217 Model Development Jobs - Page 2

: Kotak811 is a completely digital, in-your-phone, mobile bank. It was founded in 2016 to help India adapt, evolve, and eventually overcome the barrier of digital banking and make it accessible to all. Our sole aim is to bring you the excitement and ease of digital banking with the trust and reassurance of Kotak Mahindra Bank’s experience and legacy. Incubated by Kotak Mahindra Bank, Kotak811 is where innovation meets banking to offer the user the most seamless banking experience there has ever been. (Kotak 811 is a digital zero balance savings account that can be opened online by everyone (Indian residents only) which acts as a one-stop solution for all your financial needs and day to-day transactions.) Equal Employment OpportunityAll employment decisions shall be made without regard to age, race, creed, colour, religion, sex, national origin, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by the state, or local law. Kotak 811, is committed to providing equal employment opportunities RoleData Scientist 2 Key responsibilities: 1- Development of Predictions Model using ML algorithms in entire customer journey and life cycle (Acquisition, Behaviour, Collections, Propensity, Marketing, Fraud, etc.) 2- Design and Strategy Development to offer best in class Assets Products to customers. 3- Building Prediction Model using big data from digital signals, alternate data and beyond. 4- Partnering, exploring and expanding solutions with different data providers and Companies. 5- Ownership and Responsibility to lead/manage large scale projects/model Development & Deployment. Skill Sets & key requirements: 1- Advanced degree in an analytical field (e.g., Data Science, Computer Science, Engineering, Applied Mathematics, Statistics, Data Analysis) or substantial hands on work experience in the space 2- Should have worked in Banking/Fintech domain in Credit/Fraud Risk with strong understanding of Bureau Data & in-house banking Data. 3- Advance Coding skills with at least one of these- Python/SQL/Pyspark languages 1- Strong understanding of the Machine Learning lifecycle - feature engineering, training, validation, scaling, deployment, scoring, monitoring, and feedback loop. 2- Have worked across end to end in model design, development, validation, documentation & deployment. 3- Create great data stories with expertise in robust EDA and statistical inference

Role Value: This role plays a pivotal part in driving innovation through the development of advanced, ML-driven technologies. By aligning business goals with product strategy, the Product Owner helps shape high-impact solutions that bring measurable value to both internal stakeholders and end users. Key Responsibilities: Collaborate closely with Machine Learning and Engineering teams on advanced data extraction technologies (e.g., no-OCR, VLM-based extraction) Translate business needs into epics and user stories for development teams Align product goals with company strategy in coordination with Product Management Maintain a well-prioritized product backlog based on business value Work with stakeholders and data analysts to ensure data-driven product decisions Track product progress, performance, and deliverables across sprints Communicate effectively with globally distributed teams and stakeholders Stay updated with agile practices, ML/AI trends, and industry standards Required Experience & Qualifications: 3+ years as a Product Owner in an agile environment Familiarity with AI/ML patterns (e.g., VLM, LLMs) and experience working with ML-driven teams Technical aptitude with a fast-learning mindset Strong data orientation and analytical thinking Agile and/or SAFe framework knowledge Excellent attention to detail and communication skills Comfortable working in international, cross-functional environments Proficient in spoken and written English Nice to Have: Exposure to Regulatory Compliance Product Marketing experience Strong cross-cultural communication Advanced data analysis capabilities Knowledge of Biometric Security Standards Key Traits: Energetic, teachable, and eager to learn Follows SOPs with accuracy and discipline Collaborative and customer-focused Takes ownership with a proactive, problem-solving attitude Resilient and positive under pressure Role & responsibilities Preferred candidate profile

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : SAP ABAP Development for HANA Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. Your typical day will involve collaborating with various teams to ensure that application development aligns with business objectives, overseeing project timelines, and facilitating communication among stakeholders to drive successful outcomes. You will also engage in problem-solving activities, providing guidance and support to your team while ensuring adherence to best practices in application development. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Mentor junior team members to enhance their skills and knowledge.- Continuously assess and improve team processes to increase efficiency. Professional & Technical Skills: - Must To Have Skills: Proficiency in SAP ABAP Development for HANA.- Strong understanding of application design principles and methodologies.- Experience with SAP HANA database and its integration with ABAP.- Familiarity with Agile development practices and project management tools.- Ability to troubleshoot and resolve technical issues effectively. Additional Information:- The candidate should have minimum 7.5 years of experience in SAP ABAP Development for HANA.- This position is based at our Pune office.- A 15 years full time education is required. Project requirement:7-10 years of ABAP Development experienceS4 experience is a must with use of model development standards and technology (Fiori, CDS, Eclipse) including RIEFW (Report, Interface, Enhancement, Forms, Workflows).Must have worked in at least 2 separate modules of S/4 (MM, PP, SD, FI/CO)Preferability worked on at least 1 S4 end-to-end implementation.Should be playing a leadership role today.70% on incidents and 30% on projects.Dependable, Reliable, Coachable.Exhibited ability to follow established guidelines at all times.Ability to work and manage priorities independently.Work with other Trinseo analysts. Qualification 15 years full time education

Senior analyst with ML model experience for Regions Bank Job Description: Primary Responsibilities for a Risk Data Scientist on the BSA/AML/OFAC Model Development and Monitoring Team: Design and develop transaction monitoring scenarios. Improves segmentation for the scenarios/models using techniques such as clustering. Executes periodic tuning for the threshold parameters of the scenarios through sample collection. Develops post processing models to reduce the number of false positives generated by the scenarios using techniques such as rare event logistic regression and machine learning algorithms. Researches and develops algorithms that incorporates fuzzy logic for OFAC sanction screening and other types of screening processes. Develops post processing models that incorporate Natural Language Processing techniques to reduce the number of false positives. Implementation of models. Develops and executes ongoing monitoring plan to monitor the performance of the models. Documentation of the model development, especially the implementation process. Supports model validation activities. Ad hoc analysis to address requests from business partners. Requirements Bachelor s degree in Statistics, Data Science, Operations Research, Industrial Engineering, Mathematics, or Physics, AND six (6) years related experience. Master s degree in Statistics, Data Science, Operations Research, Industrial Engineering, Mathematics, or Physics, AND four (4) years related experience. OR PhD degree in Statistics, Operations Research, Industrial Engineering, Mathematics, or Physics, AND two (2) years related experience. Skills and Competencies High proficiency with Python, R, SAS, and SQL. Advanced data sourcing and management skills. Enhanced experience with web scraping. Knowledge and experience with CDSW platform. Experience with software development, especially deployment. Experience with classification models. Location: DGS India - Bengaluru - Manyata N1 Block Brand: Merkle Time Type: Full time Contract Type: Permanent

Senior analyst with ML model experience for Regions Bank Job Description: Primary Responsibilities for a Risk Data Scientist on the BSA/AML/OFAC Model Development and Monitoring Team: Design and develop transaction monitoring scenarios. Improves segmentation for the scenarios/models using techniques such as clustering. Executes periodic tuning for the threshold parameters of the scenarios through sample collection. Develops post processing models to reduce the number of false positives generated by the scenarios using techniques such as rare event logistic regression and machine learning algorithms. Researches and develops algorithms that incorporates fuzzy logic for OFAC sanction screening and other types of screening processes. Develops post processing models that incorporate Natural Language Processing techniques to reduce the number of false positives. Implementation of models. Develops and executes ongoing monitoring plan to monitor the performance of the models. Documentation of the model development, especially the implementation process. Supports model validation activities. Ad hoc analysis to address requests from business partners. Requirements Bachelor s degree in Statistics, Data Science, Operations Research, Industrial Engineering, Mathematics, or Physics, AND six (6) years related experience. Master s degree in Statistics, Data Science, Operations Research, Industrial Engineering, Mathematics, or Physics, AND four (4) years related experience. OR PhD degree in Statistics, Operations Research, Industrial Engineering, Mathematics, or Physics, AND two (2) years related experience. Skills and Competencies High proficiency with Python, R, SAS, and SQL. Advanced data sourcing and management skills. Enhanced experience with web scraping. Knowledge and experience with CDSW platform. Experience with software development, especially deployment. Experience with classification models. Location: DGS India - Bengaluru - Manyata N1 Block Brand: Merkle Time Type: Full time Contract Type: Permanent

Req ID: 26-088 Come Join Our Passionate Team! At Barracuda, we make the world a safer place. We believe every business deserves access to cloud-enabled, enterprise-grade security solutions that are easy to buy, deploy, and use. We protect email, networks, data and applications with innovative solutions that grow and adapt with our customers journey. More than 200,000 organizations worldwide trust Barracuda to protect them in ways they may not even know they are at risk so they can focus on taking their business to the next level. We know a diverse workforce adds to our collective value and strength as an organization. Barracuda Networks is proud to be an employer that complies with all applicable national, state and local laws pertaining to nondiscrimination and equal opportunity regardless of race, gender, religion, sex, sexual orientation, national origin, or disability. Envision yourself at Barracuda We at Barracuda are at the forefront of protecting our customers from email-borne threats and data leaks. As an Analyst you will be having an opportunity to work with a core team of Threat Analysts who are specialized in stopping malicious traffic and content from reaching our customers. What you ll be working on: Analyze attack patterns and data trends, identifying drift and anomalies. Conduct root cause analysis and develop hypotheses for missed attacks. Report findings to the ML team with impact assessments. Evaluate feature importance and model effectiveness. Build reports, queries, and dashboards for insights. Eligibility Criteria: Freshers from BTECH/BE in AI/ML only (No CSE/IT) Minimum with 70% aggregate in 10th, 12th & BTECH/BE Immediate Joiners from 2024/2025 pass-out batches. What you bring to the role: Knowledge in Python, Scala, SQL, Databricks, and Spark. Hands-on experience in ML model development (MLLib, TensorFlow, PyTorch, Scikit). Understanding of email security (spam/phishing) is a plus. Strong analytical, communication, and adaptability skills. Willingness to work in a fast-paced, shift-based environment. What you ll get from us: A team where you can voice your opinion, make an impact, and where you and your experience are valued. Internal mobility - there are opportunities for cross training and the ability to attain your next career step within Barracuda. In addition, you will receive equity, in the form of non-qualifying options. #LI-hybrid

. Ensure completion of experiments and generate accurate and reproducible data from experiments. Develop relevant models and validation of the same. Supervise and execute laboratory / pilot plant experiments pertaining to the relevant research area such as sample preparation using various methods, sample characterization using various analysis & evaluation of the concerned samples. Organize facilities for experiments in research such as chemicals, equipment, analytical methods etc. Participate in pilot plant operations / studies, utilize results as boundary conditions for model development Support to plant operations Collect data and conduct relevant analysis Uploading reports on portal Preparation of Internal Technical Report Education Requirement : PhD in Biology/Chemistry/Chemical Engineering with specialization in relevant research area Experience Requirement : Minimum 2-3 years of research experience Skills & Competencies : Conduct literature survey in the area of research and compile information for dissemination & critical analysis. Develop work method and prepare SOPs for experiments in research including designing & planning of experiments. Prepare/Use simulation models. Study technology offers/ process engineering documents Perform process engineering design activities such as using relevant tools Familiar with applicable guidelines /codes / standards / legislations relevant to field of research .

Quantitative development to implement and optimize algorithms for asset pricing, risk management, and trading strategies and migrate analytics from c++ to Python Writes secure and high-quality code using Python or C++ with limited guidance Required Candidate profile 3+ years of Python, C++ Quantitative finance background with strong experience in bonds Experience with calculating Risk or Pricing of asset classes

Skill required: Delivery - Credit Risk Modeling Designation: I&F Decision Sci Practitioner Sr Analyst Qualifications: Any Graduation Years of Experience: 5 to 8 years About Accenture Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. Visit us at www.accenture.com What would you do Data & AICredit risk modelling refers to the use of financial models to estimate losses a firm might suffer in the event of a borrower s default. What are we looking for Primary Skills: Banking, Financial Services Credit Risk Model Development Market Risk Modelling Financial Regulations Quantitative AnalysisSecondary Skills: SQL SAS Python R Tableau VBA Qlik Sense Snowflake MatillionSoft Skills: Adaptable and flexible Commitment to quality Ability to work well in a team Agility for quick learning Written and verbal communication Roles and Responsibilities: In this role you are required to do analysis and solving of increasingly complex problems Your day-to-day interactions are with peers within Accenture You are likely to have some interaction with clients and/or Accenture management You will be given minimal instruction on daily work/tasks and a moderate level of instruction on new assignments Decisions that are made by you impact your own work and may impact the work of others In this role you would be an individual contributor and/or oversee a small work effort and/or team Qualification Any Graduation

Skill required: Delivery - Credit Risk Modeling Designation: I&F Decision Sci Practitioner Specialist Qualifications: Any Graduation Years of Experience: 7 to 11 years About Accenture Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. Visit us at www.accenture.com What would you do Data & AICredit risk modelling refers to the use of financial models to estimate losses a firm might suffer in the event of a borrower s default. What are we looking for Primary Skills: Banking, Financial Services Credit Risk Model Development Market Risk Modelling Financial Regulations Quantitative AnalysisSecondary Skills: SQL SAS Python R Tableau VBA Qlik Sense Snowflake MatillionSoft Skills: Adaptable and flexible Commitment to quality Ability to work well in a team Result Oriented Problem Solving Skills Roles and Responsibilities: In this role you are required to do analysis and solving of moderately complex problems May create new solutions, leveraging and, where needed, adapting existing methods and procedures The person would require understanding of the strategic direction set by senior management as it relates to team goals Primary upward interaction is with direct supervisor May interact with peers and/or management levels at a client and/or within Accenture Guidance would be provided when determining methods and procedures on new assignments Decisions made by you will often impact the team in which they reside Individual would manage small teams and/or work efforts (if in an individual contributor role) at a client or within Accenture Qualification Any Graduation

Join Our Team: Model Risk Management Financial Crime Analytics At Deloitte , our Model Risk Management (MRM) practice helps clients navigate the complex landscape of model risk across financial crime, regulatory compliance, and advanced analytics. Our team consists of top-tier professionals with backgrounds in Statistics, Mathematics, Physics, Finance, Financial Engineering, and PhDs in quantitative disciplines . We specialize in qualitative assessments and quantitative modeling across Market Risk, Credit Risk, Operational Risk, Liquidity Risk, and Fraud Risk aligned with key regulatory standards such as CCAR/Stress Testing, Basel II.5/III, CRD IV/CRR . We also work on the valuation of complex derivatives and structured products , leveraging our deep expertise in quantitative modeling and data analytics. What You’ll Do In this role, you'll contribute to cutting-edge financial crime risk initiatives and support leading global banks in strengthening their risk modeling frameworks. Key Responsibilities: Develop and maintain Financial Crime models , including AML Feeder Models and Sanction Screening Models, using statistical methods and robust documentation practices. Tackle complex data analytics problems in risk management and deliver actionable insights to enhance risk tools. Apply deep quantitative and conceptual expertise to design, validate, and enhance risk models aligned with banking regulatory standards. Use programming tools such as Python, R, SAS, and SQL for model development and deployment. Translate complex modeling concepts into simple language for diverse stakeholders — from executives to technical experts. Create technical documentation , model validation reports, and regulatory submissions. Required Skills & Experience Sound understanding of statistical and mathematical concepts : regression, classification, time series, hypothesis testing, distribution analysis, A/B testing, performance monitoring, etc. Hands-on experience with AI/ML techniques : ANN, Decision Trees, Ensemble Methods (e.g., XGBoost). Experience with vendor-based AML systems and models (e.g., Event Processor Next Gen, Quantifind, Customer Risk Assessment). Expertise in Financial Crime Case Generation Analytics . Proficient in R, Python, SAS, SQL , with experience deploying models into production and performing data calibration. Understanding of AML and sanction screening regulatory frameworks. Strong skills in technical writing , executive reporting, and stakeholder communication. Exceptional time management and multitasking ability in a dynamic, global work environment. Flexibility to work with US/UK counterparts during extended or overlapping shifts. Preferred Skills Solid data science foundation with an understanding of end-to-end data pipelines and model lifecycles. Experience working in a banking or consulting environment , ideally on financial crime or risk analytics projects. Qualifications Bachelor’s , Master’s , or Ph.D. in a relevant quantitative field (e.g., Statistics, Mathematics, Financial Engineering, Computer Science, or related disciplines).

JOb Responsibilities: The Data Scientists will leverage expertise in advanced statistical and modelling techniques to design, prototype, and build the next-generation analytics engines and services. They will work closely with the analytics teams and business teams to derive actionable insights, helping the organization in achieving its’ strategic goals. Their work will involve high levels of interaction with the integrated analytics team, including data engineers, translators, and more senior data scientists. Has expertise in implementing complex statistical analyses for data processing, exploration, model building and implementation Lead teams of 2-3 associate data scientists in the use case building and delivery process Can communicate complex technical concepts to both technical and non-technical audience Plays a key role in driving ideation around the modelling process and developing models. Can conceptualize and drive re-iteration and fine tuning of models Contribute to knowledge building and sharing by researching best practices, documenting solutions, and continuously iterating on new ways to solve problems. Mentors junior team members to do the same REQUIRED EDUCATION AND EXPERIENCE: Master’s degree in Computer Science, Statistics, Math, Operations Research, Economics, or a related field Advanced level programming skills in at least 1 coding language (R/Python/Scala) Practical experience of developing advanced statistical and machine learning models At least 2 years of relevant analytics experience Experience in using large database systems preferred Has developed niche expertise in at least one functional domain REQUIRED SKILLS: Ability to work well in agile environments in diverse teams with multiple stakeholders Experience of leading small teams Able to problem solve complex problems and break them down into simpler parts Ability to effectively communicate complex analytical and technical content High energy and passionate individual who can work closely with other team members Strong entrepreneurial drive to test new out of the box techniques Able to prioritize workstreams and adopt an agile approach Willing to adopt an iterative approach; experimental mindset to drive innovation LOCATION: Bangalore What’s in it for you ? Disruptive projects : Work on ‘ breakthrough’ digital-and-analytics projects to enable UPL’s vision of building a future ready organization. It involves deploy ing solutions to help us increase our sales, sustain our profitability, improve our speed to market, supercharge our R&D efforts, and support the way we work internally. Help us ensure we have access to the best business insights that our data analysis can offer us. Cross functional leadership exposure : Work directly under guidance of functional leadership at UPL, on the most critical business problems for the organization (and the industry) today. It will give you exposure to a large cross-functional team (e.g.: spanning manufacturing, procurement, commercial, quality, IT/OT experts), allowing multi-functional learning in D&A deployment Environment fostering professional and personal development : Strengthen professional learning in a highly impact-oriented and meritocratic environment that is focused on delivering disproportionate business value through innovative solutions. It will be supported by on-the-job coaching from experienced domain experts, and continuous feedback from a highly motivated and capable set of peers. Comprehensive training programs for continuous development through UPL's D&A academy will help in accelerating growth opportunities. Come join us in this transformational journey! Let’s collectively Change the game with Digital & Analytics!

JOb Responsibilities: The Data Scientists will leverage expertise in advanced statistical and modelling techniques to design, prototype, and build the next-generation analytics engines and services. They will work closely with the analytics teams and business teams to derive actionable insights, helping the organization in achieving its’ strategic goals. Their work will involve high levels of interaction with the integrated analytics team, including data engineers, translators, and more senior data scientists. Has expertise in implementing complex statistical analyses for data processing, exploration, model building and implementation Lead teams of 2-3 associate data scientists in the use case building and delivery process Can communicate complex technical concepts to both technical and non-technical audience Plays a key role in driving ideation around the modelling process and developing models. Can conceptualize and drive re-iteration and fine tuning of models Contribute to knowledge building and sharing by researching best practices, documenting solutions, and continuously iterating on new ways to solve problems. Mentors junior team members to do the same REQUIRED EDUCATION AND EXPERIENCE: Master’s degree in Computer Science, Statistics, Math, Operations Research, Economics, or a related field Advanced level programming skills in at least 1 coding language (R/Python/Scala) Practical experience of developing advanced statistical and machine learning models At least 2 years of relevant analytics experience Experience in using large database systems preferred Has developed niche expertise in at least one functional domain REQUIRED SKILLS: Ability to work well in agile environments in diverse teams with multiple stakeholders Experience of leading small teams Able to problem solve complex problems and break them down into simpler parts Ability to effectively communicate complex analytical and technical content High energy and passionate individual who can work closely with other team members Strong entrepreneurial drive to test new out of the box techniques Able to prioritize workstreams and adopt an agile approach Willing to adopt an iterative approach; experimental mindset to drive innovation

Key responsibilities: 1- Development of Predictions Model using ML algorithms in entire customer journey and life cycle (Acquisition, Behaviour, Collections, Propensity, Marketing, Fraud, etc.) 2- Design and Strategy Development to offer best in class Assets Products to customers. 3- Building Prediction Model using big data from digital signals, alternate data and beyond. 4- Partnering, exploring and expanding solutions with different data providers and Companies. 5- Ownership and Responsibility to lead/manage large scale projects/model Development & Deployment. Skill Sets & key requirements: 1- Advanced degree in an analytical field (e.g., Data Science, Computer Science, Engineering, Applied Mathematics, Statistics, Data Analysis) or substantial hands on work experience in the space 2- Should have worked in Banking/Fintech domain in Credit/Fraud Risk with strong understanding of Bureau Data & in-house banking Data. 3- Advance Coding skills with at least one of these- Python/SQL/ Pyspark languages 1- Strong understanding of the Machine Learning lifecycle - feature engineering, training, validation, scaling, deployment, scoring, monitoring, and feedback loop. 2- Have worked across end to end in model design, development, validation, documentation & deployment. 3- Create great data stories with expertise in robust EDA and statistical inference.

Key responsibilities: 1- Development of Predictions Model using ML algorithms in entire customer journey and life cycle (Acquisition, Behaviour, Collections, Propensity, Marketing, Fraud, etc.) 2- Design and Strategy Development to offer best in class Assets Products to customers. 3- Building Prediction Model using big data from digital signals, alternate data and beyond. 4- Partnering, exploring and expanding solutions with different data providers and Companies. 5- Ownership and Responsibility to lead/manage large scale projects/model Development Deployment. Skill Sets key requirements: 1- Advanced degree in an analytical field (e.g., Data Science, Computer Science, Engineering, Applied Mathematics, Statistics, Data Analysis) or substantial hands on work experience in the space 2- Should have worked in Banking/Fintech domain in Credit/Fraud Risk with strong understanding of Bureau Data in-house banking Data. 3- Advance Coding skills with at least one of these- Python/SQL/Pyspark languages 1- Strong understanding of the Machine Learning lifecycle - feature engineering, training, validation, scaling, deployment, scoring, monitoring, and feedback loop. 2- Have worked across end to end in model design, development, validation, documentation deployment. 3- Create great data stories with expertise in robust EDA and statistical inference

Key responsibilities: 1- Development of Predictions Model using ML algorithms in entire customer journey and life cycle (Acquisition, Behaviour, Collections, Propensity, Marketing, Fraud, etc.) 2- Design and Strategy Development to offer best in class Assets Products to customers. 3- Building Prediction Model using big data from digital signals, alternate data and beyond. 4- Partnering, exploring and expanding solutions with different data providers and Companies. 5- Ownership and Responsibility to lead/manage large scale projects/model Development & Deployment. Skill Sets & key requirements: 1- Advanced degree in an analytical field (e.g., Data Science, Computer Science, Engineering, Applied Mathematics, Statistics, Data Analysis) or substantial hands on work experience in the space 2- Should have worked in Banking/Fintech domain in Credit/Fraud Risk with strong understanding of Bureau Data & in-house banking Data. 3- Advance Coding skills with at least one of these- Python/SQL/Pyspark languages 1- Strong understanding of the Machine Learning lifecycle - feature engineering, training, validation, scaling, deployment, scoring, monitoring, and feedback loop. 2- Have worked across end to end in model design, development, validation, documentation & deployment. 3- Create great data stories with expertise in robust EDA and statistical inference

Role & responsibilities Support the management of core business activities across Models, relating to: (1) Model Design, Development, Validation & Implementation, (2) Model Portfolio, Risk Analytics & Risk Mitigation, (3) Model Monitoring, Control, Standards & Documentation, and (4) Model Governance The roleholder will be responsible for development of investment and wealth models - (i) designing and execution of product risk ratings for Mutual Funds, Bonds, Structured Products and Stocks. (ii) design and maintain the Strategic Asset Allocation (SAA) and Aladdin advisory model used for Advisory and Discretionary businesses. (iii) Help develop Artificial intelligence (AI) model applications for GPB&W business. (iv) Develop different propositions and client capabilities to support ESG investing framework, margin trading, etc. As an expert in investment product risk, they will also provide key enhancements into designing future state methodologies for investment models. Optimise Expected Credit Losses (ECL) and Risk Weighted Assets (RWAs) for the GPB&W Lombard and other asset backed securities. Work across GPB&W to effectively manage model risks, increase model coverage and implement globally consistent model systems, standards, policies, processes, methodologies and governance across all regions. Engage with stakeholders across all areas, business functions, and regions in identifying local regulatory issues, feeding these requirements into global model program design and ensuring compliance with global and local model regulations. Develop and review models according to feedback or requirements from our stakeholders, prepare pre-implementation validation reports for local use (countries or legal entities), develop models specific to a country or a business if required by regulators, support annual model validations, check the run, monitoring and validation of data, develop model prototypes, implement models, UAT of the models, and maintain official model documentation. Administrate global and local governance through the GPB&W Model Oversight Forum and other technical committees, IMR and Audit, oversight the global and local model output to ensure its being appropriately used, and support the local and global business teams in model use. Run the model, produce global and local results, rollout models to new legal entities as required, run stress tests, document the processes, calculation runs and checks, monitor the model, and statistically validate the input data (scenario and internal loss data). Enhance GPB&W Data infrastructure to support all credit models.

This role is will own the complete end-to-end program from conceptualization, to business model development, launch, sustenance and growth of enabling *newcustomer services through the Last Mile network. --Who we are looking for This role is for a candidate who is a builder who can take a new initiative from 0 to 1 : conceptualization, pilots, launch, and then taking it from 1 to 100 by stabilizing, creating systems, mechanisms for the program to continue functioning and growing. The successful candidate will be the winning combination of a strong stakeholder manager, with understanding of working with a geographically diverse and vast team from external store and delivery partners at one end of the spectrum to business stakeholders on the other, an analyst adept at modelling and building business cases and a sharp process expert who can build efficient scalable processes. In short, program-cum-process-manager-cum analyst, who would not love to be in the spotlight, rather BE the spotlight! 3+ years of team management experience 3+ years of program or project management experience 3+ years of working cross functionally with tech and non-tech teams experience 3+ years of delivering cross functional projects experience Experience defining program requirements and using data and metrics to determine improvements Experience implementing repeatable processes and driving automation or standardization Experience in data mining, data management, reporting, and SQL queries

Are you passionate about building scalable ML pipelines and deploying intelligent systems in the cloud? At Derisk360, we help transform businesses by combining AI expertise with deep domain knowledge. Were seeking a Senior ML Engineer to take our ML infrastructure to the next level using AWS SageMaker and state-of-the-art MLOps practices. What You ll Do: Develop, deploy, and manage ML models using AWS SageMaker, including pipelines, real-time endpoints, and batch transform jobs. Architect infrastructure using Infrastructure as Code (IAC) tools such as Terraform or AWS CloudFormation. Build robust, scalable solutions across real-time and batch systems with high reliability and performance. Design secure and scalable AWS networking environments tailored for ML workflows. Collaborate with data scientists, ML engineers, and DevOps to optimize model development and deployment pipelines. Contribute to automation, CI/CD pipelines, and monitoring strategies for ML systems. 7+ years of experience in software engineering, with at least 3+ years working on AWS SageMaker in production environments. Proficient in AWS services (EC2, S3, Lambda, IAM, VPC, CloudWatch) and deep understanding of AWS networking concepts. Solid experience with Terraform or CloudFormation for IAC implementation. Strong programming skills in Python and hands-on experience with ML frameworks like TensorFlow, PyTorch, or Scikit-learn. Familiarity with model training, evaluation, versioning, and operationalizing in cloud environments. Experience integrating ML workflows with data lakes or data pipelines. Exposure to MLOps practices including experiment tracking, model registry, and containerization (Docker). Understanding of security best practices in AWS for machine learning. What You ll Get: Competitive salary with performance-based bonuses Lead innovative ML projects with top-tier insurance and risk-tech clients Work in a tech-forward, collaborative environment Opportunities to grow within a high-impact, AI-focused team Access to complex cloud-native platforms and enterprise-grade ML systems

Reference 23000TZY. Responsibilities. The missions of a senior functional expert are varied and hinge upon the strengthening of regulatory and accounting requirements related to the supervision and monitoring of risk models. In this context, you will be responsible for conducting internal model reviews (validation of the modeling, backtesting, etc.) that have been developed by the Group’s modeling entities.. Your main missions will be:. End to end responsibility of modeling validation missions, based on the planning and framework. Interact with the modeling entities. Analyze and test methods by using both technical knowledge and critical thinking.. Conduct quantitative reviews (statistics).. Be vigilant in the analysis of the regulatory compliance, robustness and performance of these models.. Contribute to the composition of a validation report in order to communicate the conclusions of the review mission.. Contribute and present the results of the review at the Models Committee. Ensure adequate documentation and archiving of the analyses carried out.. Mentoring Junior team members. The functional expert works on many different topics such as: retail or wholesale credit risk (PD models, CCF models, LGD models, stress tests), market risk models (VaR/SVaR/FRTB, EEPE, CVA, SIMM, IRC/CRM...), models developed under the IFRS 9 framework, models developed to comply with US regulatory requirements.. Required. Profile required. Ideal candidate should be well versed in credit risk model development, validation and maintenance of models (PD, LGD and EAD) for wholesale and retail credit portfolio of the bank as per regulatory guidelines.. Exposure to banking book and understanding of trading book products and knowledge on BASEL/IFRS guidelines is highly desirable. Candidate should have excellent business communication skills.. Educational Requirements:. Post-graduation degree in quantitative discipline(Statistics, Economics, Mathematics & engineering) from Tier I/II colleges. Additional certification in machine learning techniques or estimation of credit risk parameters will be preferred.. Role & Responsibility. The ongoing monitoring of the model is a task that must be done in all phases of the model lifecycle (development, implementation, use). In order to track and measure the efficiency and adequacy of models, the model monitor conducts continuous analysis and controls as an early warning both initially at implementation (for new models) and regularly as a part of the model’s ongoing monitoring.. For the purpose of these tests, the model monitor is responsible to:. Backtest & re-calibrate each model designed and developed by the business, hence a thorough understanding of model development under Basel & IFRS norms is critical.. Choose adequate model outcome analysis techniques such as:. Model estimates vs realized values (e.g. back-testing for some models);. Stability of model outcomes;. Benchmarking: model output vs output generated by comparable models or applications;. Sensitivity analysis to test robustness.. Analyze the model output and the related components (if applicable);. Model assumptions and limitations validity;. Results of benchmarking and sensitivity analysis;. Accuracy of model’s characteristics;(ROC/AUC, KS statistics, accuracy ratio, Gini coefficient etc). Monitor over time in order to follow up trends and detect deviations;. Establish thresholds and action plan for major deviations;. Report this analysis to the different model stakeholders.. Implement a governance to monitor the corrective actions. Furthermore, as part of the model ongoing monitoring phase, the model monitor should abide by the group standards on ongoing monitoring that establish guidelines on performance assessment processes including type, scope and range of tests and appropriateness of responses to any problems that may appear.. Technical Skills:. Regulatory risk model (IRB, IFRS9) model validation, monitoring, development (good to have) using SAS, R. Initiation to machine learning model validation.. Functional Skills:. –Knowledge of Global regulatory Topics BASEL II/III & IFRS 9. –Understanding of risk management and risk quantification processes. –Understanding of forms of risk, viz. credit, market, operational, model etc.. Behavioral Aspects:. Result Orientation. Client Focus. Contribution to Strategy. Cooperation. Team Player. Why join us. “We are committed to creating a diverse environment and are proud to be an equal opportunity employer. All qualified applicants receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status”.. Business insight. At Socit Gnrale, we are convinced that people are drivers of change, and that the world of tomorrow will be shaped by all their initiatives, from the smallest to the most ambitious. Whether you’re joining us for a period of months, years or your entire career, together we can have a positive impact on the future. Creating, daring, innovating, and taking action are part of our DNA. If you too want to be directly involved, grow in a stimulating and caring environment, feel useful on a daily basis and develop or strengthen your expertise, you will feel right at home with us!. Still hesitating?. You should know that our employees can dedicate several days per year to solidarity actions during their working hours, including sponsoring people struggling with their orientation or professional integration, participating in the financial education of young apprentices, and sharing their skills with charities. There are many ways to get involved.. We are committed to support accelerating our Group’s ESG strategy by implementing ESG principles in all our activities and policies. They are translated in our business activity (ESG assessment, reporting, project management or IT activities), our work environment and in our responsible practices for environment protection.. Diversity and Inclusion. We are an equal opportunities employer and we are proud to make diversity a strength for our company. Societe Generale is committed to recognizing and promoting all talents, regardless of their beliefs, age, disability, parental status, ethnic origin, nationality, gender identity, sexual orientation, membership of a political, religious, trade union or minority organisation, or any other characteristic that could be subject to discrimination.. Show more Show less

Date: Jun 5, 2025. Company: Zelestra. Location. Gurugram, India. About Us. Zelestra (formerly Solarpack) is a multinational company fully focused on multi-technology renewables with a vertically integrated business model focused large-scale renewable projects in rapidly growing markets across Europe, North America, Latin America, Asia, and Africa. Headquartered in Spain, Zelestra has more than 1000 employees worldwide and is backed by EQT, one of three largest funds in the world with $200B in assets.. One solution doesn’t fit all, especially in energy. We’re on a journey alongside our clients, assisting them in achieving their decarbonization goals. We are committed to developing tailored-made solutions by analyzing power market challenges and co-creating structured products based on customer insights.. One of the top 10 sellers of clean energy to corporates in the world, according to Bloomberg NEF, we are committed to tailored solutions to meet customer needs.. At Zelestra we aim to be a solid and solvent company, capable of executing quality and valuable projects for the society and the environment. Therefore, we maintain a firm commitment to contribute directly to the social development of the communities and markets in which we operate, not only through the creation of economic value, but also through the generation of quality employment and through the social projects we promote.. In the efforts of supporting business with innovative digital solutions, we want to recruit an experienced and dynamic Engineer.. Mission. We are looking for a motivated Junior Data Scientist to join our dynamic team, working on developing advanced Asset Performance Management solutions for solar plants and wind farms.. The ideal candidate will have hands-on experience in building time-series forecasting models, particularly in the context of renewable energy. You will work closely with our data scientists and engineers to deploy data-driven solutions, focusing on asset performance optimization, cloud tracking using image data, and leveraging large language models (LLM) for innovative solutions. If you’re passionate about data science and sustainability, we’d love to hear from you.. Responsibilities. Model Development & Analysis: Build, test, and deploy time-series models for solar and wind energy forecasting; develop asset performance models to predict equipment health and maintenance; collaborate with senior scientists to enhance model accuracy.. LLM and Image-Based Modelling: Use large language models for asset management solutions; create visualization models from satellite/drone imagery to optimize solar plant performance.. Data Visualization & Reporting: Develop clear visualizations and dashboards (using tools like Amazon QuickSight and PowerBI) to communicate insights and track renewable energy asset metrics.. Data Management & Collaboration: Handle large IoT datasets from renewable assets stored on cloud platforms (AWS S3, Azure Blob); maintain version control with Git/GitHub.. Model Deployment & Monitoring: Work with engineers to deploy models on cloud infrastructure (AWS, Azure); establish monitoring pipelines for ongoing model performance and updates.. Experience. Job Requirements. 0-2 years as a data scientist or related role, preferably with time-series modeling experience.. Practical skills in Python, R, or similar programming languages.. Technical Skills. Proficient in building and deploying time-series forecasting models.. Experienced with data visualization tools such as Power BI, Tableau, or equivalent.. Familiar with machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn.. Skilled in Git and version control for collaborative projects.. Cloud & Infrastructure. Experience with cloud platforms like AWS and Azure for data storage and processing.. Knowledge of cloud data lakes/data warehouses (AWS S3, Azure Blob Storage).. Collaboration & Communication. Ability to collaborate effectively with cross-functional teams, including engineers and data scientists.. Strong communication skills to translate technical findings into business strategies.. What We Offer. Career opportunities and professional development in a growing multinational company with a team highly qualified.. Flexible compensation.. Full working day.. Remote work 2 days a week.. Zelestra celebrates the diversity of thought and experience that comes from a variety of backgrounds including, among others, gender, age, ethnicity... Our mission is to contribute to a fairer and more equitable society.. JR2212. Show more Show less

About Us. Standard. At ANZ, we're shaping a world where people and communities thrive, driven by a common goal: to improve the financial wellbeing and sustainability of our millions of customers.. About The Role. As a Quantitative Analyst within ANZ Market Risk, your role is to support the Markets business to meets its growth aspirations and its regulatory obligations through the validation of valuation and risk models across Traded and Non-Traded Market Risk and Counterparty Credit Risk. You will act as a subject matter expert to a range of stakeholders across Markets Risk and the wider Markets Business to maximise the flow of technical and practical knowledge within the group.. Banking is changing and we’re changing with it, giving our people great opportunities to try new things, learn and grow. Whatever your role at ANZ, you’ll be building your future, while helping to build ours.. Role Type: Permanent. Role Location: Acacia,Bengaluru. Work Hours: Regular. What will your day look like?. As an Quantitative Analyst, you are accountable for :. Design, model, develop and maintain independent market risk benchmark models. Provide effective challenge to model assumptions, mathematical formulation and implementation. Assess and quantify model risk due to model limitations and determine mitigating factors and controls.. Provide support fo development and maintenance of Markets Risk measurement systems and associated processes. Proactively remediate outstanding risk methodology issues including participation in risk methodology discussions with Technology teams and model developers (inclusive of third-party vendors).. Provide proactive quantitative risk support to Front Office, Markets Risk product managers, Markets Finance, Treasury and Banking Book. Maintain relationships with Risk Managers to maximise the flow of technical and practical knowledge within the Group.. Provide excellent key Stakeholder Management of internal & external stakeholders. Anticipate issues & influence decisions, negotiate outcomes and communicate them in an effective and timely manner; proactively identify project management issues affecting delivery and suggest solutions.. Establish a reputation for credibility, integrity and technical excellence of the team as a whole with stakeholders.. Assist in the provision of quantitative outcomes required to achieve excellent audit outcomes; prepare audit documentation on quantitative issues & explicit role in liaising with auditors as a quantitative SME as required.. Establish a good working culture (open, collaborative & efficient) in any small groups you are part of. Be seen as a role model within and outside the validation team. Help embed a great risk culture in ANZ. Ensure all initiatives are undertaken in accordance with established risk and compliance principles and policie. What will you bring?. To grow and be successful in this role, you will ideally bring the following:. Experience in Financial Markets across multiple asset classes. Experience in Market Risk in a quantitative role w/in Front Office or Risk. Sound knowledge of Financial Mathematics including derivatives products such as Interest Rate Derivatives, Foreign Exchange Options and Equity/Commodity derivatives. Expertise in C/C++ and Python. Experience in financial mathematics, quantitative models such as Hull-White, LGM, Libor Market Model, Stochastic Local Vol etc. Ability to communicate regulations, policies and procedures concepts to a wide variety of staff. You’re not expected to have 100% of these skills. At ANZ a growth mindset is at the heart of our culture, so if you have most of these things in your toolbox, we’d love to hear from you.. So why join us? (Global). From the moment you join ANZ, you'll be doing meaningful work that will shape a world where people and communities thrive.. But it's not just our customers who'll feel your impact. you'll feel it too. Because at ANZ, you'll have the resources, opportunities, and support you need to take the next big step in your career.. We're a diverse bunch at ANZ in different roles, different locations, doing different things. That's why we have a range of flexible working arrangements, so our people can 'make work, work for them'. We also provide a range of benefits including access to health and wellbeing services and discounts on selected products and services from ANZ and more.. At ANZ, you'll be part of an organisation where the different backgrounds, perspectives and life experiences of our people are celebrated. That's because we're committed to building a workplace that reflects the diversity of the communities we serve. We welcome applications from everyone and encourage you to talk to us about any adjustments you may require to our recruitment process or the role itself. If you are a candidate with a disability or access requirement, let us know how we can provide you with additional support.. To find out more about working at ANZ, visit https://www.anz.com.au/careers . You can apply for this role by visiting ANZ Careers and searching for reference number 97559.. Job Posting End Date. , 11.59pm, (Indian Standard Time). Show more Show less

Our Company. We’re Hitachi Digital, a company at the forefront of digital transformation and the fastest growing division of Hitachi Group. We’re crucial to the company’s strategy and ambition to become a premier global player in the massive and fast-moving digital transformation market.. Our group companies, including GlobalLogic, Hitachi Digital Services, Hitachi Vantara and more, offer comprehensive services that span the entire digital lifecycle, from initial idea to full-scale operation and the infrastructure to run it on. Hitachi Digital represents One Hitachi, integrating domain knowledge and digital capabilities, and harnessing the power of the entire portfolio of services, technologies, and partnerships, to accelerate synergy creation and make real-world impact for our customers and society as a whole.. Imagine the sheer breadth of talent it takes to unleash a digital future. We don’t expect you to ‘fit’ every requirement – your life experience, character, perspective, and passion for achieving great things in the world are equally as important to us.. The team. Hitachi Digital is a leader in digital transformation, leveraging advanced AI technologies to drive innovation and efficiency across various operational companies (OpCos) and departments. We are currently seeking an expert Lead AI Engineer to spearhead our new AI initiatives and enhance our existing Agentic AI capabilities, while also building new AI products and refining current models to meet the evolving needs of our business.. The role. In this role you will lead the design, development, and implementation of AI models and algorithms using Agentic AI and Agent Workspace for Google Gemini and EMa.AI. You will drive new AI initiatives across different OpCos and departments, ensuring seamless integration and functionality and enhance and refine existing Agentic AI capabilities to improve performance and scalability.. You will collaborate with cross-functional teams to integrate AI solutions into existing systems and workflows, conduct research and stay updated on the latest advancements in AI technologies and methodologies. Additional tasks in the role include optimization of AI models for performance, scalability, and accuracy, as well as troubleshooting and resolving complex issues related to AI systems and applications.. You will also document AI development processes, methodologies, and best practices, mentor junior developers and participate in code reviews, providing constructive feedback to team members. Provide strategic direction and leadership in AI technology adoption and innovation.. What You’ll Bring. Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field; PhD preferred.. 10+ years of experience in AI model development, with a focus on Agentic AI and Agent Workspace for Google Gemini and EMa.AI.. Strong programming skills in languages such as Python, Java, or C++.. Primary experience with Google Cloud Platform (GCP); experience with AWS and Azure is a plus.. Experience with GPU-based AI model development is a plus.. Extensive experience with Generative AI (GenAI) and Large Language Models (LLMs) is required.. Experience with AI frameworks and libraries such as TensorFlow, PyTorch, or similar.. Knowledge of machine learning algorithms, neural networks, and natural language processing.. Excellent problem-solving skills and the ability to work independently and as part of a team.. Strong communication skills and the ability to convey complex technical concepts to non-technical stakeholders.. Proven leadership skills and experience in guiding AI projects from conception to deployment.. Preferred Qualifications. Familiarity with data science tools and techniques.. Previous experience in a similar role within a tech-driven company.. About Us. We’re a global, 1000-strong, diverse team of professional experts, promoting and delivering Social Innovation through our One Hitachi initiative (OT x IT x Product) and working on projects that have a real-world impact. We’re curious, passionate and empowered, blending our legacy of 110 years of innovation with our shaping our future. Here you’re not just another employee; you’re part of a tradition of excellence and a community working towards creating a digital future.. Championing diversity, equity, and inclusion. Diversity, equity, and inclusion (DEI) are integral to our culture and identity. Diverse thinking, a commitment to allyship, and a culture of empowerment help us achieve powerful results. We want you to be you, with all the ideas, lived experience, and fresh perspective that brings. We support your uniqueness and encourage people from all backgrounds to apply and realize their full potential as part of our team.. How We Look After You. We help take care of your today and tomorrow with industry-leading benefits, support, and services that look after your holistic health and wellbeing. We’re also champions of life balance and offer flexible arrangements that work for you (role and location dependent). We’re always looking for new ways of working that bring out our best, which leads to unexpected ideas. So here, you’ll experience a sense of belonging, and discover autonomy, freedom, and ownership as you work alongside talented people you enjoy sharing knowledge with.. We’re proud to say we’re an equal opportunity employer and welcome all applicants for employment without attention to race, colour, religion, sex, sexual orientation, gender identity, national origin, veteran, age, disability status or any other protected characteristic. Should you need reasonable accommodations during the recruitment process, please let us know so that we can do our best to set you up for success.. Show more Show less

This role provides an exciting opportunity to be at the forefront of AI innovation, contributing to the development and implementation of solutions that push the boundaries of technology. If you are passionate about AI, thrive in a collaborative environment, and enjoy driving impactful projects, this position offers a platform for creativity and professional growth. Join us in shaping the future of AI applications Responsibilities: Cross-Functional Collaboration: Collaborate seamlessly with Engineering, Product, and Operations teams to conceptualize, design, and construct AI systems for diverse applications, including Email Suites, Conversational chatbots, and various NLP and ML use cases. Innovative Model Development: Lead the development of inventive strategies and models, ensuring practical operationalization of AI solutions in alignment with organizational goals. Ideation and Analysis: Generate ideas for exploratory analysis, actively shaping the trajectory of future projects. Provide insightful recommendations for strategic actions based on data-driven insights. Rapid Prototyping and Product Discussions: Drive the rapid prototyping of solutions, actively participating in discussions related to product and feature development. Dashboard Creation and Reporting: Develop dashboards and comprehensive documentation to effectively communicate results. Regularly monitor key data metrics, facilitating informed decision-making. Integration with Production Systems: Collaborate closely with software engineers to deploy and integrate data models into production systems. Ensure scalability, reliability, and efficiency of integrated solutions. Business Metrics Identification: Identify and analyze key business metrics, offering strategic insights. Recommend product features based on the identified metrics to enhance overall product functionality. Skills Exceptional quantitative and problem-solving skills - capable of tackling complex data-driven challenges and formulating effective solutions. Solid understanding of natural language processing (NLP) - Fundamentals, including techniques such as named entity recognition (NER), topic modeling, and sentiment analysis. Proven proficiency - In essential data science libraries, including Pandas, Numpy, SciPy, and Scikit-Learn, for data manipulation, analysis, and modeling. In-depth expertise in Python programming - Focus on data analysis, model building, and algorithmic implementation. Experience with distributed computing frameworks - Hadoop or Spark, for handling large-scale data processing and machine learning tasks. Comprehensive understanding - Supervised and unsupervised machine learning techniques, including decision trees, random forests, boosting algorithms, and clustering methods. Experience and Qualifications Masters or Bachelors degree in Machine Learning/Data Science, Applied Statistics, Mathematics, or Engineering Minimum 8+ years of relevant experience with a proven track record of developing ML solutions.

Software Engineer PowerScale, a Gartner Magic Quadrant leader in Unstructured Data Storage and Management is evolving by re-architecting its stack to cater to the unique demands of the consumer market in the GenAI era. The evolution is driven by efforts to modernize the stack through the development of advanced technologies in data storage systems, cluster management, distributed systems and container management. The modernization initiative will empower PowerScale to provide a composable, disaggregated, software-defined architecture with the capacity to store exabytes of data and deliver unparalleled performance. Join us to do the best work of your career and make a profound social impact as a Software Engineer on our Software Engineering Team in Bangalore . What you ll achieve As a Software Engineer 2 , you will be part of scrum team, which is focused on developing core software for our PowerScale systems / Dell Storage system which supports big data. You will be responsible for developing sophisticated systems and software basis the customer s business goals, needs and general business environment creating software solutions. You will: Contribute to the design and architecture of high-quality, complex systems and software/storage environments Prepare, review and evaluate software/storage specifications for products and systems Contribute to the development and implementation of test strategies for complex software products and systems/for storage products and systems Take the first step towards your dream career Every Dell Technologies team member brings something unique to the table. Here s what we are looking for with this role: Essential Requirements 2-5 years experience in C/C++ Programming Experience developing software for Unix/Linux/BSD operating systems at a User space level Experience developing within large scale distributed systems with working experience in storage networking protocols and architectures Experience working in Agile Scrum model development cycle Excellent interpersonal skills and ability to work collaboratively in a team environment Desirable Requirement Bachelor s or master s degree in computer science or related field. Strong problem-solving and analytical skills. Application closing date: 30 July 2025 "#NJP"