference.
 </li>
 <li>
 Experience with Machine Learning &amp; Deep Learning concepts including data representations, neural network architectures, custom loss functions.
 </li>
 <li>
 Proven track record of building AI models on time-series &amp; financial data.
 </li>
 <li>
 Programming skills in Python and knowledge of common numerical and machine-learning packages (like NumPy, scikit-learn, pandas, PyTorch, PyMC, statsmodels).
 </li>
 <li>
 Ability to write clear and concise code in python.
 </li>
 <li>
 Intellectually curious and willing to learn challenging concepts daily.
 
 
 </li>
 </ul>
 
 Skills Referential
 
 
 
 Behavioural Skills:
 
 
 Ability to collaborate / Teamwork
 
 
 Critical thinking
 
 
 Communication skills - oral &amp; written
 
 
 Attention to detail / rigor
 
 
 
 Transversal Skills
 
 
 
 Analytical Ability
 
 
 
 Education Level
 
 
 
 Bachelor Degree or equivalent
 
 
 Experience Level
 
 
 At least 2 years
</div>

Data Scientist (Quant Research) - GM Data & AI Lab

LTIMindtree

<div>
 
 
 
 Data Scientist - GENAI
 
 
 
 
 
 
 
 We are looking for a Data Scientist who will support building AI tools for customers. The candidate should be skilled at using large data sets to find opportunities for product and process optimization. The candidate must have a proven ability to drive business results with their data-based insights. The candidate must be comfortable working with a wide range of stakeholders and functional teams.
 
 
 
 
 
 
 
 Primary Skills &ndash; Data Science, Python, AI, ML (Machine Learning) Gen AI &ndash; Generative AI
 
 
 
 
 
 
 
 
 Secondary Skills &ndash;
 
 NLP, LLM, Deep Learning, Cloud (AWS/Cloud)
 
 
 
 
 
 
 
 Responsibilities for Data Scientist:
 
 
 
 
 
 
 <ul>
 <li>
 Work with stakeholders to identify opportunities for leveraging data to drive business solutions.
 </li>
 <li>
 Mine and analyse data from databases to drive optimization and improvement of product development and business strategies.
 </li>
 <li>
 Assess the effectiveness and accuracy of new data sources and data gathering techniques.
 </li>
 <li>
 Develop custom models and algorithms to apply to data sets.
 </li>
 <li>
 Use predictive modelling to increase and optimize customer experiences.
 </li>
 <li>
 Coordinate with different functional teams to implement models and monitor outcomes.
 </li>
 <li>
 Analyse large amounts of information to discover trends and patterns.
 </li>
 <li>
 Build predictive models and machine-learning algorithms.
 </li>
 <li>
 Present information using data visualization techniques .
 </li>
 <li>
 Good to have a knowledge of ML lifecycle and model governance.
 </li>
 </ul>
 
 
 
 
 
 
 Qualifications for Data Scientist
 
 
 
 
 
 
 <ul>
 <li>
 
 
 Looking for someone with 5-8 years of experience manipulating data sets and building statistical models, having bachelor&rsquo;s or master&rsquo;s degree in Statistics, Mathematics, Computer Science or another quantitative field, and is familiar with the following software/tools.
 
 
 </li>
 <li>
 Experience using statistical computer languages (R, Python etc.) to manage data and draw insights from large data sets.
 </li>
 <li>
 Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, XGBoost, KNN, SVM, ANN, etc.).
 </li>
 <li>
 Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
 </li>
 <li>
 Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.
 </li>
 <li>
 Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
 </li>
 <li>
 Experience visualizing/presenting data for stakeholders
 </li>
 <li>
 Experience with Snowflake will be an added advantage
 </li>
 <li>
 Experience in deployment of machine learning models using cloud technologies"
 </li>
 </ul>
 
 
</div>

Data Scientist

The Lubrizol Corporation

<div>
 Application Scientist &ndash; Performance Coatings
 
 
 Job Mission
 
 
 The scientist in this role in the Performance Coating Group will actively engage &amp; supervise lab scale and production trials of polymer products and qualify them through application testing. The ideal candidate would have a customer focused mindset, knowledge of coatings formulations and tests, and ability to develop polymeric products for coating applications.
 
 
 Key Job Accountabilities
 
 
 Lead and/or support trials of Lubrizol&rsquo;s performance coating product lines including acrylic emulsions, hyperdispersants and polyurethane dispersions
 
 
 Conduct testing for qualifying locally manufactured products and develop data package in support of demonstrating the value proposition of the product as relevant for the IMEA market.
 
 
 Understand customer&rsquo;s needs and deliver project milestones focused on results against meeting customer&rsquo;s timeline and technical targets.
 
 
 Analyze and communicate test results, challenges, and opportunities to internal and external stakeholders.
 
 
 Operate with safety at the forefront and actively participate in the department safety programs
 
 
 Work on development of in-house formulation and testing capabilities
 
 
 Develop and apply structure-property relationship for resins and additives.
 
 
 Work as an active member of cross-functional team ensuring alignment of project definition with marketing and sales.
 
 
 Build strong relationships, and collaboration with the global technical team leveraging expertise and sharing insights from local region.
 
 
 Prioritize and align project deliverables with the IMEA commercial team
 
 
 
 Basic Qualifications
 
 
 
 M.S./Ph.D. degree in Chemistry, Chemical Engineering, Polymer Chemistry or related field from an accredited college/university with a minimum 5+ years&rsquo; experience in polymer synthesis for coating applications.
 
 
 Excellent communication and collaboration skills
 
 
 Skills to develop and implement coatings characterization methods and to interpret results.
 
 
 Fundamental understanding of pigment dispersions, one component (1K) and two component (2K) coatings technologies in both waterborne and solvent borne systems.
 
 
 Ability to work independently and in multi-disciplinary teams.
 
 
 Experience supporting multiple projects simultaneously.
 
 
 Self-starter, highly motivated toward achievements, results oriented and team player.
 
 
 Ability to travel as needed to support production trials and customer engagement (est. 30%).
 
 
 Considered a Plus
 
 
 Experience in Wood, Masonry, Protective, Industrial coating formulations and testing
 
 
 Experience in the use of statistical methods for design of experiments, data modeling, and analysis of results.
 
 
 Experience in developing particle dispersions
</div>

Application Scientist

Deloitte

<div>
 
 
 Your potential, unleashed.
 
 
 
 
 
 India&rsquo;s impact on the global economy has increased at an exponential rate and Deloitte presents an opportunity to unleash and realize your potential amongst cutting edge leaders, and organizations shaping the future of the region, and indeed, the world beyond.
 
 
 
 
 At Deloitte, your whole self to work, every day. Combine that with our drive to propel with purpose and you have the perfect playground to collaborate, innovate, grow, and make an impact that matters.
 
 
 
 
 
 The team
 
 
 
 
 
 The Information Technology department is responsible for building products and platforms for Deloitte India that focuses on providing extraordinary customer experience by putting design thinking with trailblazing technology in the center of what they do. The diverse team consists of subject matter experts, technology specialists, quality engineers, user experience researchers &amp; designers, data scientists and product managers.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 
 
 
 
 1.
 
 NLP Model Development
 
 : Design, develop, and implement state-of-the-art NLP algorithms and models to extract insights and patterns from large volumes of textual data. Leverage machine learning and deep learning techniques to tackle NLP tasks such as text classification, entity extraction, and document summarization.
 
 
 
 
 2.
 
 Data Preprocessing and Feature Engineering
 
 : Preprocess and clean textual data to prepare it for analysis and modeling. Perform feature engineering to extract relevant features and representations from raw text, including word embeddings, n-grams, and syntactic features.
 
 
 
 
 
 3.
 
 Model Evaluation and Validation
 
 : Evaluate the performance of NLP models using appropriate metrics and statistical techniques. Conduct rigorous testing and validation to ensure the accuracy, robustness, and generalization of NLP models across different datasets and domains.
 
 
 
 
 
 4.
 
 NLP Integration
 
 : Collaborate with cross-functional teams, including software engineers and product managers, to integrate NLP solutions into production systems and applications. Ensure seamless interoperability and performance optimization of NLP components within larger AI systems.
 
 
 
 
 
 5.
 
 Research and Innovation
 
 : Stay up-to-date with the latest research in NLP and Gen AI, and apply cutting-edge methodologies to real-world problems. Explore new methodologies, tools, and approaches to improve the effectiveness and efficiency of NLP solutions. Contribute to research publications and thought leadership in the field of NLP.
 
 
 
 
 
 6.
 
 Data Analysis and Visualization
 
 : Analyze and interpret results from NLP models to extract meaningful insights and actionable recommendations. Visualize findings using appropriate techniques and tools to communicate complex information effectively to stakeholders.
 
 
 
 
 
 7.
 
 Documentation and Reporting
 
 : Document methodologies, findings, and insights from NLP projects in clear and concise reports. Communicate technical concepts and results to both technical and non-technical audiences, including management and business stakeholders.
 
 
 
 
 
 
 Qualifications:
 
 
 
 
 
 
 
 &bull;Master's or Ph.D. degree in Computer Science, Engineering, Mathematics, Statistics, or a related field.
 
 
 
 
 
 &bull;Minimum of 5+ years of proven experience as a Data Scientist with a focus on NLP and 2 years on Gen AI, preferably in industry or research settings.
 
 
 
 
 
 &bull;Strong knowledge of NLP techniques and algorithms, including text preprocessing, feature extraction, and supervised and unsupervised learning methods.
 
 
 
 
 
 &bull;Proficiency in programming languages such as Python or R, and libraries such as NLTK, spaCy, scikit-learn, and TensorFlow/PyTorch for NLP.
 
 
 
 
 
 &bull;Familiarity with data visualization tools such as Matplotlib, Seaborn, or Plotly.
 
 
 
 
 
 &bull;Experience with containerization and orchestration technologies such as Docker and Kubernetes.
 
 
 
 
 
 &bull;Basic understanding of system design and ML-Ops practices.
 
 
 
 
 
 &bull;Excellent problem-solving skills and analytical thinking.
 
 
 
 
 
 &bull;Strong communication and collaboration skills, with the ability to work effectively in cross-functional teams.
 
 
 
 
 
 &bull;Proven ability to manage multiple projects simultaneously and meet deadlines in a fast-paced environment.
 
 
 
 
 
 
 Preferred Qualifications:
 
 
 
 
 
 
 
 &bull;Experience with deep learning architectures for NLP, such as recurrent neural networks (RNNs), convolutional neural networks (CNNs), and transformer models (e.g., BERT, GPT).
 
 
 
 
 
 &bull;Knowledge of domain-specific NLP tasks and applications, such as chatbots, document understanding, or information extraction.
 
 
 
 
 
 &bull;Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.
 
 
 
 
 
 How you&rsquo;ll grow
 
 
 
 
 
 
 
 Connect for impact
 
 
 
 
 
 
 Our exceptional team of professionals across the globe are solving some of the world&rsquo;s most complex business problems, as well as directly supporting our communities, the planet, and each other. Know more in our Global Impact Report and our India Impact Report.
 
 
 
 
 
 
 Empower to lead
 
 
 
 
 
 
 You can be a leader irrespective of your career level. Our colleagues are characterised by their ability to inspire, support, and provide opportunities for people to deliver their best and grow both as professionals and human beings. Know more about Deloitte and our One Young World partnership.
 
 
 
 
 
 
 Inclusion for all
 
 
 
 
 
 
 At Deloitte, people are valued and respected for who they are and are trusted to add value to their clients, teams and communities in a way that reflects their own unique capabilities. Know more about everyday steps that you can take to be more inclusive. At Deloitte, we believe in the unique skills, attitude and potential each and every one of us brings to the table to make an impact that matters.
 
 
 
 
 
 
 Drive your career
 
 
 
 
 
 
 At Deloitte, you are encouraged to take ownership of your career. We recognise there is no one size fits all career path, and global, cross-business mobility and up / re-skilling are all within the range of possibilities to shape a unique and fulfilling career. Know more about Life at Deloitte.
 
 
 
 
 
 Everyone&rsquo;s welcome&hellip; entrust your happiness to us
 
 
 
 
 
 Our workspaces and initiatives are geared towards your 360-degree happiness. This includes specific needs you may have in terms of accessibility, flexibility, safety and security, and caregiving. Here&rsquo;s a glimpse of things that are in store for you.
 
 
 
 
 
 Interview tips
 
 
 
 
 
 We want job seekers exploring opportunities at Deloitte to feel prepared, confident and comfortable. To help you with your interview, we suggest that you do your research, know some background about the organisation and the business area you&rsquo;re applying to. Check out recruiting tips from Deloitte professionals.
 
</div>

Turing

<div>
 
 
 About Turing:
 
 
 
 Based in San Francisco, California, Turing is the world&rsquo;s leading
 
 research accelerator
 
 for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into
 
 proprietary intelligence
 
 with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&amp;L
 
 
 
 
 
 
 Role Overview:
 
 
 
 We are seeking analytical and process-driven professionals with extensive hands-on experience in Logistics, Warehouse Management, Supply Chain, or Order Fulfillment Operations. This specialized role supports the development and benchmarking of Large Language Models (LLMs) by designing and validating workflows that directly impact inventory accuracy, fulfillment speed, carrier performance, and supply chain visibility. The specialist will be crucial in recreating complex logistics scenarios to validate AI outputs and ensure they maintain operational efficiency, cost-effectiveness, and real-time accuracy.
 
 
 
 
 
 
 What does day-to-day look like
 
 :
 
 <ul>
 <li>
 Accurately map and recreate complex logistics operational workflows, covering inbound receiving, inventory slotting/picking, packing, shipping, carrier management, returns processing (reverse logistics), and cross-docking procedures.
 </li>
 <li>
 Rigorously validate AI-generated outputs in operational scenarios, such as automated inventory allocation, route optimization suggestions, carrier service level predictions, and exception handling messages, ensuring data integrity within the WMS/TMS and accuracy of fulfillment steps.
 </li>
 <li>
 Simulate critical supply chain and fulfillment challenges, including:
 </li>
 <li>
 Warehouse Simulation: Testing AI support for labor planning, optimized picking paths, and real-time inventory adjustments during peak operations.
 </li>
 <li>
 SLA Tracking &amp; Compliance: Validating AI reporting on order cycle time, dock-to-stock metrics, and carrier on-time performance (OTP) against service agreements.
 </li>
 <li>
 Security Audits: Performing structured reviews to ensure AI actions maintain inventory control and loss prevention standards throughout the chain.
 </li>
 <li>
 Provide detailed, structured annotations and high-quality datasets derived from inventory transactions, shipping manifests, and operational logs to continuously improve LLM training and evaluation for better forecasting and logistics automation.
 </li>
 </ul>
 
 
 
 
 
 Requirements
 
 :
 
 <ul>
 <li>
 Logistics &amp; Fulfillment Operations Expertise: Proven experience (3+ years) in a hands-on role within Warehouse Operations, Distribution Center Management, Supply Chain Planning, or Last-Mile Logistics (e.g., managing inventory, shipping processes, or third-party logistics/3PL relationships).
 </li>
 <li>
 WMS/TMS &amp; Workflow Tool Proficiency: High familiarity with industry-standard logistics and fulfillment systems, including WMS (Warehouse Management Systems), TMS (Transportation Management Systems), ERP inventory modules, or general workflow tools like ServiceNow or Jira used to manage operations and exceptions.
 </li>
 <li>
 Efficiency &amp; Data Integrity Detail Orientation: Exceptional attention to detail with a strong understanding of how process deviations or inventory discrepancies impact fulfillment speed and cost. Ability to identify AI shortcomings that lead to mis-shipments or system data pollution.
 </li>
 <li>
 Data Utilization for Supply Chain Predictability: Conceptual understanding of how operational logistics data (e.g., cycle count results, shipping times, capacity plans) is used for training and evaluating Machine Learning models (LLMs) to improve prediction and throughput.
 </li>
 <li>
 Communication &amp; Procedural Excellence: Excellent written English required for creating precise, training-quality Standard Operating Procedures (SOPs) and meticulously validating the clarity and accuracy of AI-generated communications for both internal teams and external carrier partners.
 </li>
 </ul>
 
 
 
 
 
 Perks of Freelancing With Turing:
 
 
 <ul>
 <li>
 Work in a fully remote environment.
 </li>
 <li>
 Opportunity to work on cutting-edge AI projects with leading LLM companies.
 </li>
 <li>
 Potential for contract extension based on performance and project needs.
 </li>
 </ul>
 
 
 
 
 
 Offer Details:
 
 
 <ul>
 <li>
 
 Commitments Required:
 
 40 hours per week with overlap 4 hours with PST
 </li>
 <li>
 
 Engagement type :
 
 Contractor assignment(no medical/paid leave)
 </li>
 <li>
 
 Duration of contract
 
 : 1 month possibility to extend
 </li>
 <li>
 
 Location
 
 : India, Bangladesh, Egypt, Kenya, Mexico, Ghana, Nigeria, and Turkey.
 </li>
 </ul>
 
 
 
 
 
 Evaluation Process:
 
 
 <ul>
 <li>
 Shortlisting based on qualifications and relevant professional experience.
 </li>
 </ul>
 
 
 
 
 Know amazing talent? Refer them at turing.com/referrals, and earn money from your network.
 
</div>

Supply Chain Operations Analyst - 50819

Nomura

<div>
 
 
 Nomura Overview:
 
 
 
 
 
 
 Nomura is a global financial services group with an integrated network spanning approximately 30 countries and regions. By connecting markets East &amp; West, Nomura services the needs of individuals, institutions, corporates and governments through its three business divisions: Wealth Management, Investment Management, and Wholesale (Global Markets and Investment Banking). Founded in 1925, the firm is built on a tradition of disciplined entrepreneurship, serving clients with creative solutions and considered thought leadership. For further information about Nomura, visit www.nomura.com.
 
 
 
 
 Nomura Services, India supports the group&rsquo;s global businesses. With world-class capabilities in trading support, research, information technology, financial control, operations, risk management and legal support, the firm plays a key role in facilitating the group&rsquo;s global operations.
 
 
 
 
 
 At Nomura, creating an inclusive workplace is a priority. Our approach to inclusion encompasses a variety of initiatives, including sensitization campaigns, implementing conducive policies &amp; programs, providing infrastructure support and engaging in community events. Over time, we have made meaningful progress in these areas, and this commitment has been well-recognized across the industry. We are proud recipients of the prestigious Top 10 Employers award by the India Workplace Equality Index (IWEI), IWEI Gold Employer of Choice awards, India CSR Leadership Award 2024 for Holistic Village Development Program and the YUVA Unstoppable Changemaker Awards.
 
 
 
 
 
 
 Division Overview:
 
 
 
 
 
 
 
 
 
 Global Markets Division: Based in Mumbai, the front-office team which works on a team extension model delivers pricing, modelling and risk management expertise to the Global Markets business. Founded as a centre of excellence, the group leads the way in price discovery and portfolio optimization techniques and is integral to the business&rsquo; aggressive revenue targets. The team is playing an integral role in structuring, pricing, risk management and new idea generation.
 
 
 
 
 
 
 
 
 
 
 
 Business Unit Overview:
 
 The Financial Resources management team within GM will be responsible for helping wholesale business management and CFO to analyse and optimise allocation of various financial resources across Nomura wholesale business. The team would cover all financial resources including and not limited to RWA (Market, Credit and Operational), BS, Leverage Ratio, NSFR, UF, MCO Charges, Client Return on Resources etc.
 
 
 
 
 
 
 What We Offer:
 
 
 
 
 
 <ul>
 <li>
 We support employee wellbeing by ensuring a sense of purpose and belonging.
 </li>
 <li>
 We offer a comprehensive range of wellbeing services which allows employees to get access to the assistance they need at any point in their wellbeing journey.
 </li>
 <li>
 Our bespoke benefits support employees and their family&rsquo;s holistic wellbeing and are inclusive of diverse identities and family structures.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Position Specifications:
 
 
 
 
 
 
 
 
 Corporate Title :
 
 Analyst/Associate
 
 
 
 Functional Title :
 
 Analyst/Associate
 
 
 
 Experience :
 
 1-5 years
 
 
 
 Qualification :
 
 BTech/CA/MTech
 
 
 
 
 
 
 Role &amp; Responsibilities:
 
 
 
 Work with risk and finance function for seamless sourcing of various financial resources information at granular level (as available).
 
 
 Ensure full understanding of how different resource metrics are computed (Leverage, RWA, NSFR, UF, et al), with focus on Leverage Ratio &ndash; On/Off Balance Sheet Exposures and overtime vet the data for accuracy / data quality (in conjunction with risk and finance)
 
 
 Understand and document key drivers of each financial resource in terms of business area / product.
 
 
 Develop return metrics for each financial resource with a view on riskiness / liquidity of WS portfolio.
 
 
 Identify opportunities to creatively optimize resource consumption.
 
 
 Identify opportunities to optimize deployment of resources across various parts of GM business.
 
 
 Develop scorecards / dashboards that help WS management in identifying best areas to deploy additional resources
 
 
 Develop ability to estimate available resource capacity while assessing new business opportunities
 
 
 
 
 
 
 Mind Set:
 
 
 
 
 
 
 <ul>
 <li>
 The person need to have understanding of current Leverage ratio &amp; other capital calculation methodologies.
 </li>
 <li>
 Strong analytical skills to work on large data along with being organized, detail oriented, good follow up skills.
 </li>
 <li>
 The person should have good communication skill as the job will involve interaction with Finance and Risk
 </li>
 <li>
 Knowledge of FRTB working will be preferred but it is not a deal breaker
 </li>
 </ul>
 
 
 Langugage Capability
 
 
 <ul>
 <li>
 English at Business level
 </li>
 <li>
 Should be a power user of Excel spreadsheets with strong analytical skills.
 </li>
 <li>
 Knowledge of Python, VBA and dashboarding tools like Power BI will be preferred but is not an absolute requirement.
 </li>
 </ul>
 
 
 
 
 
 
 
 We are committed to providing equal opportunities throughout employment including in the recruitment, training and development of employees. We prohibit discrimination in the workplace whether on grounds of gender, marital or domestic partnership status, pregnancy, carer&rsquo;s responsibilities, sexual orientation, gender identity, gender expression, race, color, national or ethnic origins, religious belief, disability or age.
 
 
 
 
 
 
 
 
 
 
 *Applying for this role does not amount to a job offer or create an obligation on Nomura to provide a job offer. The expression "Nomura" refers to Nomura Services India Private Limited together with its affiliates.
 
 
 
 
 
 
 
 *The benefits are subject to change and will be in accordance with Company&rsquo;s policies as may be applicable from time to time).
 
 
</div>

Global Markets – Financial Resources – Analyst/Associate

Asian Paints

<div>
 Location:
 
 
 Navi Mumbai, MH, IN
 
 
 Areas of Work: Research &amp; Technology Job Id: 14051
 
 
 
 Job Purpose
 
 
 
 The incumbent will be responsible for the development of new products and modification of existing products in waterproofing and construction chemicals range.
 
 
 
 Business Responsibility Areas
 
 
 
 
 (Please detail out at least 8-10 responsibility areas)
 
 
 
 <ul>
 <li>
 Conducting literature survey and experimental planning for new product development
 </li>
 <li>
 Processing of batches and testing of the experimental designs as per the test protocol defined
 </li>
 <li>
 Conducting application/ product validation trials at sites which can be located at different locations across India
 </li>
 <li>
 Testing and analysis of benchmark samples
 </li>
 <li>
 Evaluation of alternate RMs in the existing product formulation for suitability
 </li>
 <li>
 Support to plant w.r.t. standardization of the product at PEL/ OPC
 </li>
 <li>
 Maintaining appropriate and updated records of experiments in lab notebook &amp; Optiva
 </li>
 <li>
 Data tabulation and interpretation, technical report preparation and presentation at the review meetings
 </li>
 <li>
 Customer complaint handling and resolution
 
 
 </li>
 </ul>
 
 Key Performance Indicators
 
 
 
 Completion of all the activities assigned within stipulated timelines.
 
 
 Maintaining proper records of activities in the lab register as well as Optiva.
 
 
 Reproducibility and repeatability (R&amp;R) of the work done.
 
 
 
 Qualifications
 
 
 
 M.Sc / B.Tech. / M.Tech. in Paints or Polymer or Chemistry with 1-5 years of R &amp; D experience
 
 
 
 Previous Experience
 
 
 
 At least 1 year of R&amp;D experience in waterproofing and construction chemical materials and experience in development of admixture polymer synthesis is preferred.
 
 
 
 Functional Competencies
 
 
 
 Should be conversant with cementitious water proofing products and construction chemicals like Admixture, IWC, Tile Adhesives, Mortars and Grouts, Crack filler, liquid applied waterproofing coatings, Epoxy/PU based injection grouts, Membranes etc. Basic knowledge of waterproofing and related product development, application and testing, handling of instruments related to waterproofing and construction chemical will be desirable.
</div>

Research Executive N_R&T

Explore 172+ Data scientist quant research gm data ai lab in Mumbai this December. Find roles across top companies and apply now to boost your career.

172 data scientist quant research gm data ai lab jobs IN Mumbai

Data Scientist (Quant Research) - GM Data & AI Lab

Data Scientist

Application Scientist

Data Scientist

Supply Chain Operations Analyst - 50819

Global Markets – Financial Resources – Analyst/Associate

Research Executive N_R&T