217 Model Development Jobs - Page 7

Overview Development of Scalable and Efficient AI-Driven Solutions Create AI solutions that address complex business challenges. Ensure solutions are scalable to handle large data volumes and efficient in performance. Development and Maintenance of Index Data Platforms Build and sustain platforms that generate and manage Index data. Integrate data from various sources, maintain data accuracy, and ensure reliability. Development of Data Science-Based Solutions for Quality Check of Data Points Ensure the accuracy and reliability of delivered data through advanced data science techniques. Implement metrics, detect anomalies, and validate data points to maintain high data quality. Responsibilities 1. Development of Scalable and Efficient AI-Driven Solutions Create AI/ML solutions that address complex business challenges. Understand business use cases and identify where and how AI can add value. Design, train, and validate machine learning models tailored to specific business needs. Design solutions leveraging generative AI and LLM. Build cost effective,scalable and high quality data solutions which will be used for critical Index products Ensure solutions can handle large volumes of data and scale with business growth. Optimize models and algorithms for performance and resource utilization. 2. Development of AI and Data Science-Based Solutions for Quality Check of Data Points delivered to downstream Ensure the accuracy and reliability of data through advanced data science techniques. Define and implement metrics to assess data quality. Develop models to detect anomalies and inconsistencies in data. Create automated processes to validate data points against predefined standards. Continuously refine quality check methods based on feedback and new insights. Qualifications Artificial Intelligence (AI) and Machine Learning (ML) Understanding of machine learning algorithms, deep learning, neural networks, and reinforcement learning. Understanding and experience on Generative AI. Proficiency in working with large language models like GEMINI,GPT, BERT, and their variants. Experience in fine-tuning and deploying these models for various applications. Familiarity with frameworks like TensorFlow, PyTorch, and Keras. Programming Languages Python : Proficiency in Python for data manipulation, model development, and automation. Experience with libraries such as NumPy, pandas, scikit-learn, and matplotlib. Java (Good to have) : Strong skills in Java for building scalable and efficient applications. Knowledge of Java frameworks like Spring. Oracle (Good to have) : Expertise in Oracle databases, including SQL and PL/SQL. Experience in database design, optimization, and management. Data Enginering and Cloud Solutions Proficiency in cloud platforms like Azure or Google Cloud. Leveraging cloud services for flexibility, scalability, and cost-efficiency Experience with data warehousing solutions and other cloud based data storage solutions Experience in Kubernetes and service or event driven architectures What we offer you Transparent compensation schemes and comprehensive employee benefits, tailored to your location, ensuring your financial security, health, and overall wellbeing. Flexible working arrangements, advanced technology, and collaborative workspaces. A culture of high performance and innovation where we experiment with new ideas and take responsibility for achieving results. A global network of talented colleagues, who inspire, support, and share their expertise to innovate and deliver for our clients. Global Orientation program to kickstart your journey, followed by access to our Learning@MSCI platform, LinkedIn Learning Pro and tailored learning opportunities for ongoing skills development. Multi-directional career paths that offer professional growth and development through new challenges, internal mobility and expanded roles. We actively nurture an environment that builds a sense of inclusion belonging and connection, including eight Employee Resource Groups. All Abilities, Asian Support Network, Black Leadership Network, Climate Action Network, Hola! MSCI, Pride & Allies, Women in Tech, and Women’s Leadership Forum. At MSCI we are passionate about what we do, and we are inspired by our purpose – to power better investment decisions. You’ll be part of an industry-leading network of creative, curious, and entrepreneurial pioneers. This is a space where you can challenge yourself, set new standards and perform beyond expectations for yourself, our clients, and our industry. MSCI is a leading provider of critical decision support tools and services for the global investment community. With over 50 years of expertise in research, data, and technology, we power better investment decisions by enabling clients to understand and analyze key drivers of risk and return and confidently build more effective portfolios. We create industry-leading research-enhanced solutions that clients use to gain insight into and improve transparency across the investment process. MSCI Inc. is an equal opportunity employer. It is the policy of the firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, gender, gender identity, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy (including unlawful discrimination on the basis of a legally protected parental leave), veteran status, or any other characteristic protected by law. MSCI is also committed to working with and providing reasonable accommodations to individuals with disabilities. If you are an individual with a disability and would like to request a reasonable accommodation for any part of the application process, please email Disability.Assistance@msci.com and indicate the specifics of the assistance needed. Please note, this e-mail is intended only for individuals who are requesting a reasonable workplace accommodation; it is not intended for other inquiries. To all recruitment agencies MSCI does not accept unsolicited CVs/Resumes. Please do not forward CVs/Resumes to any MSCI employee, location, or website. MSCI is not responsible for any fees related to unsolicited CVs/Resumes. Note on recruitment scams We are aware of recruitment scams where fraudsters impersonating MSCI personnel may try and elicit personal information from job seekers. Read our full note on careers.msci.com

Entity :- Accenture Strategy & Consulting Job location :- Mumbai About S&C - Global Network :- Accenture Global Network - Data & AI practice help our clients grow their business in entirely new ways. Analytics enables our clients to achieve high performance through insights from data - insights that inform better decisions and strengthen customer relationships. From strategy to execution, Accenture works with organizations to develop analytic capabilities - from accessing and reporting on data to predictive modelling - to outperform the competition WHAT'S IN IT FOR YOU? Accenture CFO & EV team under Data & AI team has comprehensive suite of capabilities in Risk, Fraud, Financial crime, and Finance. Within risk realm, our focus revolves around the model development, model validation, and auditing of models. Additionally, our work extends to ongoing performance evaluation, vigilant monitoring, meticulous governance, and thorough documentation of models. Get to work with top financial clients globally Access resources enabling you to utilize cutting-edge technologies, fostering innovation with the world's most recognizable companies. Accenture will continually invest in your learning and growth and will support you in expanding your knowledge. You'll be part of a diverse and vibrant team collaborating with talented individuals from various backgrounds and disciplines continually pushing the boundaries of business capabilities, fostering an environment of innovation. What you would do in this role Engagement Execution Work independently/with minimal supervision in client engagements that may involve model development, validation, governance, strategy, transformation, implementation and end-to-end delivery of risk solutions for Accenture's clients. Ability to manage workstream of large projects / small projects with responsibilities of managing quality of deliverables for junior team members. Demonstrated ability of managing day to day interactions with the Client stakeholders Practice Enablement Guide junior team members. Support development of the Practice by driving innovations, initiatives. Develop thought capital and disseminate information around current and emerging trends in Risk. Qualifications Who we are looking for? 7 - 12 years of relevant Risk Analytics experience at one or more Financial Services firms, or Professional Services / Risk Advisory with significant exposure to one or more of the following areas: Development, validation, and audit of: Credit Risk- PD/LGD/EAD Models, CCAR/DFAST Loss Forecasting and Revenue Forecasting Models, IFRS9/CECL Loss Forecasting Models across Retail and Commercial portfolios Credit Acquisition/Behavior/Collections/Recovery Modeling and Strategies, Credit Policies, Limit Management, Acquisition Frauds, Collections Agent Matching/Channel Allocations across Retail and Commercial portfolios Regulatory Capital and Economic Capital Models Liquidity Risk Liquidity models, stress testing models, Basel Liquidity reporting standards Anti Money Laundering AML scenarios/alerts, Network Analysis Operational risk AMA modeling, operational risk reporting Conceptual understanding of Basel/CCAR/DFAST/CECL/IFRS9 and other risk regulations Experience in conceptualizing and creating risk reporting and dashboarding solutions. Experience in modeling with statistical techniques such as linear regression, logistic regression, GLM, GBM, XGBoost, CatBoost, Neural Networks, Time series ARMA/ARIMA, ML interpretability and bias algorithms etc. Programing Languages - SAS, R, Python, Spark, Scala etc., Tools such as Tableau, QlikView, PowerBI, SAS VA etc. Strong understanding of Risk function and ability to apply them in client discussions and project implementation. Academic Requirements: Masters degree in a quantitative discipline mathematics, statistics, economics, financial engineering, operations research or related field or MBA from top-tier universities. Strong academic credentials and publications, if applicable. Industry certifications such as FRM, PRM, CFA preferred. Excellent communication and interpersonal skills.

About The Role : Job TitleSenior Risk Analyst LocationPune, India Role Description Today, markets face a whole new set of pressures but also a whole lot of opportunity too. Opportunity to innovate differently. Opportunity to invest responsibly. And opportunity to make change. Join us at DWS, and you can be part of an industry-leading firm with a global presence. You can lead ambitious opportunities and shape the future of investing. You can support our clients, local communities, and the environment. Were looking for creative thinkers and innovators to join us as the world continues to transform. As whole markets change, one thing remains clear; our people always work together to capture the opportunities of tomorrow. Thats why we are Investors for a new now. As investors on behalf of our clients, it is our role to find investment solutions. Ensuring the best possible foundation for our clients financial future. And in return, well give you the support and platform to develop new skills, make an impact and work alongside some of the industrys greatest thought leaders. This is your chance to achieve your goals and lead an extraordinary career. About DWS Investment Risk The Chief Risk Office within DWS is an independent function responsible for protecting the business as well as being a trusted adviser and partner for supporting sustainable business growth. As part of the Chief Risk Office, the Investment Risk team is in charge of independent oversight of investment risk of DWS fiduciary portfolios. In this role, it designs and executes the risk programs to identify, measure, control and manage market, liquidity, sustainability, and counterparty risk of fiduciary portfolios. What we'll offer you As part of our flexible scheme, here are just some of the benefits that youll enjoy Best in class leave policy Gender neutral parental leaves 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Employee Assistance Program for you and your family members Comprehensive Hospitalization Insurance for you and your dependents Accident and Term life Insurance Complementary Health screening for 35 yrs. and above Your key responsibilities Support the development and maintenance of investment risk management programs and models via quantitative analysis and development of new processes Support the documentation of investment risk management programs and models Conduct scenario calibration and model parameterizations Perform portfolio market risk monitoring, analysis, and reporting across different asset classes (e.g. equity, fixed income, and commodities) Execute ongoing model performance monitoring Design and execute compensating controls for identified model weaknesses Support and execute data quality management and escalation processes for different risk metrics Support the development of systems and tools to automate and operationalize risk limitation, measurement, monitoring and escalation processes Contribute to global and local projects Your skills and experience University degree in Finance or quantitative field, Chartered Financial Analyst or Financial Risk Manager designations a plus At least 2 years of proven experience in the financial services industry (Model Development, Model Validation, Valuation, Risk Management, or Portfolio Management) Proven experience with analytical models for financial instruments Previous experience with BlackRock Solutions Aladdin preferred Good knowledge of financial instruments including related analytics Strong analytical skills (quantitative and qualitative) Good verbal and written communications skills Proactive mind-set to implement process improvements and new solutions Strong working knowledge of Excel, SQL, and Python How we'll support you Training and development to help you excel in your career Coaching and support from experts in your team A culture of continuous learning to aid progression A range of flexible benefits that you can tailor to suit your needs About us and our teams Please visit our company website for further information: https://www.db.com/company/company.htm

The Digital Project Manager is responsible for leading workstreams supporting Digital & Analytics initiatives. The PM will help develop the project delivery strategy, approach and ensures alignment with the supporting business case. The Project Manager drives the determination and adjusts project scope, timing, and budgets as needed. This individual will help develop communication plans and interface with matrix teams, IT leadership, business leadership, and external vendors/partners to execute on responsibilities. Responsible for overall project management, planning, tracking and building project teams Drive resolution to project level issues Ensures risks are identified and mitigation/contingency plans are created Facilitates prioritization of business needs, managing expectation of business and IT partners Proactively builds and manages strategic relationships with business partners to optimize business performance and results Responsible to report Project Status Supports Project Quality Review meetings with senior leaders Authors Business Project Review when required The Project Manager has the responsibility to unite, manage, and lead the multiple project teams within the program that will result in achieving the desired business outcome. The ideal candidate will have the following background and skills in order to effectively meet the role expectations: Proven track record of successfully delivering other projects of similar scale and complexity Experienced in all aspects of hands-on project management for a variety of different types of projects including an emphasis on initiatives with large-scale IT or application development components Possess strong written and oral communication abilities Proficient in the practical application of the Agile Methodology Ability to quickly understand key aspects of CIGNA’s systems and applications as they relate to business functions Ability to quickly understand the complexities of model development and analytics Experienced in reporting project status to executive management Ability to effectively partner with matrix organizations to coordinate and manage project activities Candidates must possess knowledge and practical expertise in both the use of Project Management methodologies and tools as well as SDLC methodologies and tools A Bachelors in Computer Science, Business Administration, or other related fields Qualified candidates will typically have 3 years of IT and business/industry work experience and 3+ years managing mid-scale to large-scale projects About Evernorth Health Services Evernorth Health Services, a division of The Cigna Group, creates pharmacy, care and benefit solutions to improve health and increase vitality. We relentlessly innovate to make the prediction, prevention and treatment of illness and disease more accessible to millions of people. Join us in driving growth and improving lives.

This position will be part of Sapiens Digital (Data Suite) division, for more information about it, click here: We are looking for an enthusiastic Data Scientist with a foundational understanding of data science principles and an interest in the insurance industry. The role involves working alongside senior data scientists to analyze data, build models, and generate insights. What youll do: Data Collection & Preprocessing Assist in gathering, cleaning, and preprocessing data from various sources, ensuring data quality and consistency. Conduct exploratory data analysis (EDA) to identify trends, patterns, and insights within the data. Model Development & Evaluation Building predictive models to enhance accuracy. Test and evaluate basic machine learning models, including linear and logistic regression, decision trees, and clustering algorithms. Reporting & Visualization Create clear and informative data visualizations and reports to communicate insights to business stakeholders. Tracking key metrics and performance indicators related to business objectives. Cross-functional Collaboration Collaborate with business and technical teams to understand project requirements and contribute to the design of data-driven solutions. Participate in team meetings, brainstorming sessions, and discussions on data science projects and initiatives. Research & Learning Stay updated on the latest trends and tools in data science, machine learning, and the insurance industry. Participate in ongoing training and development programs to enhance technical skills and industry knowledge. What to Have for this position. Must have Skills. Education: Bachelors degree in Data Science, Statistics, Mathematics, Computer Science, or a related field. A Masters degree is a plus. Experience : 4+ years of experience in data science or analytics Basic Industry Knowledge: General understanding of insurance concepts (e.g., policies, claims, risk, customer lifecycle) is desirable but not required. Insurance Data Familiarity: Some experience working with structured data (e.g., customer demographics, policy details) and an eagerness to learn about the specific types of data used in the insurance industry. Predictive Models: Exposure to basic predictive modeling techniques such as regression, classification, forecasting or clustering. Experience with insurance-specific models (e.g., claims prediction, risk assessment) is a plus. Data Preparation: Knowledge of data cleaning and preprocessing techniques, with experience in handling datasets to prepare them for analysis. Programming Skills: Proficiency in Python for data analysis, with familiarity in using libraries such as Pandas, NumPy, and Scikit-learn. Data Manipulation: Basic skills in SQL for querying and extracting data from databases. Statistical Knowledge: Understanding of fundamental statistical concepts, including distributions, probability, hypothesis testing, and descriptive statistics. Required Soft Skills: Curiosity & Willingness to Learn : Enthusiastic about learning new concepts, techniques, and industry-specific knowledge in the insurance domain. Problem-Solving Skills : Ability to approach challenges analytically and think critically about data and project requirements. Attention to Detail : Keen eye for detail in data handling and model development to ensure high-quality outcomes. Communication Skills : Clear and concise communication skills, with the ability to present findings and insights effectively. Team Collaboration : Willingness to work collaboratively within a team, receiving and applying feedback from senior team members.

Salary : 15 to 30 LPA Exp: 3 to 6 years Location :Gurugram/Bangalore Notice: Immediate to 30 days..!! Roles & responsibilities: 3+ years exp on Python , ML and GEN AI Interact with the client to understand their requirements and communicate / brainstorm solutions. Contribute to how analytical approach is structured for specification of analysis Contribute insights from conclusions of analysis that integrate with initial hypothesis and business objective. Independently address complex problems 3+ years exp on ML/Python (predictive modelling) . Design, implement, test, deploy and maintain innovative data and machine learning solutions to accelerate our business. Create experiments and prototype implementations of new learning algorithms and prediction techniques Collaborate with product managers, and stockholders to design and implement software solutions for science problems Use machine learning best practices to ensure a high standard of quality for all of the team deliverables Has experience working on unstructured data ( text ): Text cleaning, TFIDF, text vectorization Text classification using any of the following : decision trees, knn classification, support vector machines or LDA Exp on SQL would be a plus

Salary : 25 to 40 LPA Exp: 5 to 8 years Location :Mumbai Notice: Immediate to 30 days..!! Roles & responsibilities: 5+ years exp on Python , ML and Banking model development Interact with the client to understand their requirements and communicate / brainstorm solutions, model Development: Design, build, and implement credit risk model. Contribute to how analytical approach is structured for specification of analysis Contribute insights from conclusions of analysis that integrate with initial hypothesis and business objective. Independently address complex problems 3+ years exp on ML/Python (predictive modelling) . Design, implement, test, deploy and maintain innovative data and machine learning solutions to accelerate our business. Create experiments and prototype implementations of new learning algorithms and prediction techniques Collaborate with product managers, and stockholders to design and implement software solutions for science problems Use machine learning best practices to ensure a high standard of quality for all of the team deliverables Has experience working on unstructured data ( text ): Text cleaning, TFIDF, text vectorization Hands-on experience with IFRS 9 models and regulations. Data Analysis: Analyze large datasets to identify trends and risk factors, ensuring data quality and integrity. Statistical Analysis: Utilize advanced statistical methods to build robust models, leveraging expertise in R programming. Collaboration: Work closely with data scientists, business analysts, and other stakeholders to align models with business needs. Continuous Improvement: Stay updated with the latest methodologies and tools in credit risk modeling and R programming.

We are seeking a highly skilled and motivated CCAR/CECL Modeler to join our team. In this role, you will develop and deploy regulatory models used for regulatory reporting and financial forecasting. The ideal candidate should have expertise in statistical modeling, data analysis, and financial risk assessment, with a strong emphasis on understanding CCAR and CECL requirements. Responsibilities: Conducting specific aspects of the model development life cycle, which involves data acquisition, assessing data integrity, model development, documentation, and implementation assistance. Obtain, clean, and verify data used in model development, ensuring data integrity and quality. Design, develop, test, and validate statistical models for forecasting credit losses and assessing portfolio risk Provide comprehensive documentation for models and present findings to stakeholders Qualifications: 3-5+ years of experience in analytics, preferably in Banking and Financial Services. Hands-on experience working on regulatory models. Proficient in various statistical techniques, including regression, time series analysis. Understanding of credit risk, portfolio risk, and regulatory frameworks (e.g., CCAR, CECL). Excellent problem-solving and analytical skills, with the ability to work on complex projects and deliver high-quality results. Proficiency in programming languages such as Python Strong communication skills, both written and verbal, with the ability to convey complex ideas to stakeholders.

Senior analyst with good ML model experience for the Regions Bank account 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 good ML model experience for the Regions Bank account 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

Eng II Job Responsibilities: Implementing Cabin Connectivity Software Excellent communication and problem-solving skills Should possess excellent soft skills to work and deliver in an agile environment. Constantly look to automate manual and repetitive tasks while reducing or optimizing build/release times. Automate and implement the Continuous Integration and Continuous Deployment pipeline. Engage with teams and manage build requirements. Follow emerging technologies Build reusable code and libraries for future use Troubleshoot and debug Exiting product Installers Serve as an expert on our system s installation for debugging & production Have a firm understanding of requirements development, test plans and procedures. Must have : Bachelor s degree in engineering (Electrical/Systems/Computer) Minimum 2-5 years of engineering experience Skill Set : C, C++, Linux Protocols, Python, Standard Template Library, Design Patterns, DevOps, Development in Linux Environment. Exposure to AIML model development Understanding various software development lifecycle Demonstrate the ability to develop efficient and high quality software Diverse and global teaming and collaboration Can quickly analyze, incorporate and apply new information and concepts Ability to consistently make timely decisions even in the face of complexity, balancing systematic analysis with decisiveness Ability to convey subtle or complex messages clearly, as appropriate for the topic and audience Some relevant experience Diverse and global teaming and collaboration Individuals who are self-motivated and able to work with little supervision, who consistently take the initiative to get things done Multi-tasking and has the ability to manage a variety of complicated tasks. Effective communicator and good team player.

Jubilant Biosys is hiring for Senior Research Associate - In Vivo Biology Experience : 5-8 Years Qualification : M. Pharmacy (Pharmacology) Responsibilties : Drug discovery in pre-clinical pharmacology, In-vivo pharmacology, Animal model development and Efficacy study and Pharmacological screening of Pharmaceutical drug molecules in the respective therapeutic areas such as CNS/ Metabolic disorder/ Autoimmune/Inflammatory diseases/ Pain/Oncology in Drug Discovery field. Evaluation of NCEs in target engagement and efficacy models. Responsible for writing of Protocols, uploading of the data, Lab note book record keeping. SOP writing Exploring scientific journals in order to find new ways/techniques to develop the animal models in a robust and reproducible manner. Follow the guidelines followed in the lab towards different safety aspects and help the lab head in designing the new guidelines. Follow ethical guidelines towards assay validation, data analysis and maintenance.

At Vipas AI, were at the forefront of revolutionizing Artificial Intelligence (AI) and Machine Learning (ML) application accessibility Our mission is to democratize AI creation and consumption, bridging the gap between AI developers/scientists and the billions of common end-users We are building a cutting-edge platform to create and monetize AI Apps, making advanced AI tools usable and beneficial for everyone ",jobDescription:"We are seeking a passionate and skilled Data Scientist to join our dynamic team You will play a central role in fine-tuning open-source Large Language Models (LLMs) and other Generative AI Models, retraining these models with domain-specific data to create specialized AI solutions This is an opportunity to be a founding member of an innovative startup shaping the future of AI accessibility , keyResponsibilities:["Fine-tune and optimize open-source LLMs and other Generative AI Models such as GPT, BERT, and Transformer models Implement Retrieval-Augmented Generation (RAG) techniques to enhance the performance of AI models Retrain Generative AI models with domain-specific data to create customized AI models Develop, implement, and maintain AI models using frameworks such as TensorFlow, ONNX, and PyTorch Apply advanced techniques like neural networks, autoencoders, and transformers in model development Write clean, maintainable, and efficient code primarily in Python Conduct research and stay up-to-date with the latest trends and advancements in AI and ML Optimize models for inference on various hardware accelerators like GPUs and TPUs Continuously improve the performance and accuracy of AI models through experimentation and iteration Document model development processes and results, ensuring reproducibility and transparency "],skills:["0-5 years of experience in data science, machine learning, or a related field Strong proficiency in Python and experience with TensorFlow, ONNX, and PyTorch frameworks Experience with fine-tuning and retraining open-source LLMs and Generative AI models In-depth understanding of ML and AI concepts, including model training, validation, and deployment Experience with neural networks, autoencoders, transformers, and other deep learning techniques Familiarity with Retrieval-Augmented Generation (RAG) techniques Proficiency in data preprocessing, feature engineering, and data augmentation techniques Familiarity with cloud services (Google Cloud Platform, Azure, AWS) for model training and deployment Strong problem-solving skills and attention to detail Ability to work collaboratively in a fast-paced, startup environment "] , additionalSkills:["Experience with containerization technologies such as Docker and Kubernetes for model deployment Familiarity with CI/CD pipelines and DevOps practices for AI/ML Knowledge of Natural Language Processing (NLP) techniques and frameworks Understanding of model optimization and compression techniques for efficient inference Experience with distributed training and inference of AI models "],coreQualities:["Insatiable Hunger: A profound desire to build a global product and business that has the potential to impact billions worldwide Your ambition is to challenge and revolutionize multiple industries using AI Customer-Centric Focus: A singular commitment to the success of the end-customer You understand that the customers success is the only means for our success, and you design and develop with this as your core principle Startup Agility: A genuine enjoyment of the startup environment Youre adaptable, eager to wear various hats, and actively contribute to product decisions and usability In our dynamic setting, flexibility and a can-do attitude are crucial Relentless Pursuit of Excellence: In the face of competition from tech giants, you remain undeterred Your tenacity ensures our product not only competes against Goliaths but excels in the market Adaptive & Inclusive Leader: You are a champion of diverse thought and continuous learning, fostering an environment where varied perspectives are celebrated and every self-learning opportunity is embraced You promote a flat organizational structure that values merit and contribution over hierarchy, ensuring quick and right decisions Passionate about AI & Technology: Your enthusiasm for technology and AI is infectious, contributing to an atmosphere of innovation and continuous improvement Visionary Builder: Youre not just joining a company; youre becoming part of a team that aspires to build the next global tech giant This journey begins here, in India, and youre excited to be a key member of it

Senior analyst with good ML model experience for the Regions Bank account 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

Performing factor, strategy, portfolio construction and risk model related research projects Ensure collected data is prepared for cleansing and factor analysis Analysing and interpreting data to identify trends and patterns Results interpretation, presentation of results to the team, and refinement of models based on feedback given. Running scripts / process for existing quants models Manager Selection Portfolio construction Reporting – assimilation of data and preparation of decks Tech Stack – R / Python + SQL Dashboards + website – UX / UI – React / Java Script / HTML +

Roles and Responsibilities Review and Analysis of historical loan data to understand the pattern from default point of view Apply statistical tool to analyze the pattern and come with detailed assessment Review and Prepare risk dashboard for management which shows all important risk parameters Develop rating model/scorecard for various retail and corporate loans based on historical data Testing of scorecard/model on a regular basis and update Coordinate with various stakeholder for the rating model implementation Prepare and maintain database of loan product from risk assessment point of view Ensure data is correctly captured in the system and coordinate with different team to fix the issue Coordinate with IT team for the automation of credit approval process Review and Preparation of regular credit risk reports for Board meeting and other management committee meeting consumption Manage a small team to monitor the performance of the asset portfolio Provide regular inputs for risk analytics and detailed data points impacting portfolio quality Coordinate with IT team for various project i.e. NPA, Perfios, Scorecard etc. Preparation of Bank wide Risk Dashboard to reflect Risk trend of the Bank Relevant Experience: Overall 7 + plus years of experience in Banking (preferably Risk). Technical Competencies: Good understanding of Credit risk related jargons like balance sheet, income statements, asset inventory statements Good understanding of various regulatory reports of credit risks Good command of Excel, SQL, etc. Analytical skills as well as a thorough understanding of banking laws, regulation, and policies and the ability to apply and explain complex regulatory, financial, and analytical concepts Interested candidate can share their resume on adarsh.pandey@utkarsh.bank

Job Title: Data Scientist Reports to: Lead – Data Science About upl: UPL is focused on emerging as a premier global provider of total crop solutions designed to secure the world’s long-term food supply. Winning farmers hearts across the globe, while leading the way with innovative products and services that make agriculture sustainable , UPL is the fastest growing company in the industry. UPL has a rich history of 50+ years with presence in 120+ countries . Based on the recognition that humankind is one community, UPL’s overarching commitment is to improve areas of its presence, workplace, and customer engagement . Our purpose is ‘ OpenAg’. An Open agriculture network that feeds sustainable growth for all. No limits, no borders . In order to create sustainable food chain, UPL is now working to build a future-ready, analytics-driven organization that will be even more efficient, more innovative, and more agile. We are setting up “Digital and Analytics” CoE to work on some disruptive projects that will have an impact that matters for the planet. It will help us reimagine our business to ensure the best outcomes for growers, consumers, employees, and our planet. Work with us to get exposure to cutting-edge solutions in digital & advanced analytics, mentorship from senior leaders & domain experts, and access to a great work environment . 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 Title: Data Scientist About upl: UPL is focused on emerging as a premier global provider of total crop solutions designed to secure the world’s long-term food supply. Winning farmers hearts across the globe, while leading the way with innovative products and services that make agriculture sustainable , UPL is the fastest growing company in the industry. UPL has a rich history of 50+ years with presence in 120+ countries . Based on the recognition that humankind is one community, UPL’s overarching commitment is to improve areas of its presence, workplace, and customer engagement . Our purpose is ‘ OpenAg’. An Open agriculture network that feeds sustainable growth for all. No limits, no borders . In order to create sustainable food chain, UPL is now working to build a future-ready, analytics-driven organization that will be even more efficient, more innovative, and more agile. We are setting up “Digital and Analytics” CoE to work on some disruptive projects that will have an impact that matters for the planet. It will help us reimagine our business to ensure the best outcomes for growers, consumers, employees, and our planet. Work with us to get exposure to cutting-edge solutions in digital & advanced analytics, mentorship from senior leaders & domain experts, and access to a great work environment . 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!

Role: At Simplify Healthcare AI, we are focused on building industry-focused AI models. We are seeking a highly skilled and passionate Senior Data Scientist to join our dynamic team. In this role, you will be at the forefront of designing, developing, and implementing advanced machine-learning models that will have a direct impact on our products and offerings. Responsibilities: Data Preprocessing : Organize, categorize, and prep data for processing. Identify incomplete, incorrect, inaccurate or irrelevant portions of data and interpret, cleanse or replace/delete them as needed. Advanced Data Analysis : Utilize advanced statistical techniques to analyze complex, large sets of data, and extract actionable insights that will help drive decision-making processes across various functions of the business. Model Development : Develop, refine, and implement machine learning algorithms and statistical models that will help create data-driven solutions to business problems. Also responsible for validating and testing these models to ensure accuracy. Collaboration : Work closely with the team of engineers and product designers to understand technical and business requirements, convert these to analytic solutions, and integrate them into our product suite. Insight-Driven Business Decisions : Utilize and translate complex results from the data analyses and models into strategic recommendations for both technical and non-technical stakeholders. Presentations : Represent the data science team in cross-functional teams to ensure correct and impactful data science principles are incorporated. Effectively present complex statistical concepts and results, as well as their implications, to a non-technical audience. Mentoring and Leadership : Provide mentorship and guidance to junior data scientists in the team, educate them on best practices, and guide them in their career paths. Required Skills: Minimum of 5 (Five) years of working experience as a data scientist. Strong knowledge of machine learning models, data mining, and databases. Experience with programming languages such as Python, SQL, etc. Knowledge of distributed data/computing tools like MapReduce, Hadoop, Hive, and Spark. Exceptional problem-solving skills, attention to detail, and a team player. Strong communication skills, with the ability to present complex technical findings to non-technical stakeholders. Experience in mentoring junior data scientists or leading a data science team is preferred.

We are looking for a highly skilled and results-driven Experienced Data Scientist to be at the forefront of developing and implementing Generative AI solutions that address critical business challenges and unlock new opportunities. This individual will leverage their deep expertise in data science, machine learning, and specifically Generative AI techniques to drive impactful projects from ideation to deployment. They will develop AI & ML solutions to tackle complex business challenges and facilitate data-driven decision-making through hands-on work with large datasets and strong collaboration with cross-functional teams to deliver significant results. Responsibilities: Data Handling & Preparation: Work with diverse and large-scale datasets. Perform data cleaning, preprocessing, feature engineering, and create synthetic datasets as needed for training and evaluating Generative AI models. Ensure data quality and integrity throughout the model development lifecycle. Model Optimization & Deployment: Optimize Generative AI models for performance, scalability, efficiency, and responsible AI considerations (bias detection and mitigation, hallucination reduction). Collaborate with Machine Learning Engineers and DevOps teams to deploy models into production environments and establish monitoring frameworks. Prompt Engineering & Fine-tuning: Develop effective prompts and fine-tuning strategies for Large Language Models to achieve desired outputs and adapt models to specific domains and tasks. Generative AI Model Development & Implementation: Design, develop, train, fine-tune, and deploy various Generative AI models, including but not limited to Large Language Models (LLMs), diffusion models, Generative Adversarial Networks (GANs), and Variational Autoencoders (VAEs), for applications such as: Text generation (content creation, summarization, chatbots). Image and video synthesis. Code generation and assistance. Synthetic data generation and augmentation. Research & Innovation: Stay current with the latest research and advancements in the field of Generative AI, exploring new architectures, methodologies, and tools. Proactively identify and evaluate opportunities to apply cutting-edge Generative AI techniques to solve business problems. Experimentation & Evaluation: Design and execute rigorous experiments to evaluate the performance of Generative AI models using relevant metrics (e.g., BLEU, ROUGE, FID, perplexity). Analyze experimental results, identify areas for improvement, and iterate on model development based on findings. Collaboration & Communication: Work closely with product managers, software engineers, researchers, and business stakeholders to understand requirements, communicate technical findings, and translate complex AI concepts to non-technical audiences. Documentation & Knowledge Sharing: Maintain comprehensive documentation of all development processes, models, and experimental results. Share knowledge and best practices with the broader data science and engineering teams. Ethical AI Practices: Adhere to ethical AI principles and guidelines in the development and deployment of Generative AI models, with a focus on fairness, transparency, and accountability.

Do you want to join an innovative team of scientists who use machine learning and statistical techniques to create state-of-the-art solutions for providing better value to Amazon s customers? Do you want to build and deploy advanced algorithmic systems that help optimize millions of transactions every day? Are you excited by the prospect of analyzing and modeling terabytes of data to solve real world problems? Do you like to own end-to-end business problems/metrics and directly impact the profitability of the company? Do you like to innovate and simplify? If yes, then you may be a great fit to join the Machine Learning and Data Sciences team for India Consumer Businesses. If you have an entrepreneurial spirit, know how to deliver, love to work with data, are deeply technical, highly innovative and long for the opportunity to build solutions to challenging problems that directly impact the companys bottom-line, we want to talk to you. Major responsibilities - Use machine learning and analytical techniques to create scalable solutions for business problems - Analyze and extract relevant information from large amounts of Amazon s historical business data to help automate and optimize key processes - Design, development, evaluate and deploy innovative and highly scalable models for predictive learning - Research and implement novel machine learning and statistical approaches - Work closely with software engineering teams to drive real-time model implementations and new feature creations - Work closely with business owners and operations staff to optimize various business operations - Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation - Mentor other scientists and engineers in the use of ML techniques - Experience programming in Java, C++, Python or related language - Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse - Experience implementing algorithms using both toolkits and self-developed code - Have publications at top-tier peer-reviewed conferences or journals

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. The Enterprise Intelligence Suit (EIS) is seeking a Data Scientist 2 to support various Optum Insights data science projects. This position is responsible for end-to-end model development for our clients in provider and payer segments. We are investing significantly in new capabilities to design, develop and deliver better solutions for these clients. We are seeking people with proven experience conceptualizing, defining and delivering solutions that enable data science teams to build and scale Machine Learning and Artificial Intelligence models that will power these solutions. Primary Responsibilities Take lead on data science projects to design and implement models and experiments from end to end, including data ingestion and preparation, feature engineering, analysis and modeling, model deployment, performance tracking and documentation Improve and extend the analytic methods in our products Conduct hands-on data analysis and predictive analytics on large datasets Effectively communicate complex technical results to business partners Support and drive analytic efforts around machine learning and innovation Work with a great deal of autonomy to find solutions to complex problems Review the work of others and serve as a leader/mentor Subject matter expert for our clients Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications Bachelor’s degree in Biostatistics, Mathematics, Economics, Computer Science, Theoretical Physics, Quantitative Social Sciences, Statistics, Information Systems, or relevant experience 3+ years of hands-on experience developing machine learning/deep learning models (Can be business/corporate experience and/or academic), Gen AI solutions 3+ years of experience working with healthcare data Experience applying computational algorithms and statistical methods to structured and unstructured data Experience breaking down and clearly defining problems Experience communicating highly technical results to a diverse audience Solid proficiency in advanced data science tools such as Python, Spark, SQL Comfort working as part of a team and taking the lead, as opposed to solo projects Telecommute is available Preferred Qualifications Masters degree Biostatistics, Mathematics, Economics, Computer Science, Theoretical Physics, Quantitative Social Sciences, Statistics, Information Systems Experience leading data science projects Experience reviewing the work of others Experience with deploying ML models in Azure, AWS, and/or Google Cloud Experience with agile product development At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone - of every race, gender, sexuality, age, location and income - deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.

Ready to take on ambitious challenges and make a real impact in the energy sectorAs a Grid Engineer in Bangalore, Karnataka, India, you will have the chance to work on powerful projects that contribute to a balanced future. This is your opportunity to be part of a team that is dedicated to delivering flawless energy solutions and driving innovation to new heights! Responsibilities Grid Engineer role involves tasks to implement electrical simulation models and maintain performance standards. Developing and optimizing electrical simulation models using tools such as Matlab/Simulink, Dig Silent PF, PSCAD, and PSS/E. Conducting various simulation studies with a focus on transient stability and harmonic studies. Parametrizing Wind Turbine simulation models and maintaining the Wind Turbine parameter database. Benchmarking and validating developed simulation models to ensure accuracy and reliability. Implementing wind turbine functions and features into the simulation model platform. Investigating and analyzing wind turbine functions and features in relation to connected grid systems. Requirements A minimum of 5+ years of experience in model development of electrical simulation models and electrical simulation. An educational background in Electrical Engineering. 5 Years Mandate in PSCAD Proficiency in Matlab/Simulink, Dig Silent PF, PSCAD, and PSS/E. Experience in conducting simulation studies, particularly transient stability and harmonic studies. Proficient in spoken and written English. A dedicated team player who thrives in a multicultural environment. Rewards/Benefits All employees are automatically covered under the Medical Insurance. Company paid considerable Family floater cover covering employee, spouse and 2 dependent children up to 25 years of age. Siemens Energy provides an option to opt for Meal Card to all its employees which will be as per the terms and conditions prescribed in the company policy. - As a part of CTC, tax saving measure

Risk Analyst (Equity Derivatives) Equity Derivatives Researcher Millennium s Global Risk Management Department is responsible for identifying, measuring, monitoring, managing, and reporting on the risks associated with Millennium equity derivatives portfolios. Our Risk Management organization is designed to accommodate the overall size, nature, and complexity of the firm s trading activities. We are looking to add an inquisitive minded Risk Modeler to join our team. You will have the opportunity to develop and maintain the quantitative frameworks used by our portfolio managers and senior management teams. You will be responsible for the risk framework which involves consistently evolving metrics, improved valuation methodologies and clear identification and resolution of issues associated with inadequate risk measurement. You will understand and monitor closely the strategies of PM s trading in equity derivatives and embed insights in quantitative frameworks. Your primary responsibilities will encompass: Development of Risk Measurement Techniques: Develop and maintain robust frameworks for risk measurements. You will create frameworks to deliver insights on PM strategies and risks through interacting with existing tools or building own framework Quantitative Framework Development: Assist in the creation and optimization of our quantitative framework, which includes collaborating with technology, risk, portfolio, and business managers. Tech Collaboration: Partner with the Technology department to streamline the transition of quantitative models into production environments. The priority is to ensure accuracy and efficiency in day-to-day workflows. Research Model Development: Lead research into and implementation of various quantitative models. Qualifications/Skills Required: The candidate should have a degree in a quantitative major: statistics, mathematics, engineering, and either professional experience of 1-4 years in a quantitative role in a financial organization, or an advanced degree in a quantitative field preferred. A good understanding of derivatives and valuation is a plus, and basic familiarity is generally expected. Prior experience with managing and deploying valuation models is a great add. Strong programming skills, prior experience with Python (Polars and/or Pandas) or SQL. Proficiency in at least a compiled and statically typed language is a plus; so is demonstrated programming ability on public repositories e.g., GitHub. Sense of responsibility and integrity. Intellectual curiosity and spirit of initiative. Ability to work independently and effectively manage ambiguity.

We are looking for a highly skilled and experienced Field Risk Officer to join our team at Equitas Small Finance Bank Ltd. The ideal candidate will have 1-5 years of experience in the BFSI industry. Roles and Responsibility Conduct risk assessments and evaluations to identify potential threats to the organization. Develop and implement strategies to mitigate risks and ensure compliance with regulatory requirements. Collaborate with cross-functional teams to monitor and manage risk exposure. Analyze market trends and competitor activity to inform risk management decisions. Provide expert guidance on risk management best practices to stakeholders. Identify and report on key performance indicators (KPIs) related to risk management. Job Requirements Strong understanding of risk management principles and practices. Excellent analytical and problem-solving skills. Ability to work effectively in a fast-paced environment and prioritize multiple tasks. Strong communication and interpersonal skills. Experience working with financial institutions or similar organizations. Knowledge of relevant regulations and standards, such as Basel II or CCAR/CECL. Additional Info The company offers a competitive salary and benefits package.