Equity Research Analyst

Job Title : ArcGIS Developer

Work Mode : Remote

Experience Required : 8+ Years

Job Description :

We are seeking an experienced ArcGIS Developer to design, implement, and support GIS-based solutions.

The ideal candidate will have strong expertise in ArcGIS Pro, ArcPy, and GIS server configuration, and will play a key role in the development of new ArcGIS features and spatial data applications.

Key Responsibilities :

• Develop and enhance ArcGIS features and functionalities.
• Configure and manage ArcGIS Server and related components.
• Implement GIS-based solutions within various projects.
• Provide hands-on training and technical support to teams transitioning into GIS or developer roles.
• Work with geospatial data including spatial, tabular, and attribute data.
• Develop and manage geocoding and geo-referencing workflows using ArcPy.
• Perform spatial analysis including map scaling, analytic overlay, and point source mapping.
• Utilize ESRI GeoDatabase and shapefiles for data management and processing.
• Integrate US Census geographies and map tiles into GIS applications.

Required Skills (Mandatory) :

• ArcGIS Pro
• ArcGIS Server
• ArcPy
• GIS Server Configuration
• Spatial Data Analysis
• Geo-coding & Geo-referencing
• ERSI GeoDatabase & Shape Files
• US Census Geographies
• Map Scaling & Tiles
• Analytic Overlay & Point Source Mapping

As the Lead Robotics Software Engineer and Founding Engineer, you will architect and lead the development of robotic software for AI Robots. You’ll design and implement robot manipulation and control algorithm, motion planning systems and navigation system leading the development of robust, scalable solutions that redefine AI-driven robotics in construction.

Key Responsibilities:

• ● Design and optimize motion planning and trajectory systems for robotic construction equipment
• ● Develop control systems for autonomous construction robots
• ● Build and maintain simulation environments for system validation
• ● Implement sensor fusion algorithms for improved robot perception and decision-making
• ● Lead the development of advanced algorithms for robot navigation and control
• ● Collaborate with cross-functional teams to deliver scalable robotics solutions
• Qualifications and Skills:
• ● Bachelor's/Master's (MS or PhD) in Robotics, Computer Science, AI, ML, or related field
• ● 2-7 years of experience in Robotics, Manipulator systems, Control Systems, localization,
• mapping, and navigation
• ● Proficiency in MoveIt2 for manipulation stack, and experience with simulation tools like
• Gazebo, RViz, and NVIDIA Isaac Sim
• ● Strong understanding of control systems, including sensor fusion, Kalman filters, motion
• planning, and trajectory optimization
• ● Excellent programming skills in Python & C++ with familiarity in ROS2
• ● Ability to lead and thrive in a fast-paced startup environment
• Why you should apply:
• ● Join a dynamic startup and work directly with the founders to shape the future of robotics in construction
• ● Be part of a mission to create intelligent robots that eliminate the need for human labour in harsh and unsafe environments
• ● Experience the thrill of building not just a product, but a company from the ground up 

Positively engage with the public and motivate them to support INGOs by donating for a social cause.

Work with your Team Leader and Coach to achieve weekly quantity and quality fundraising targets.

Ensure you possess relevant collateral/resources to carry out your role Obtain and identify quality donors using methods outlined in Core Skills training.

Participate in training sessions as directed by your Team Leader or Coach. Actively share trained information and fundraising techniques with fellow team members

Clear, regular and timely communication with Team Leader and Coach Collegial relationships maintained with other team leaders and members.

Positive relationships built and maintained with shopping centre management/councils and local authority and regulatory rules adhered to.

We are looking to fill the role of AWS devops engineer . To join our growing team, please review the list of responsibilities and qualifications.

Responsibilities:

• Engineer solutions using AWS services (Cloud Formation, EC2, Lambda, Route 53, ECS, EFS )
• Balance hardware, network, and software layers to arrive at a scalable and maintainable solution that meets requirements for uptime, performance, and functionality
• Monitor server applications and use tools and log files to troubleshoot and resolve problems
• Maintain 99.99% availability of the web and integration services
• Anticipate, identify, mitigate, and resolve issues relating to client facing infrastructure
• Monitor, analyse, and predict trends for system performance, capacity, efficiency, and reliability and recommend enhancements in order to better meet client SLAs and standards
• Research and recommend innovative and automated approaches for system administration and DevOps tasks
• Deploy and decommission client environments for multi and single tenant hosted applications following and updating as needed established processes and procedures
• Follow and develop CPA change control processes for modifications to systems and associated components

Practice configuration management, including maintenance of component inventory and related documentation per company policies and procedures.

Qualifications :

• Git/GitHub version control tools
• Linux and/or Windows Virtualisation (VMWare, Xen, KVM, Virtual Box )
• Cloud computing (AWS, Google App Engine, Rackspace Cloud)
• Application Servers, servlet containers and web servers (WebSphere, Tomcat)
• Bachelors / Masters Degree - 2+ years experience in software development
• Must have experience with AWS VPC networking and security

Around 4 years of experience in creating and implementing Web-based applications using

C#, ASP.net, Web API, MVC, Micro Services, JavaScript and SQL Server.

Familiarity or exposure to CI / CD, Dev Ops such as Dockers, containers, Azure, Pipeline is

highly recommended

Ability to work in an Agile, fast-paced environment, and learn rapidly.

Bachelor degree in computer science, computer engineering or similar.

Familiar with object-oriented development, design patterns and specifically in .NET

Framework (C#) with a strong background in web-based development and service-oriented

Architecture.

Expert in HTML, CSS, JavaScript, JQuery, JSON.

Writing clean, readable, and easily maintainable code.

Must have knowledge of project/task management tools like Jira,

Familiarity with Version Control like Bitbucket, Git etc.

Understanding of UI, cross-browser compatibility and web standards.

Build features and applications with responsive design

Good English communication skills, written and spoken.

Able to work with minimum supervision as well as perform under pressure and meet

Deadlines.

Area of professional exposure (functional/technical skills) :

· Hands-on experience with Google Cloud Platform (GCP) Services (Data Flow/Cloud Run/Big Query/Cloud SQL Server/GCS etc.)

· Experience in deploying to GCP environments (Cloud Run/CaaS/OpenShift/Containerization)

· Experience with Continuous Integration/Continuous Delivery tools and pipelines – Tekton, Terraform and Jenkins

· Experience with Java/J2EE frameworks, Web development and REST APIs/microservices development (Spring Boot, Spring Cloud)

· Good exposure to GCP application developments.

· Hands-on experience with Angular (front-end development)

· Experience in using build tools like Gradle, Maven and Ant etc.

· Experience with GitHub or equivalent source control repositories

· Experience in developing data processing tasks using Spark/PySpark

· Good working knowledge of relational databases like MS SQL, Oracle etc.

We are a nascent quantitative hedge fund led by an MIT PhD and Math Olympiad medallist, offering opportunities to grow with us as we build out the team. Our fund has  world class investors and big data experts as part of the GP,  top-notch ML experts as advisers to the fund, plus has equity funding to grow the team, license data and scale the data processing.

We are interested in researching and taking in live a variety of quantitative strategies based on historic and live market data, alternative datasets, social media data (both audio and video) and stock fundamental data.

You would join, and, if qualified, lead a growing team of data scientists and researchers, and be responsible for a complete lifecycle of quantitative strategy implementation and trading.

Requirements:

• Atleast 3 years of relevant ML experience
• Graduation date : 2018 and earlier
•   3-5 years of experience in high level Python programming.
• Master Degree (or Phd) in quantitative disciplines such as Statistics, Mathematics, Physics, Computer Science in top universities.
•   Good knowledge of applied and theoretical statistics, linear algebra and machine learning techniques. 
•   Ability to leverage financial and statistical insights to research, explore and harness a large collection of quantitative strategies and financial datasets in order to build strong predictive models.
• Should take ownership for the research, design, development and implementation of the strategy development and effectively communicate with other team mates
•   Prior experience and good knowledge of lifecycle and pitfalls of algorithmic strategy development and modelling. 
•   Good practical knowledge in understanding financial statements, value investing, portfolio and risk management techniques.
•   A proven ability to lead and drive innovation to solve challenges and road blocks in project completion.
• A valid Github profile with some activity in it

Bonus to have:

•   Experience in storing and retrieving data from large and complex time series databases
•   Very good practical knowledge on time-series modelling and forecasting (ARIMA, ARCH and Stochastic modelling)
•   Prior experience in optimizing and back testing quantitative strategies, doing return and risk attribution, feature/factor evaluation. 
•   Knowledge of AWS/Cloud ecosystem is an added plus (EC2s, Lambda, EKS, Sagemaker etc.) 
•   Knowledge of REST APIs and data extracting and cleaning techniques 
•   Good to have experience in Pyspark or any other big data programming/parallel computing
•   Familiarity with derivatives, knowledge in multiple asset classes along with Equities.
•   Any progress towards CFA or FRM is a bonus
• Average tenure of atleast 1.5 years in a company