Contracts Content Writer - SAAS

About SkillSecure X

SkillSecure X is an EdTech and technology company focused on providing industry-oriented training, internships, and real-world project experience in Artificial Intelligence, Data Science, Web Development, Cloud Computing, Cybersecurity, and emerging technologies. Our internship programs are designed to bridge the gap between academic learning and industry requirements through practical assignments, mentor guidance, and project-based learning.

About the Internship

We are looking for motivated and enthusiastic Data Science with AI Interns who are passionate about data analysis, machine learning, and artificial intelligence. This internship provides hands-on exposure to real-world datasets, AI tools, predictive modeling, and data visualization while working on guided industry projects.

This opportunity is ideal for students and recent graduates who want to strengthen their practical skills and build a professional portfolio.

Responsibilities

• Analyze structured and unstructured datasets.
• Clean, preprocess, and transform data for analysis.
• Build basic machine learning models.
• Perform exploratory data analysis (EDA).
• Develop data visualization dashboards and reports.
• Work with Python libraries such as Pandas, NumPy, Matplotlib, and Scikit-learn.
• Learn and apply AI concepts in practical use cases.
• Complete weekly project tasks and assignments.
• Document findings and present project outcomes.
• Collaborate with mentors and fellow interns.

Required Skills

• Basic knowledge of Python programming.
• Understanding of statistics and mathematics fundamentals.
• Familiarity with Data Science concepts.
• Basic understanding of Machine Learning.
• Knowledge of SQL is an added advantage.
• Good analytical and problem-solving skills.
• Strong communication and willingness to learn.

Eligibility

• Undergraduate or postgraduate students.
• Recent graduates.
• Students pursuing Computer Science, Information Technology, Data Science, Artificial Intelligence, Statistics, Mathematics, Engineering, or related disciplines.
• Candidates with a strong interest in AI and Data Science are encouraged to apply.

What You'll Learn

• Python for Data Science
• Data Cleaning & Preprocessing
• Exploratory Data Analysis (EDA)
• Machine Learning Fundamentals
• Artificial Intelligence Concepts
• Data Visualization
• Model Evaluation
• Real-world Project Development
• Professional Documentation
• Industry Best Practices

Internship Benefits

• Hands-on project experience.
• Mentor-guided learning.
• Internship Certificate upon successful completion.
• Letter of Recommendation (based on performance).
• Opportunity to build a professional portfolio.
• Flexible remote working environment.
• Exposure to industry-standard tools and workflows.
• Networking with mentors and peers.

Description of Role: 

We are looking for a career-minded professional with global perspective to join the Mumbai based Data & Analytics Group (DAG).

Key responsibilities:

As part of the Data & Analytics Group (DAG) and reporting to the Head of the India DAG locally, the individual is responsible for the following –

1.Review, analyze, and resolve data quality issues for enterprise core data in the IM Data Warehouse.

2.Coordinate with data owners and other teams to identify root-cause of data quality issues and implement solutions.

3.Coordinate the onboarding of data from various internal / external sources into the central repository.

4.Work closely with Data Owners/Owner delegates on data analysis and development data quality (DQ) rules. Work with IT on enhancing DQ controls.

5.End-to-end analysis of business processes, data flows, and data usage to improve business productivity through re-engineering and data governance.

6.Interact with business stakeholders to identify, prioritize, and address data-related needs and issues.

7.Document business requirements and use cases for data-related projects.

8.Manage change control process and participate in user acceptance testing (UAT) activities.

9.Support other DAG initiatives.

Key Skills:

1.Ability to interact with business and technology teams to understand processes and data usage.

2.Ability to do data analysis - to trace data from source to consumption.

3.Capable of working across organization and as part of a cross-functional virtual team. Ability to work and think independently, but within a team-based approach.

4.Problem solver, self-starter, ability to work through an entire issue lifecycle. Ability to effectively prioritize and multi-task.

5.Strong communication skills

Key qualifications:

1.Bachelor’s Degree required and any other relevant academic course a plus.

2.Strong domain knowledge of investment data

3.5+ years of data management, data analytics, or data governance experience in financial services

4.Experience in data analysis, exploratory analysis using SQL and formulating data quality rules.

5.Experience working with BI reporting tools like Tableau, Power BI is preferred.

6.Knowledge in coding, Python is a plus.

7.Prior experience working with Data Platforms like Aladdin, FactSet, Bloomberg, MDM platforms preferred.

    Working knowledge (including design and configuration) of any TMS application e.g. ION-IT2, Oracle Treasury, SAP TRM, etc.

2.      Should have completed at least 4 years in any TMS IT implementation 

3.      Strong experience with corporate funding, treasury, and related accounting functions. 

4.      Experience in business transformation with adapting existing systems to new businesses and strategies 

5.      Strong academic background – An excellent degree from a top-tier university is required in a subject that demonstrates the need for logical thinking, precise understanding, and clear articulation

Attributes:

·       Independent delivery and ownership-focused

·       End-to-end process mindset

·       Able to self-manage, collaborate, and regularly prioritize and manage activities across multiple workstreams

·       Good communicator, engaging, and able to work with offshore teams across various time zones

·        Excellent written and verbal communication skills

·       Ability to make data-driven decisions & thrive in a fast-paced environment

Key Responsibilities:

Accountable for functionally supporting Trafigura’s IT deliverables for the TMS application. Including;

6.      Ensuring TMS application supports the agreed business requirements.

7.      Review and challenge all requirements/change requests and specifications including:

1.      Functional Requirements

1.      Application functions

2.      Reporting functions

2.      Application Interfaces

3.      Operational control activities

4.      Audit requirements

8.      Documenting the implementation specifications/configurations, and preparing a knowledge base for the application.

9.      Where required, administering, the configuration of the TMS.

10. Develop (review if required) test scenarios and test cases and support end-users with testing

11. Support all type of issue resolution with the respective application owners

12. Identify areas of improvement, research best practices, and offer guidance and recommendations for process changes and potential solutions

Looking for MS Dynamics AX Technical Consultant, who can join in 10-15 Days

Hybrid Mode- Bangalore/Hyderabad

1. 6 years of relevant ERP experience with a strong understanding of Microsoft Dynamics AX (in addition to degree or years of previous experience), preferably with a Dynamics AX certification

2. Design, develop, and customize solutions within Microsoft Dynamics AX 2012.

3. Implement AX customizations using X++, MorphX, and SSRS reports.

4. Data Migration: Experience in data migration using DIXF and other data tools

Responsibilities:

• Develop application modules independently and fix any bugs promptly.
• Perform unit testing for the development work carried out
• Act as a mentor to the junior resources and provide technical guidance.
• Troubleshoot problems and provide solutions.
• Conduct and participate in project planning & scheduling, design discussions, and provide assistance during testing.
• Remain up to date with the modern industry practices involved in designing & developing high-quality software.
• Ability to perform engineering and identify and fix bottlenecks.

Must have

• Must have at least 2 years of experience in MERN Stack development.
• Technical documentation as the requirements of the project.
• Must possess strong analytical skills to be able to break down complex problems into smaller atomic units of work.
• Good knowledge of Express.js, React and JS libraries.
• Clear understanding of JavaScript and Typescript.
• Sound understanding of MVC and design patterns.
• Excellent grasp of data structures and designing and developing ReST APIs.
• Good skills in either RDBMS (e.g. MySQL or PostgreSQL) or NoSQL (MongoDB or equivalent).
• Experience in developing responsive web applications.
• Good communication skills.
• Willingness to learn and adopt new technologies in a short period of time as required by the project.
• Sound understanding of Agile and Scrum methodologies and ability to participate in Sprint ceremonies.

Nice to have:

• Good grasp of UI / UX concepts
• Experience in using Git & VSCode.
• Knowledge of AWS, Azure, CI / CD, Gitflow, shell scripting
• Ability to build/own/maintain a comprehensive set of component libraries for a React JS UI
• Ability to design/develop for cross-browser/device compatibility

We strive to create an environment where differences are not only accepted but greatly valued; where everyone can make the most of their capabilities and potential. We promote meritocracy, competence and a sharing of ideas and opinions. We are driven by data and believe the diversity, agility, generosity, and curiosity of our people is what sets us apart as an organization and helps us thrive.

We are actively seeking software development engineers who are interested in designing robust trading systems and refining programs to efficiently manage various types of financial market data that facilitate our quantitative investment research. By designing and improving the firm's internal applications, the SDE will play a key role in expanding the firm's trading capabilities.

Responsibilities:

• Management & scaling up existing infrastructure for high-frequency market data capture.
• Develop a scalable and consistent data handling infrastructure for the above data to facilitate efficient backtesting of quantitative investment strategies.
• Perform R& D; to build a software platform in Python for backtesting various kind of investment strategies using the above databases.
• This will involve studying the strategy development process and performance evaluation metrics.
• Develop autopilot risk-management systems to monitor live performance of the Portfolio.
• Improve the existing algorithms to achieve better execution price and reduce the latency.

Requirements:

Our ideal candidate would have graduated with a degree in computer science from a top university with 1-3 years industry experience, along with:

• High Level of proficiency in Python and good knowledge of Matlab/C++/C#.
• Past experience in dealing with large datasets and Knowledge of database administration and network programming will be a plus.
• Well-versed in software engineering principles, frameworks and technologies.
• The ability to manage multiple tasks in a fast-paced environment.
• Excellent analytical and problem solving abilities.
• A keen interest in learning about the financial markets.