Lead Manager I 2c Engineering Code Security in India

Associate(M) - Category Management To plan overall supply planning for BU People Management - Team handling skills Making sure the workload is taken care of Making sure BAU works are not getting Impacted on any attrition or Long Leaves Taking up things with Concerned team , if the escalation done by team is not given importance Coordinating with Multiple stakeholders on solving real time issues on daily Level ( Inwards, catalogue, Tech, Transporter, Brand and Business team) Job Description: Co Ordinating with Product team, on projects and Developments required in the tool in order to bring goodness to the productivity on Planning and ops Supply chain understanding-DOH, Inventory Management, Inventory Health, RTV Logistic management- Lead time, Forecasting, Speed Vendor Management – Vendor Score cards reviews Warehouse management- Capacity management, Fillrate management Operation management- Daily Operation management Catalog Management understanding Qualifications & Experience Graduate from reputed institution 3-4 Years of relevant experience in Fashion buying / planning and Operations Willingness to learn, innovate, take initiatives Expertise in working on Excel Customer centric, creative & analytical problem-solving mindset Ability to work as part of a team & collaborate with others while demonstrating leadership skills Should be good at multitasking & critical thinking

Roles and Responsibilities Building templates, dashboards in Excel /Google Sheet / PowerBI for operational and management reporting Statistical and Analytical Models and methods for data analysis related to customer initiatives & growth hacks including issue diagnosis, problem dissection and tracking of results Running and maintaining the reporting system Data extraction as per business request for Ad hoc analysis Assisting the team in data analysis and mining Business analysis and understanding to highlight key lead indicator Qualifications & Experience Bachelors in Engineering, Computer Science, Math, Statistics, or related discipline from a reputed institute or an MBA from a reputed institute 2+ years of experience in working on reporting / business intelligence systems Strong database concepts and experience in SQL – can convert any business requirement into a SQL statement Expertise in Excel, PowerBI Working experience in R, Python, Tableau, QlikView, Data studio is a good to have Experience of working in a customer growth/customer analytics role is a plus Quick learner and ability to work in dynamic work environment Team player and comfortable interacting with people from multiple disciplines

Associate(M) - Category Management To plan overall supply planning for BU People Management - Team handling skills Making sure the workload is taken care of Making sure BAU works are not getting Impacted on any attrition or Long Leaves Taking up things with Concerned team , if the escalation done by team is not given importance Coordinating with Multiple stakeholders on solving real time issues on daily Level ( Inwards, catalogue, Tech, Transporter, Brand and Business team) Job Description: Co Ordinating with Product team, on projects and Developments required in the tool in order to bring goodness to the productivity on Planning and ops Supply chain understanding-DOH, Inventory Management, Inventory Health, RTV Logistic management- Lead time, Forecasting, Speed Vendor Management – Vendor Score cards reviews Warehouse management- Capacity management, Fillrate management Operation management- Daily Operation management Catalog Management understanding Qualifications & Experience Graduate from reputed institution 3-4 Years of relevant experience in Fashion buying / planning and Operations Willingness to learn, innovate, take initiatives Expertise in working on Excel Customer centric, creative & analytical problem-solving mindset Ability to work as part of a team & collaborate with others while demonstrating leadership skills Should be good at multitasking & critical thinking

Roles and Responsibilities Building templates, dashboards in Excel /Google Sheet / PowerBI for operational and management reporting Statistical and Analytical Models and methods for data analysis related to customer initiatives & growth hacks including issue diagnosis, problem dissection and tracking of results Running and maintaining the reporting system Data extraction as per business request for Ad hoc analysis Assisting the team in data analysis and mining Business analysis and understanding to highlight key lead indicator Qualifications & Experience Bachelors in Engineering, Computer Science, Math, Statistics, or related discipline from a reputed institute or an MBA from a reputed institute 2+ years of experience in working on reporting / business intelligence systems Strong database concepts and experience in SQL – can convert any business requirement into a SQL statement Expertise in Excel, PowerBI Working experience in R, Python, Tableau, QlikView, Data studio is a good to have Experience of working in a customer growth/customer analytics role is a plus Quick learner and ability to work in dynamic work environment Team player and comfortable interacting with people from multiple disciplines

Associate(M) - Category Management To plan overall supply planning for BU People Management - Team handling skills Making sure the workload is taken care of Making sure BAU works are not getting Impacted on any attrition or Long Leaves Taking up things with Concerned team , if the escalation done by team is not given importance Coordinating with Multiple stakeholders on solving real time issues on daily Level ( Inwards, catalogue, Tech, Transporter, Brand and Business team) Job Description: Co Ordinating with Product team, on projects and Developments required in the tool in order to bring goodness to the productivity on Planning and ops Supply chain understanding-DOH, Inventory Management, Inventory Health, RTV Logistic management- Lead time, Forecasting, Speed Vendor Management – Vendor Score cards reviews Warehouse management- Capacity management, Fillrate management Operation management- Daily Operation management Catalog Management understanding Qualifications & Experience Graduate from reputed institution 3-4 Years of relevant experience in Fashion buying / planning and Operations Willingness to learn, innovate, take initiatives Expertise in working on Excel Customer centric, creative & analytical problem-solving mindset Ability to work as part of a team & collaborate with others while demonstrating leadership skills Should be good at multitasking & critical thinking

Roles and Responsibilities Building templates, dashboards in Excel /Google Sheet / PowerBI for operational and management reporting Statistical and Analytical Models and methods for data analysis related to customer initiatives & growth hacks including issue diagnosis, problem dissection and tracking of results Running and maintaining the reporting system Data extraction as per business request for Ad hoc analysis Assisting the team in data analysis and mining Business analysis and understanding to highlight key lead indicator Qualifications & Experience Bachelors in Engineering, Computer Science, Math, Statistics, or related discipline from a reputed institute or an MBA from a reputed institute 2+ years of experience in working on reporting / business intelligence systems Strong database concepts and experience in SQL – can convert any business requirement into a SQL statement Expertise in Excel, PowerBI Working experience in R, Python, Tableau, QlikView, Data studio is a good to have Experience of working in a customer growth/customer analytics role is a plus Quick learner and ability to work in dynamic work environment Team player and comfortable interacting with people from multiple disciplines

Roles and Responsibilities Building templates, dashboards in Excel /Google Sheet / PowerBI for operational and management reporting Statistical and Analytical Models and methods for data analysis related to customer initiatives & growth hacks including issue diagnosis, problem dissection and tracking of results Running and maintaining the reporting system Data extraction as per business request for Ad hoc analysis Assisting the team in data analysis and mining Business analysis and understanding to highlight key lead indicator Qualifications & Experience Bachelors in Engineering, Computer Science, Math, Statistics, or related discipline from a reputed institute or an MBA from a reputed institute 2+ years of experience in working on reporting / business intelligence systems Strong database concepts and experience in SQL – can convert any business requirement into a SQL statement Expertise in Excel, PowerBI Working experience in R, Python, Tableau, QlikView, Data studio is a good to have Experience of working in a customer growth/customer analytics role is a plus Quick learner and ability to work in dynamic work environment Team player and comfortable interacting with people from multiple disciplines

Roles and Responsibilities Building templates, dashboards in Excel /Google Sheet / PowerBI for operational and management reporting Statistical and Analytical Models and methods for data analysis related to customer initiatives & growth hacks including issue diagnosis, problem dissection and tracking of results Running and maintaining the reporting system Data extraction as per business request for Ad hoc analysis Assisting the team in data analysis and mining Business analysis and understanding to highlight key lead indicator Qualifications & Experience Bachelors in Engineering, Computer Science, Math, Statistics, or related discipline from a reputed institute or an MBA from a reputed institute 2+ years of experience in working on reporting / business intelligence systems Strong database concepts and experience in SQL – can convert any business requirement into a SQL statement Expertise in Excel, PowerBI Working experience in R, Python, Tableau, QlikView, Data studio is a good to have Experience of working in a customer growth/customer analytics role is a plus Quick learner and ability to work in dynamic work environment Team player and comfortable interacting with people from multiple disciplines

Roles and Responsibilities Building templates, dashboards in Excel /Google Sheet / PowerBI for operational and management reporting Statistical and Analytical Models and methods for data analysis related to customer initiatives & growth hacks including issue diagnosis, problem dissection and tracking of results Running and maintaining the reporting system Data extraction as per business request for Ad hoc analysis Assisting the team in data analysis and mining Business analysis and understanding to highlight key lead indicator Qualifications & Experience Bachelors in Engineering, Computer Science, Math, Statistics, or related discipline from a reputed institute or an MBA from a reputed institute 2+ years of experience in working on reporting / business intelligence systems Strong database concepts and experience in SQL – can convert any business requirement into a SQL statement Expertise in Excel, PowerBI Working experience in R, Python, Tableau, QlikView, Data studio is a good to have Experience of working in a customer growth/customer analytics role is a plus Quick learner and ability to work in dynamic work environment Team player and comfortable interacting with people from multiple disciplines

Udaan Intern - Catalog Role : Udaan Intern- Catalog Location: Bengaluru Type: Internship Duration: 6 months About Udaan We take immense pride in investing in policies and programs that enable a level playing field for all. Living up to our commitment, we are launching Udaan - our ‘PwD Internship’ program, to give career opportunities to differently-abled individuals. Udaan is Myntra’s 6-month flagship internship program, designed for individuals with disabilities, providing flexible work options, tailored training modules, and hands-on projects for seamless integration into the corporate world. During your internship with us, you will get the opportunity to work with the best talent in the e-commerce industry and work on projects that match your interests, abilities and could lead to full-time employment with Myntra. Roles & Responsibilities Knowledge of fashion trends and must know about the attributes of the products Ensure that the content, attributes and images should be as per the guidelines provided. . Review the final content and suggest improvements as required. Ensure that the PDP meets the required criteria like colour, categories, materials etc. Coordinate with the buying and item master team for the running styles and to achieve High-quality standards. Ensure that all the quality standards are followed with the help of the item master team. Qualification : Proficient in MS Office (Excel, Word, Email drafting). Strong communication skills. Well versed with Latest fashion trends, knowledge product description, keyword indexing, well

Roles and Responsibilities Building templates, dashboards in Excel /Google Sheet / PowerBI for operational and management reporting Statistical and Analytical Models and methods for data analysis related to customer initiatives & growth hacks including issue diagnosis, problem dissection and tracking of results Running and maintaining the reporting system Data extraction as per business request for Ad hoc analysis Assisting the team in data analysis and mining Business analysis and understanding to highlight key lead indicator Qualifications & Experience Bachelors in Engineering, Computer Science, Math, Statistics, or related discipline from a reputed institute or an MBA from a reputed institute 2+ years of experience in working on reporting / business intelligence systems Strong database concepts and experience in SQL – can convert any business requirement into a SQL statement Expertise in Excel, PowerBI Working experience in R, Python, Tableau, QlikView, Data studio is a good to have Experience of working in a customer growth/customer analytics role is a plus Quick learner and ability to work in dynamic work environment Team player and comfortable interacting with people from multiple disciplines

Roles and Responsibilities Building templates, dashboards in Excel /Google Sheet / PowerBI for operational and management reporting Statistical and Analytical Models and methods for data analysis related to customer initiatives & growth hacks including issue diagnosis, problem dissection and tracking of results Running and maintaining the reporting system Data extraction as per business request for Ad hoc analysis Assisting the team in data analysis and mining Business analysis and understanding to highlight key lead indicator Qualifications & Experience Bachelors in Engineering, Computer Science, Math, Statistics, or related discipline from a reputed institute or an MBA from a reputed institute 2+ years of experience in working on reporting / business intelligence systems Strong database concepts and experience in SQL – can convert any business requirement into a SQL statement Expertise in Excel, PowerBI Working experience in R, Python, Tableau, QlikView, Data studio is a good to have Experience of working in a customer growth/customer analytics role is a plus Quick learner and ability to work in dynamic work environment Team player and comfortable interacting with people from multiple disciplines

Roles and Responsibilities Building templates, dashboards in Excel /Google Sheet / PowerBI for operational and management reporting Statistical and Analytical Models and methods for data analysis related to customer initiatives & growth hacks including issue diagnosis, problem dissection and tracking of results Running and maintaining the reporting system Data extraction as per business request for Ad hoc analysis Assisting the team in data analysis and mining Business analysis and understanding to highlight key lead indicator Qualifications & Experience Bachelors in Engineering, Computer Science, Math, Statistics, or related discipline from a reputed institute or an MBA from a reputed institute 2+ years of experience in working on reporting / business intelligence systems Strong database concepts and experience in SQL – can convert any business requirement into a SQL statement Expertise in Excel, PowerBI Working experience in R, Python, Tableau, QlikView, Data studio is a good to have Experience of working in a customer growth/customer analytics role is a plus Quick learner and ability to work in dynamic work environment Team player and comfortable interacting with people from multiple disciplines

Who are we: Graviton is a privately funded quantitative trading firm striving for excellence in financial markets research. We trade across a multitude of asset classes and trading venues using a gamut of concepts and techniques ranging from time series analysis, filtering, classification, stochastic models, pattern recognition, to statistical inference analyzing terabytes of data to come up with ideas to identify pricing anomalies in financial markets. As part of this team you will be tasked to apply machine learning and specifically deep learning techniques to trading problems while staying connected to broader research community. The researcher will put theory into practice and can immediately impact the global trading landscape with the expanding presence of Graviton in various markets. Description Lead research in applying machine learning to a wide variety of datasets and trading problems Follow latest developments in academic research and incorporating research techniques from different fields of applications to our problems Improve tick-by-tick order book based time series feature sets using latest preprocessing techniques Work on current and develop new deep learning models to exploit large pool of in-house features and computing infrastructure Develop scalable pipeline for building predictive models across global markets Discover and implement new sources of predictive alpha, verify that they improve existing models, and integrate them into the firm's strategy development pipeline Partner with quant researchers and software developers in implementation of conducted research to production using Python / C++ Advise infrastructure support team on latest developments on hardware and software to improve computing infrastructure for ML based research Qualifications Masters or PhD in Computer Science, Mathematics, Statistics, or a related field At least two years of demonstrated experience of ML/AI research in a professional setting or at a repu

A CAREER WITH POINT72’S TECHNOLOGY TEAM As Point72 reimagines the future of investing, our Technology group is constantly improving our company’s IT infrastructure, positioning us at the forefront of a rapidly evolving technology landscape. We’re a team of experts experimenting, discovering new ways to harness the power of open-source solutions, and embracing enterprise agile methodology. We encourage professional development to ensure you bring innovative ideas to our products while satisfying your own intellectual curiosity. WHAT YOU’LL DO Monitor, triage, and assess incidents across global markets and technology platforms, validating severity, business impact, and escalation requirements. Act as command-and-control lead for major incidents, driving structured response, rapid restoration, and informed decision-making. Coordinate recovery efforts across L1/L2/L3 support teams, engineering, infrastructure, and third-party vendors to minimize business disruption. Lead internal and external stakeholder communications, including senior leadership, during incidents and service disruptions. Trigger and govern disaster recovery (DR) failover in line with predefined criteria, controls, and governance standards. Ensure accurate, timely, and audit-ready incident documentation, including detailed timelines, evidence, and impact analysis. Facilitate post-incident reviews (RCA/post-mortems), ensure root causes are clearly identified, and track corrective and preventative actions to closure. Govern end-to-end change management, including change risk assessment, CAB facilitation, approval workflows, maintenance windows, and change-related incident management. Drive continuous improvement in incident, change, and event management processes through automation, standardization, and improved tooling and alert quality. Partner with engineering and operations teams to design scalable, resilient processes, promote best practices, and enhance operational matur