business analyst

analyst

data analyst

ai research scientist

data analyst (bureau)

data 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 realise your potential amongst cutting edge leaders, and organisations 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
 
 
 
 
 
 
 
 As a member of the Operations Transformations team you will embark on an exciting and fulfilling journey with a group of intelligent and innovative globally aware individuals.
 
 
 We work in conjuncture with various institutions solving key business problems across a broad-spectrum roles and functions, all set against the backdrop of constant industry change.
 
 
 
 
 
 
 Your work profile
 
 
 
 
 
 
 
 Job Title
 
 : Data Scientist
 
 
 
 Location: Mumbai
 
 
 
 
 Total Experience
 
 : Minimum 5 years
 
 
 
 
 
 
 Required Skills:
 
 
 
 
 
 <ol>
 <li>
 B Tech/B.E. in Computer Science with Data Analytics/ AI, M.Sc. Data science
 </li>
 <li>
 Minimum experience of 5 Years in handling data science related projects
 </li>
 <li>
 Experience in using data science tools to simplify data wrangling, statistical modeling, and visualization tasks Technical experience in various aspects of data science - a creative problem solver with a strong skill in design and problem formulation; data curation; data acquisition, cleaning, and management; data interpretation, analysis; and the presentation and communication of results in an engaging and reproducible manner. Technical knowledge of one or more domains of development data such as economic statistics, demographic data, gender and social statistics, or other topics would be an advantage
 </li>
 <li>
 Technical knowledge of one or more distinct data sources and associated methods such as household surveys, administrative systems, geographic information systems, satellite imagery and other sensor data, &ldquo;big data&rdquo;, would be an advantage.
 </li>
 <li>
 Excellent working knowledge of modern statistics, scripting, and programming languages such as R/python/SPSS/power BI and SAS VIYA and associated software libraries is a must. They must have written and verbal communication skills
 </li>
 </ol>
 
 
 
 
 
 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>

Data Scientist

Turing

<div>
 A prominent US client is seeking Data Scientists to join their team. As a Data Scientist, you will play a critical role in conducting thorough peer code reviews, providing insightful feedback, and collaborating closely with researchers and stakeholders to align with project goals.
 
 
 
 Job Responsibilities
 
 
 
 <ul>
 <li>
 Write Python code to analyze public datasets and extract valuable insights.
 </li>
 <li>
 Communicate effectively with researchers to stay aligned with company objectives.
 </li>
 <li>
 Develop clear, well-documented code using Jupyter notebooks.
 </li>
 <li>
 Utilize public data sources (e.g., Kaggle, UN, US Government) to address business-related queries.
 
 
 </li>
 </ul>
 
 Job Requirements
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s/Master&rsquo;s degree in Engineering, Computer Science, or equivalent experience.
 </li>
 <li>
 Strong proficiency in Python for data science and data analysis.
 </li>
 <li>
 Comprehensive understanding of data science methodologies.
 </li>
 <li>
 Fluent in spoken and written English.
 </li>
 <li>
 Strong problem-solving and analytical skills.
 
 
 </li>
 </ul>
 
 Job Benefits
 
 
 
 <ul>
 <li>
 Collaborate with top experts worldwide and expand your professional network.
 </li>
 <li>
 Enjoy remote work flexibility.
 </li>
 <li>
 Competitive global-standard salary in USD.
 </li>
 <li>
 Contribute to projects pushing the boundaries of technology, keeping you at the forefront of AI advancements.
 
 
 </li>
 </ul>
 
 Selection Process
 
 
 
 <ul>
 <li>
 Shortlisted developers may be asked to complete an assessment.
 </li>
 <li>
 If you clear the assessment, you will be contacted for contract assignments with expected start dates, durations, and end dates.
 </li>
 <li>
 Some contract assignments require fixed weekly hours, averaging 20/30/40 hours per week for the duration of the contract assignment.
 </li>
 </ul>
</div>

Remote Data Scientist

<div>
 At EY, you&rsquo;ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we&rsquo;re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.
 
 
 
 EY GDS &ndash; Data and Analytics (D&amp;A) &ndash; Senior &ndash; Senior Data Scientist
 
 
 
 Role Overview: We are seeking a highly skilled and experienced Senior Data Scientist with a minimum of 3 - 7 years of experience in Data Science and Machine Learning, preferably with experience in NLP, Generative AI, LLMs, MLOps, Optimization techniques, and AI solution Architecture. In this role, you will play a key role in the development and implementation of AI solutions, leveraging your technical expertise. The ideal candidate should have a deep understanding of AI technologies and experience in designing and implementing cutting-edge AI models and systems. Additionally, expertise in data engineering, DevOps, and MLOps practices will be valuable in this role.
 
 
 
 Responsibilities:
 
 
 
 
 Your technical responsibilities:
 
 
 
 <ul>
 <li>
 Contribute to the design and implementation of state-of-the-art AI solutions.
 </li>
 <li>
 Assist in the development and implementation of AI models and systems, leveraging techniques such as Language Models (LLMs) and generative AI.
 </li>
 <li>
 Collaborate with stakeholders to identify business opportunities and define AI project goals.
 </li>
 <li>
 Stay updated with the latest advancements in generative AI techniques, such as LLMs, and evaluate their potential applications in solving enterprise challenges.
 </li>
 <li>
 Utilize generative AI techniques, such as LLMs, to develop innovative solutions for enterprise industry use cases.
 </li>
 <li>
 Integrate with relevant APIs and libraries, such as Azure Open AI GPT models and Hugging Face Transformers, to leverage pre-trained models and enhance generative AI capabilities.
 </li>
 <li>
 Implement and optimize end-to-end pipelines for generative AI projects, ensuring seamless data processing and model deployment.
 </li>
 <li>
 Utilize vector databases, such as Redis, and NoSQL databases to efficiently handle large-scale generative AI datasets and outputs.
 </li>
 <li>
 Implement similarity search algorithms and techniques to enable efficient and accurate retrieval of relevant information from generative AI outputs.
 </li>
 <li>
 Collaborate with domain experts, stakeholders, and clients to understand specific business requirements and tailor generative AI solutions accordingly.
 </li>
 <li>
 Conduct research and evaluation of advanced AI techniques, including transfer learning, domain adaptation, and model compression, to enhance performance and efficiency.
 </li>
 <li>
 Establish evaluation metrics and methodologies to assess the quality, coherence, and relevance of generative AI outputs for enterprise industry use cases.
 </li>
 <li>
 Ensure compliance with data privacy, security, and ethical considerations in AI applications.
 </li>
 <li>
 Leverage data engineering skills to curate, clean, and preprocess large-scale datasets for generative AI applications.
 
 
 </li>
 </ul>
 
 Requirements:
 
 
 
 <ul>
 <li>
 Bachelor's or Master's degree in Computer Science, Engineering, or a related field. A Ph.D. is a plus.
 </li>
 <li>
 Minimum 3-7 years of experience in Data Science and Machine Learning.
 </li>
 <li>
 In-depth knowledge of machine learning, deep learning, and generative AI techniques.
 </li>
 <li>
 Proficiency in programming languages such as Python, R, and frameworks like TensorFlow or PyTorch.
 </li>
 <li>
 Strong understanding of NLP techniques and frameworks such as BERT, GPT, or Transformer models.
 </li>
 <li>
 Familiarity with computer vision techniques for image recognition, object detection, or image generation.
 </li>
 <li>
 Experience with cloud platforms such as Azure, AWS, or GCP and deploying AI solutions in a cloud environment.
 </li>
 <li>
 Expertise in data engineering, including data curation, cleaning, and preprocessing.
 </li>
 <li>
 Knowledge of trusted AI practices, ensuring fairness, transparency, and accountability in AI models and systems.
 </li>
 <li>
 Strong collaboration with software engineering and operations teams to ensure seamless integration and deployment of AI models.
 </li>
 <li>
 Excellent problem-solving and analytical skills, with the ability to translate business requirements into technical solutions.
 </li>
 <li>
 Strong communication and interpersonal skills, with the ability to collaborate effectively with stakeholders at various levels.
 </li>
 <li>
 Understanding of data privacy, security, and ethical considerations in AI applications.
 </li>
 <li>
 Track record of driving innovation and staying updated with the latest AI research and advancements.
 
 
 </li>
 </ul>
 
 Good to Have Skills:
 
 
 
 <ul>
 <li>
 Apply trusted AI practices to ensure fairness, transparency, and accountability in AI models and systems.
 </li>
 <li>
 Utilize optimization tools and techniques, including MIP (Mixed Integer Programming).
 </li>
 <li>
 Drive DevOps and MLOps practices, covering continuous integration, deployment, and monitoring of AI models.
 </li>
 <li>
 Implement CI/CD pipelines for streamlined model deployment and scaling processes.
 </li>
 <li>
 Utilize tools such as Docker, Kubernetes, and Git to build and manage AI pipelines.
 </li>
 <li>
 Apply infrastructure as code (IaC) principles, employing tools like Terraform or CloudFormation.
 </li>
 <li>
 Implement monitoring and logging tools to ensure AI model performance and reliability.
 </li>
 <li>
 Collaborate seamlessly with software engineering and operations teams for efficient AI model integration and deployment.
 </li>
 <li>
 Familiarity with DevOps and MLOps practices, including continuous integration, deployment, and monitoring of AI models.
 
 
 </li>
 </ul>
 
 EY | Building a better working world
 
 
 
 EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.
 
 
 Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.
 
 
 Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.
</div>

EY - GDS Consulting - AI And DATA -Gen AI - Senior

BNP Paribas

<div>
 
 About BNP Paribas India Solutions
 
 
 
 Established in 2005, BNP Paribas India Solutions is a wholly owned subsidiary of BNP Paribas SA, European Union&rsquo;s leading bank 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 10000 employees, to provide support and develop best-in-class solutions.
 
 
 
 About BNP Paribas Group
 
 
 
 BNP Paribas is the European Union&rsquo;s leading bank and key player in international banking. It operates in 65 countries and has nearly 185,000 employees, including more than 145,000 in Europe. The Group has key positions in its three main fields of activity: Commercial, Personal Banking &amp; Services for the Group&rsquo;s commercial &amp; personal banking and several specialised businesses including BNP Paribas Personal Finance and Arval; Investment &amp; Protection Services for savings, investment, and protection solutions; and Corporate &amp; Institutional Banking, focused on corporate and institutional clients. Based on its strong diversified and integrated model, the Group helps all its clients (individuals, community associations, entrepreneurs, SMEs, corporates and institutional clients) to realize their projects through solutions spanning financing, investment, savings and protection insurance. In Europe, BNP Paribas has four domestic markets: Belgium, France, Italy, and Luxembourg. The Group is rolling out its integrated commercial &amp; personal banking model across several Mediterranean countries, Turkey, and Eastern Europe. As a key player in international banking, the Group has leading platforms and business lines in Europe, a strong presence in the Americas as well as a solid and fast-growing business in Asia-Pacific. BNP Paribas has implemented a Corporate Social Responsibility approach in all its activities, enabling it to contribute to the construction of a sustainable future, while ensuring the Group's performance and stability
 
 
 Commitment to Diversity and Inclusion
 
 
 At BNP Paribas, we passionately embrace diversity and are committed to fostering an inclusive workplace where all employees are valued, respected and can bring their authentic selves to work. We prohibit Discrimination and Harassment of any kind and our policies promote equal employment opportunity for all employees and applicants, irrespective of, but not limited to their gender, gender identity, sex, sexual orientation, ethnicity, race, colour, national origin, age, religion, social status, mental or physical disabilities, veteran status etc. As a global Bank, we truly believe that inclusion and diversity of our teams is key to our success in serving our clients and the communities we operate in.
 
 
 
 About Business Line/Function
 
 
 
 FRESH is a unique organization within the BNP PARIBAS IT Group. FRESH is responsible for the alignment of IT programs with the strategy and objectives of Finance and Risk.
 
 
 With more than 400 team members located in India (Mumba&iuml;, Bengalore and Chenna&iuml;), the FRESH ISPL hub operates as a platform providing resources and expertise to deliver on tasks and projects in all areas of Finance, Risk and ALM-Treasury. This landscape is constantly growing due to major regulatory reforms, including the implementation of ESG commitments, digital transformation with the accelerated switch towards cloud technologies and major global projects that will shape the transformation of BNP Paribas.
 
 
 The BOOST-IDeA team, as part of the BES (CONNECT) umbrella within FRESH division, is a privileged partner of the Finance&amp;Strategy and RISK Functions, a catalyst for efficiency and operational excellence.
 
 
 It is composed of about 75 people and deployed on three continents, operating in close proximity with the business teams members: managers and owners of the operational processes.
 
 
 In particular, the [AI Center of Expertise] team aims to support our business partners in the collection/identification of eligible AI topics, the definition and design of the tooling strategy, the implementation of the solution and its maintenance in production environment.
 
 
 
 Job Title
 
 
 
 Senior Business Analyst - AI-ML
 
 
 
 Date
 
 
 
 12/08/2025
 
 
 
 Department
 
 
 
 ITG &ndash; ITT&amp;F
 
 
 Location:
 
 
 Mumbai
 
 
 
 Business Line / Function
 
 
 
 FRESH - CONNECT-BOOST
 
 
 
 Reports To
 
 
 
 (Direct)
 
 
 Project Manager (ISPL)
 
 
 
 Grade
 
 
 
 (if applicable)
 
 
 (Functional)
 
 
 Onshore Manager (Paris)
 
 
 
 Number Of Direct Reports
 
 
 
 NA
 
 
 
 Directorship / Registration
 
 
 
 NA
 
 
 Position Purpose
 
 
 The chosen candidate will assume, in close coordination with the Head on the [AI Center of Expertise]; the role of "Senior Data Scientist BA" participating, along with the whole team, in supporting the business teams in the experimentation and industrialization of innovative projects (AA) i.e. from the POC to project instruction phases and implementation and deployment in the BNPP ITG Cloud infrastructure.
 
 
 
 Responsibilities
 
 
 
 Direct Responsibilities
 
 
 
 They Include Following Activities
 
 
 
 <ul>
 <li>
 Participate in all workshops related to gathering of needs and presentation of requirements
 </li>
 <li>
 Challenge requirements providing full and accurate explanation to stakeholders
 </li>
 <li>
 Act as a bridge between business teams and our IT team translating needs into an IT solution
 </li>
 <li>
 Participate in the definition of the target architecture
 </li>
 <li>
 Contribute to the design of the associated AI solution to meet user's needs
 </li>
 <li>
 Follow the Proof of Concept if needed to experiment new models, algorithms, technical assets, &hellip;
 </li>
 <li>
 Monitor the industrialization process following ITG guidelines with the help of the project manager (project launching, instruction, &hellip;);
 </li>
 <li>
 Build the test strategy alongside the business stakeholders
 </li>
 <li>
 Coordinate the whole testing phase with underlined proper communication
 </li>
 <li>
 Get accustomed with methodology (Agile Scrum) and tooling used (JIRA, Octane, &hellip;) and act as a vector of their proper usage
 </li>
 <li>
 Exchange with the various ITG experts to reach the full understanding of AI landscape (Service offers available, technical and security requirements, guidelines, &hellip;)
 </li>
 <li>
 Identify skills needed depending on the characteristics of the project
 </li>
 <li>
 Identify potential new skills needed and coordinate with Head of CoE to anticipate needed trainings / hirings
 
 
 </li>
 </ul>
 And also dedicated activities in proximity with the Product Owner of the CoE including:
 
 
 <ul>
 <li>
 Manage Backlog (help in managing the CoE global backlog)
 </li>
 <li>
 Design Feature (Design Opus/Features/User Stories (US) specifically tailored for AI applications)
 </li>
 <li>
 Improve continuously prioritization methodology (Advising the Product Owner on prioritization methods based on estimated value is critical in AI projects due to their complexity and potential impact on operations)
 
 
 </li>
 </ul>
 Transversal Responsibilities
 
 
 <ul>
 <li>
 Acculturate our F&amp;R-Solutions colleagues and our business partners, on AI capabilities helping them getting basic/medium knowledge and enlighten them on its benefits.
 </li>
 <li>
 Act as the first point of contacts for local business partners in the collect and first-level assessment of potential AI-eligible needs.
 
 
 </li>
 </ul>
 Contributing Responsibilities
 
 
 <ul>
 <li>
 Participate to the "Ideation" phase used to identify pain points and possible topics eligible to AI
 </li>
 <li>
 Participate to the Identification of potential new skills/competencies needed and alert Head of CoE accordingly.
 
 
 </li>
 </ul>
 Technical &amp; Behavioral Competencies
 
 
 
 Candidate Must Justify Relevant Experience On Following Streams
 
 
 
 <ul>
 <li>
 Minimum of 5 years as a Business Analyst as member of an IT team in charge of the implementation and maintenance of IT solutions. Strong knowledge and experience in conducting, at least, following phases of a project is required: requirements gathering/clarification, solution design, and UAT tests. Also, significant experience in Agile is needed, especially Scrum methodology.
 </li>
 <li>
 Minimum of 2 years&rsquo; experience on AI projects having had the opportunity to work on a variety of topics: Machine Learning, NLG, NLP, LLM, MLLM, IDP, OCR, ...
 
 
 </li>
 </ul>
 Native English is required.
 
 
 
 Following Skills Are Required
 
 
 
 Technically
 
 
 <ul>
 <li>
 On below listed areas (Machine Learning, NLG, NLP, LLM, MLLM, ...)
 </li>
 <li>
 Knowledge of existing and available algorithms/models
 </li>
 <li>
 Transversally
 </li>
 <li>
 Minimum level of Python coding
 </li>
 <li>
 Domino platform
 </li>
 <li>
 Understand the BNPP Technical Context
 </li>
 <li>
 Structuring application following "DevOps" guidelines allowing industrialization and scale-up
 </li>
 <li>
 Take ownership and use the services offered by the Group
 
 
 </li>
 </ul>
 
 Specific Qualifications (if Required)
 
 
 
 Candidate must have a Bachelor degree in Computer Science or Data Engineering or Data Science.
 
 
 5+ years experience required
 
 
 
 Skills Referential
 
 
 
 Behavioural Skills: (Please select up to 4 skills)
 
 
 Ability to collaborate / Teamwork
 
 
 Client focused
 
 
 Be results oriented
 
 
 Creativity &amp; Innovation / Problem solving
 
 
 Transversal Skills: (Please select up to 5 skills)
 
 
 Ability to understand, explain and lead change
 
 
 Analytical Ability
 
 
 Ability to anticipate business / strategic evolution
 
 
 Ability to develop and adapt a process
 
 
 Creativity &amp; Innovation / Ability to solve problems
 
 
 
 Education Level
 
 
 
 Bachelor Degree or equivalent
 
 
 Experience Level
 
 
 At least 5 years
</div>

Senior AI-ML Business Analyst

IDFC FIRST Bank

<div>
 
 
 Job role:
 
 Data Analyst
 
 
 
 Department:
 
 New Age &ndash; Data &amp; Analytics
 
 
 
 Purpose:
 
 
 
 For the role of a data analyst, the candidate needs to gain a deep understanding of the business, identify scope to use analytical solutions to aid business decision making and drive business outcomes. This is a techno-functional role where the candidate will have the opportunity to interact closely with the business stakeholders as well as explore new age analytical techniques.
 
 
 
 Responsibilities:
 
 
 <ul>
 <li>
 Scope business requirements and priorities through thorough understanding of the retail portfolio
 </li>
 <li>
 Gain expertise over data to derive meaningful insights. This includes in-depth exploration and comprehension of different data fields from the source systems and data marts
 </li>
 <li>
 Design and implement analytical solutions to meet business needs
 </li>
 <li>
 Explore different new age algorithms and advanced computational methods to develop robust models and analytical frameworks
 </li>
 <li>
 Perform case reviews to innovate on new variable ideas
 </li>
 <li>
 Create processes and controls to ensure that data, analyses, strategies and recommendations are accurate
 </li>
 <li>
 Have an understanding of model governance and key model/variable tracking metrics
 </li>
 <li>
 Challenge status quo to bring about efficient outcomes to existing processes
 </li>
 <li>
 Interact closely and build strong relationships with multiple stakeholder teams to bring consensus and reach conclusive outcomes
 </li>
 <li>
 Understand the big picture of how analytical solutions drive business outcomes
 </li>
 </ul>
 
 
 Key Result Areas:
 
 
 <ul>
 <li>
 Development robust analytical solutions/models
 </li>
 <li>
 Timely delivery of projects
 </li>
 <li>
 Effective partnership with key stakeholders
 </li>
 </ul>
 
 
 Qualifications:
 
 
 <ul>
 <li>
 Post-graduation(Tier 1) with a minimum of 4+ years of credit or risk management experience
 </li>
 <li>
 Experience and understanding of advanced analytical tools such as SAS, Python, Spark, Big Data environments
 </li>
 </ul>
 
 
</div>

Data Analyst

<div>
 
 Sia is a next-generation, global management consulting group. Founded in 1999, we were born digital. Today our strategy and management capabilities are augmented by data science, enhanced by creativity and driven by responsibility. We&rsquo;re optimists for change and we help clients initiate, navigate and benefit from transformation. We believe optimism is a force multiplier, helping clients to mitigate downside and maximize opportunity. With expertise across a broad range of sectors and services, our consultants serve clients worldwide. Our expertise delivers results. Our optimism transforms outcomes.
 
 
 
 
 Heka.ai is the independent brand of Sia Partners dedicated to AI solutions. We host many AI-powered SaaS solutions that can be combined with consulting services or used independently, to provide our customers with solutions at scale.
 
 
 
 
 
 
 Job Description
 
 
 
 
 We are hiring a Power BI Developer to support our global internal teams (Finance, HR, Strategy, Corporate Functions) by delivering high-impact business intelligence dashboards, datasets, and analytics solutions. This role is critical for strengthening our internal reporting systems and driving data-backed decision-making across the organization.
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 <ul>
 <li>
 
 Design, maintain, and enhance internal Power BI dashboards and analytics for Corporate Finance and other functions.
 
 
 
 </li>
 </ul>
 <ul>
 <li>
 
 Manage Power BI Service administration tasks, including access control, workspace setup, and gateway configurations.
 
 
 
 </li>
 </ul>
 <ul>
 <li>
 
 Develop reusable data models using Power BI add-ons (Tabular Editor, DAX Studio, ALM Toolkit).
 
 
 
 </li>
 </ul>
 <ul>
 <li>
 
 Perform data ingestion, transformation, and enrichment using SQL/Python for structured reporting.
 
 
 
 </li>
 </ul>
 <ul>
 <li>
 
 Support cross-functional stakeholders with on-demand reporting requests and business data exploration.
 
 
 
 </li>
 </ul>
 <ul>
 <li>
 
 Maintain documentation for dashboards, models, and datasets; conduct demos, training sessions, and technical watch initiatives.
 
 
 
 </li>
 </ul>
 <ul>
 <li>
 
 Respond to ad-hoc requests across Power Platform tools (PowerApps, Power Automate).
 
 
 
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 
 Education: Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Information Systems, Data Analytics, or related field.
 
 
 
 </li>
 </ul>
 <ul>
 <li>
 
 Experience: 3-6 years of experience developing with Power BI in a production or enterprise setting.
 
 
 
 </li>
 </ul>
 <ul>
 <li>
 
 Hands-on experience with cloud environments (Azure preferred; AWS/GCP a plus).
 
 
 
 </li>
 </ul>
 <ul>
 <li>
 
 Familiarity with UI/UX design principles for dashboards.
 
 
 
 </li>
 </ul>
 <ul>
 <li>
 
 Strong proficiency in:
 
 
 
 </li>
 </ul>
 <ul>
 <li>
 
 Power BI tools: DAX, Power Query (M), Tabular Models
 
 
 
 </li>
 </ul>
 <ul>
 <li>
 
 Data handling: SQL, Python
 
 
 
 </li>
 </ul>
 <ul>
 <li>
 
 ETL tools (preferred): Dataiku, Azure Data Factory, SSIS
 
 
 
 </li>
 <li>
 
 
 Certifications:
 
 
 
 
 </li>
 <li>
 
 Mandatory: PL-300 (Microsoft Certified: Data Analyst Associate)
 
 
 
 </li>
 <li>
 
 Preferred: PL-200: Power Platform Functional Consultant or PL-600: Power Platform Solution
 
 
 
 </li>
 </ul>
 
 
 Soft Skills
 
 
 
 
 <ul>
 <li>
 
 Strong analytical and problem-solving mindset with attention to detail.
 
 
 
 </li>
 </ul>
 <ul>
 <li>
 
 Collaborative team player with ability to work across functions and geographies.
 
 
 
 </li>
 </ul>
 <ul>
 <li>
 
 Proactive and self-motivated to own deliverables end-to-end.
 
 
 
 </li>
 </ul>
 <ul>
 <li>
 
 Excellent verbal and written communication skills in English, French is a plus.
 
 
 
 
 
 </li>
 </ul>
 
 Additional Information
 
 
 
 
 
 What We Offer
 
 
 
 
 <ul>
 <li>
 
 Opportunity to lead cutting-edge AI projects in a global consulting environment.
 
 
 
 </li>
 <li>
 
 Leadership development programs and training sessions at our global centers.
 
 
 
 </li>
 <li>
 
 A dynamic and collaborative team environment with diverse projects.
 
 
 
 </li>
 </ul>
 
 
 Position based in Mumbai (onsite)
 
 
 
 
 
 Sia is an equal opportunity employer. All aspects of employment, including hiring, promotion, remuneration, or discipline, are based solely on performance, competence, conduct, or business needs.
 
</div>

Morgan Stanley

<div>
 
 About Morgan Stanley
 
 
 
 Morgan Stanley is a leading global financial services firm providing a wide range of investment banking, securities, wealth management and investment management services. With offices in more than 41 countries, the Firm's employees serve clients worldwide including corporations, governments, institutions, and individuals. For further information about Morgan Stanley, please visit www.morganstanley.com.
 
 
 
 About Parametric
 
 
 
 Parametric is part of Morgan Stanley Investment Management, the asset management division of Morgan Stanley. We partner with advisors, institutions, and consultants to build portfolios focused on what's important to them and their clients. A leader in custom solutions for more than 30 years, we help investors access efficient market exposures, solve implementation challenges, and design multi-asset portfolios that respond to their evolving needs. We also offer systematic alpha and alternative strategies to complement clients' core holdings.
 
 
 This role is part of Parametric's hybrid working model, which requires working in the office 3 days a week and remotely the remaining days of the week.
 
 
 
 About The Team
 
 
 
 Parametric's fixed income solutions can make it easy to navigate complex markets while customizing portfolio exposure to potentially fit investment goals. We're an industry pioneer with over 30+ years of Fixed Income Experience. Our Separately Managed Accounts (SMAs) make custom fixed income portfolios simple and scalable.
 
 
 
 About The Role
 
 
 
 The role will focus primarily on driving implementation of SMA portfolios at scale, leveraging tools and technologies built in-house for portfolio management and trading. The SMA strategies include all strategies managed by the broader Fixed Income team. Additionally, the role will focus on quantitative research and data science projects to develop and grow the SMA fixed income strategies. Finally, the role will require the individual to operate in a project management capacity on development initiatives in partnership with investment technology.
 
 
 
 Primary Responsibilities
 
 
 
 <ul>
 <li>
 SMA Implementation: Collaborate with portfolio managers and traders on day-to-day investment responsibilities including monitoring portfolio positioning, execution, cash management and compliance. Push forward the implementation process related to trade output review and prioritization
 </li>
 <li>
 Portfolio Construction and Product Development:: Develop and maintain new and existing portfolio construction algorithms, Support and work with product team closely by modeling new strategies, and work with investment technology team to help with workflow automation, data processing and general quantitative projects for all portfolio management teams.
 </li>
 <li>
 Project Management and Product Ownership: Work closely with investment technology teams and project manage working closely with business team and interfacing with developers daily to execute strategic initiatives. Prototype trading and portfolio construction logic for the purpose of translation to production applications
 </li>
 <li>
 Quantitative Research and Data Science: Conceptualize and aid in innovative research studies, such as applying LLM/ML to generate investment ideas. Engage in the team&rsquo;s quantitative investment process by collecting, cleaning, processing and analyzing large datasets
 </li>
 <li>
 Collaborate and work on long-term research projects with supervision and support from the team&rsquo;s portfolio managers and quantitative analysts.
 
 
 </li>
 </ul>
 
 Job Qualifications
 
 
 
 SKILL SET
 
 
 Required Experience: 3+ years
 
 
 Skill set: Python/SQL
 
 
 
 Primary Skills
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or master&rsquo;s degree in quantitative fields such as Computer Science, Mathematics, Statistics or Financial Engineering
 </li>
 <li>
 3+ years of related work experience in investments, qualitative research, or a similar field.
 </li>
 <li>
 Knowledge of object-oriented programing, Python 3.x.
 </li>
 <li>
 SQL Server, MySql or other relational database experience.
 </li>
 <li>
 Demonstrated interest in investments and quantitative research.
 </li>
 <li>
 Strong analytics background.
 </li>
 <li>
 Ability to think creatively and propose new ways to employ quantitative tools.
 </li>
 <li>
 Ability to concisely communicate quantitative concepts.
 </li>
 <li>
 Ability to work independently and as a member of a team.
 </li>
 <li>
 Ability to work well in a highly social and collaborative environment across multiple geographies.
 
 
 </li>
 </ul>
 
 Good To Have Skills
 
 
 
 <ul>
 <li>
 NLP/LLM, Machine Learning or AI knowledge, cloud technology a plus.
 </li>
 <li>
 Data tools like Tableau, Power BI, Alteryx.
 </li>
 <li>
 Professional certifications such as CQF, CFA or FRM are desirable.
 
 
 </li>
 </ul>
 Parametric believes each member of our organization makes a significant contribution to our success. That contribution should not be limited by the assigned responsibilities. Therefore, this job description is designed to outline primary duties and qualifications. It is our expectation that every member of our team will offer his/her/their services wherever and whenever necessary to ensure the success of our client services.
 
 
 
 What You Can Expect From Morgan Stanley
 
 
 
 We are committed to maintaining the first-class service and high standard of excellence that have defined Morgan Stanley for over 89 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren&rsquo;t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you&rsquo;ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There&rsquo;s also ample opportunity to move about the business for those who show passion and grit in their work.
 
 
 To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser.
 
 
 Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximize their full potential. Our skilled and creative workforce is comprised of individuals drawn from a broad cross section of the global communities in which we operate and who reflect a variety of backgrounds, talents, perspectives, and experiences. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting, developing, and advancing individuals based on their skills and talents.
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Quantitative Analyst -Associate- Parametric

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