• Excellent understanding of machine learning techniques and algorithms, such as SVM, Decision Forests, k-NN, Naive Bayes etc.
• Experience in selecting features, building and optimizing classifiers using machine learning techniques.
• Prior experience with data visualization tools, such as D3.js, GGplot, etc..
• Good knowledge on statistics skills, such as distributions, statistical testing, regression, etc..
• Adequate presentation and communication skills to explain results and methodologies to non-technical stakeholders.
• Basic understanding of the banking industry is value add
Develop, process, cleanse and enhance data collection procedures from multiple data sources.
• Conduct & deliver experiments and proof of concepts to validate business ideas and potential value.
• Test, troubleshoot and enhance the developed models in a distributed environments to improve it's accuracy.
• Work closely with product teams to implement algorithms with Python and/or R.
• Design and implement scalable predictive models, classifiers leveraging machine learning, data regression.
• Facilitate integration with enterprise applications using APIs to enrich implementations

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We are seeking an exceptional Lead Shopify Developer to join our incredible team. You'll be a critical participant in projects working closely with designers, performance managers, our creative team, and the Technical Director. To optimize our Shopify Plus store. Fluency in HTML5 and JavaScript, experience with custom theme development, Shopify Plus experience, and familiarity with Next and React are essential. The ideal candidate would also be expected to help manage core Shopify platform integrations such as Klavyio, Zendesk, and other vital Shopify applications.
Qualifications:
Strong proficiency in Shopify Plus and Shopify Scripts
Experience with custom theme development for Shopify Plus (advanced customer fields experience)
Fluency in HTML5, CSS, JavaScript/jQuery Experience with Shopify app integrations (integrating third-party APIs)
Familiarity with Github
Strong understanding of SEO and web development Experience with Server and DNS management Understanding cross-browser compatibility problems and the ability to offer solutions
Experience with user testing and usability analysis
Familiarity with UX/UI concepts and best practices
Responsibilities:
Actively involved in all phases of the site development
Manage our Shopify Plus store Work with the marking team to create landing pages Change website content to improve the customer journey Help manage third-party integrations and applications Optimize page load times Resolve cross-browser issues (troubleshooting server and site issues)
Familiarity with design software such as Photoshop to customize visuals and media on sites Attend group meetings and offer recommendations to improve the optimization of customer journey and conversion
Communicate regularly with team members through channels such as Slack and Asana
Responsibilities:
- Develop and implement digital marketing strategies to drive lead generation and customer acquisition.
- Plan, execute, and optimize paid advertising campaigns across various digital platforms, including Google Ads, Facebook Ads, LinkedIn Ads, etc.
- Conduct keyword research and analysis to identify opportunities for improving search engine visibility and organic traffic.
- Create compelling ad copy and visual assets for digital ads, landing pages, and other marketing collateral.
- Monitor campaign performance, analyze key metrics, and provide actionable insights and recommendations for optimization.
- Collaborate with internal teams, including content creators, designers, and developers, to ensure cohesive and effective digital marketing campaigns.
- Stay updated on industry trends, best practices, and emerging technologies in digital marketing.
Requirements:
- 2-3 years of proven experience in digital marketing, with a focus on lead generation and paid campaigns.
- Proficiency in digital advertising platforms such as Google Ads, Facebook Ads Manager, LinkedIn Ads, etc.
- Strong analytical skills and the ability to interpret data to drive decision-making and campaign optimization.
- Excellent communication skills, both written and verbal.
- Creative thinking and problem-solving abilities.
- Ability to work independently and as part of a collaborative team environment.
- Responsible for designing, storing, processing, and maintaining of large-scale data and related infrastructure.
- Can drive multiple projects both from operational and technical standpoint.
- Ideate and build PoV or PoC for new product that can help drive more business.
- Responsible for defining, designing, and implementing data engineering best practices, strategies, and solutions.
- Is an Architect who can guide the customers, team, and overall organization on tools, technologies, and best practices around data engineering.
- Lead architecture discussions, align with business needs, security, and best practices.
- Has strong conceptual understanding of Data Warehousing and ETL, Data Governance and Security, Cloud Computing, and Batch & Real Time data processing
- Has strong execution knowledge of Data Modeling, Databases in general (SQL and NoSQL), software development lifecycle and practices, unit testing, functional programming, etc.
- Understanding of Medallion architecture pattern
- Has worked on at least one cloud platform.
- Has worked as data architect and executed multiple end-end data engineering project.
- Has extensive knowledge of different data architecture designs and data modelling concepts.
- Manages conversation with the client stakeholders to understand the requirement and translate it into technical outcomes.
Required Tech Stack
- Strong proficiency in SQL
- Experience working on any of the three major cloud platforms i.e., AWS/Azure/GCP
- Working knowledge of an ETL and/or orchestration tools like IICS, Talend, Matillion, Airflow, Azure Data Factory, AWS Glue, GCP Composer, etc.
- Working knowledge of one or more OLTP databases (Postgres, MySQL, SQL Server, etc.)
- Working knowledge of one or more Data Warehouse like Snowflake, Redshift, Azure Synapse, Hive, Big Query, etc.
- Proficient in at least one programming language used in data engineering, such as Python (or Scala/Rust/Java)
- Has strong execution knowledge of Data Modeling (star schema, snowflake schema, fact vs dimension tables)
- Proficient in Spark and related applications like Databricks, GCP DataProc, AWS Glue, EMR, etc.
- Has worked on Kafka and real-time streaming.
- Has strong execution knowledge of data architecture design patterns (lambda vs kappa architecture, data harmonization, customer data platforms, etc.)
- Has worked on code and SQL query optimization.
- Strong knowledge of version control systems like Git to manage source code repositories and designing CI/CD pipelines for continuous delivery.
- Has worked on data and networking security (RBAC, secret management, key vaults, vnets, subnets, certificates)
To complete the financial analysis and projection modelling for ongoing monitoring of the high yield
loans for an UK based commercial bank
Analyzing and spreading the historical financial statements in excel
Analysis of financial statements including Income Statement, Balance Sheet and Cash Flow Statement
(incl. Free cash flow, funds from operations) of public and private companies
Going through the supplementary schedules, notes and MD&A for the detailed breakups and
normalizing the financial statements for exceptional items to arrive at the true profitability figures
Analyze the operating metrics to project the major line items like Revenues, EBITDA etc.
Preparing detailed capital structure and debt amortization schedules (tranche wise) including pro forma
adjustment for the acquisition. Candidate should have strong understanding of various classes of debt
(secured/unsecured/subordinated) and financing options used by the borrower for the deal
Analyzing the pro forma credit metrics like total leverage, interest coverage, fixed charge coverage etc.
Analyzing the financial covenants applicable to the borrower
Strong understanding of financial projections based on management guidance, company budget and
consensus estimates. This will include creating various scenarios like management case, sponsor
case, upside and downside case etc.
Screening the merger agreements and assessing synergies from the deal based on management
inputs and third party data sources
Strong understanding of calculating IRR and various valuation techniques like DCF, Peer multiple and
liquidation based recovery analysis for various debt pieces using recovery values for each asset type
Conducting detailed Quality Checks and delivering to the client
Responsible for achieving 100% quality
Meeting strict deadlines and ability to work under pressure
Ability to work individually and in the team
Update reporting manager on the tasks in hand, completed on a regular basis
Communicate with onshore Risk team for providing regular update and workflows
Provide inputs, involved in discussions and Implementing new ideas to generate efficiency
Requirements-
MBA (Finance) / CFA / CA (CPA equivalent)
Experience of 4 - 6 years in financial modeling and analysis using excel
Proficient in MS Excel
Prior experience of working on LBO models is preferred
Excellent written and spoken communication skills
- Designing, developing, and testing UI for mobile and web applications
- Build reusable code and libraries for future use
- Accurately translate user and business needs into functional frontend code.
- Developing new user-facing features using React and redux
- Building reusable components and front-end libraries for future use.
- Translating designs and wireframes into high-quality code with proper standards.
- Optimizing components for maximum performance across a vast array of web-capable devices and browsers.
- Work with outside data sources and APIs.
- Added Advantage: Knowledge and experience in Cloud Computing
Office Location: Goregaon Mumbai
Position Description: 2+ years of experience on development.
Primary Responsibilities:
- Translate designs and style guides provided by the UI/UX team into functional user interfaces, ensuring cross browser compatibility and performance
- Build efficient and reusable front-end system that drive complex web applications
- Identify, address performance bottleneck and communicate best practices for front end engineering
- Responsible for meeting expectations and deliverables on time and in high quality
- Collaborate with Product Designers, Product Managers, and Software Engineers to build/deliver next generation products
- Interact with other team members to incorporate their innovations and vice versa
- Rapid prototyping web user interfaces
Required Skills:
Mandatory: Passionate about sports, Problem solving, Team player, Target & Result oriented.
Functional: HTML5, CSS3, Bootstrap, Flexbox, SASS, LESS, Animation, Photoshop, Javascript & JQuery, Understanding of UI & UX, Cross Browser Compatibility and accessibility for Web & Mobile applications, GIT & JIRA.
- Experience in Web and Mobile Applications.
- Agility and ability to adapt quickly to changing requirements and scope and priorities
- Strong proficiency with JavaScript (ECMAScript 5, 6)
- Knowledge of Node.js and frameworks available for it (SailsJS, Express)
- Understanding the nature of asynchronous programming and its quirks and workarounds.Familiarity with front-end technologies.
- User authentication and authorization between multiple systems, servers, and environments.
- Interaction with multiple data sources.
- Good understanding of SQL syntax.
- Understanding fundamental design principles behind a scalable application.
- Understanding differences between multiple delivery platforms, such as mobile vs. desktop, and optimizing output to match the specific platform.
- Implementing automated testing platforms and unit tests.
- Proficient understanding of code versioning tools, such as Git.
- Knowledge in the field of IOT is good to have.
Requirement::
• Design and build advanced applications for the Android platform.
• Collaborate with cross-functional teams to define, design, and ship new features.
• Work with outside data sources and APIs.
• Unit-test code for robustness, including edge cases, usability, and general reliability.
• Work on bug fixing and improving application performance.
• Continuously discover, evaluate, and implement new technologies to maximize development efficiency.
• Proven software development experience and Android skills development
• Proven working experience in Android app development
• Have published at least one original Android app
• knowledge with Android SDK
• knowledge working with remote data via REST and JSON
• knowledge with third-party libraries and APIs
• Working knowledge of the general mobile landscape, architectures, trends, and emerging technologies
• Solid understanding of the full mobile development life cycle.
Website - https://praxinfo.com/">https://praxinfo.com/








