SEO TEAM LEADER

Role/ Job Title: Specialist-IT Governance & Compliance (IT Operational Risk Management)

Function/ Department: Information Technology

Roles & Responsibilities:

• Review of Policies, Product Notes, Product notes / Standard Operating Procedures from Operational Risk perspective and documentation of risk register for banking channels/products for e.g. Internet banking, Mobile Banking, UPI, Corporate Internet Banking, ENACH, E-Toll, SMS, IVR Banking etc. and IT & ISG
• Control Self testing to be conducted, to evaluate efficiency of controls claimed as per the Risk and Control Matrix.
• Identification and monitoring of Key Risk Indicators (KRI’s) for units ensuring that deteriorating KRIs are tracked for resolution and remedial measures for getting back to acceptable levels.
• Tracking & Monitoring of Incidents reported, corrective/preventive actions taken in timely manner by assigned units for e.g. Digital banking units, IT and ISG. Investigating the same and assuring that necessary corrective action and preventive action are provided by the unit before finalizing the same with the ORM team.
• Review of the action points implemented and leading the remediation of the Audit observations to closure whereby the controls implemented stand the test of review and avoidance of recurrence.
• Defining, implementing and functionalizing a Risk Management Frameworks and Programs in collaboration with various stake holders.
• Strengthen Operational Risk Framework and ensure implementation and governance process through periodic MIS and engagements with stake holders on remedial plans.
• Help and train stakeholders in ensuring adherence to Operational Risk Frameworks.
• Senior Management reporting work such as preparation of presentations, minutes of meeting etc.
• Excellent written and verbal communications skills.

Required Skills:

• Technical, functional knowledge and experience of working in risk team and have relevant experience of working in Banking channels for e.g. Internet Banking & Mobile banking, UPI etc and IT and ISG areas.
• Shall have good knowledge and experience of Information Technology (IT) applications and IT/Information Security risks and controls review.
• Shall have good knowledge and understanding of Third party/vendor involvement and various fintech models involved in digital banking space.
• Ability to drive periodic updates to senior management and remediation programs in line with Risk Management Practices
• Ability to Drive Remediation Programs on corrective Action plans in a timely manner through effective governance.

Education Qualification (Fulltime):

Certified Chartered Accountant (CA)

Preferred Certifications: CISA, ISO27001/002 (ISMS), ISO22301(BCMS), CISM, CRISC.

Experience:

Minimum of 5+ Years in IT ORM, IT applications risks and controls reviews.

• Proficient with Swift and Cocoa Touch
• Experience with iOS frameworks such as Core Data, Core Animation, Core Location etc
• Experience in Design patterns such as POP, MVVM, CleanSwift, Facade
• Familiarity with RESTful APIs to connect iOS applications to back-end services
• Familiarity with cloud message APIs and push notifications
• Understanding of Apple's design principles and interface guidelines
• Ensure the performance, quality, and responsiveness of applications
• Experience with offline storage, threading, and performance tuning
• Understanding of the full mobile development life cycle
• Understanding of Git

POSITION / TITLE: Data Science Lead

Location: Offshore – Hyderabad/Bangalore/Pune

Who are we looking for?

Individuals with 8+ years of experience implementing and managing data science projects. Excellent working knowledge of traditional machine learning and LLM techniques. 

‎ The candidate must demonstrate the ability to navigate and advise on complex ML ecosystems from a model building and evaluation perspective. Experience in NLP and chatbots domains is preferred.

We acknowledge the job market is blurring the line between data roles: while software skills are necessary, the emphasis of this position is on data science skills, not on data-, ML- nor software-engineering.

Responsibilities:

· Lead data science and machine learning projects, contributing to model development, optimization and evaluation. 

· Perform data cleaning, feature engineering, and exploratory data analysis.  

· Translate business requirements into technical solutions, document and communicate project progress, manage non-technical stakeholders.

· Collaborate with other DS and engineers to deliver projects.

Technical Skills – Must have:

· Experience in and understanding of the natural language processing (NLP) and large language model (LLM) landscape.

· Proficiency with Python for data analysis, supervised & unsupervised learning ML tasks.

· Ability to translate complex machine learning problem statements into specific deliverables and requirements.

· Should have worked with major cloud platforms such as AWS, Azure or GCP.

· Working knowledge of SQL and no-SQL databases.

· Ability to create data and ML pipelines for more efficient and repeatable data science projects using MLOps principles.

· Keep abreast with new tools, algorithms and techniques in machine learning and works to implement them in the organization.

· Strong understanding of evaluation and monitoring metrics for machine learning projects.

Technical Skills – Good to have:

· Track record of getting ML models into production

· Experience building chatbots.

· Experience with closed and open source LLMs.

· Experience with frameworks and technologies like scikit-learn, BERT, langchain, autogen…

· Certifications or courses in data science.

Education:

· Master’s/Bachelors/PhD Degree in Computer Science, Engineering, Data Science, or a related field. 

Process Skills:

· Understanding of  Agile and Scrum  methodologies.  

· Ability to follow SDLC processes and contribute to technical documentation.  

Behavioral Skills :

· Self-motivated and capable of working independently with minimal management supervision.

· Well-developed design, analytical & problem-solving skills

· Excellent communication and interpersonal skills.  

· Excellent team player, able to work with virtual teams in several time zones.

• Plan & execute user acquisition and engagementcampaigns through paid marketing channels
• Managing budgets and campaigns across all digital channels to drive strong return on investment and efficient CAC
• Thorough understanding and experience on media platformslike Google, Facebook etc.

• Work efficiently with our Creativeand Content teams to build content strategies

• Work closely with Analytics/Data Science team to build right personalized campaigns for different consumer segments.  

• Align with Product team and sales team for funnel improvement and tech related issues.  

• Manage campaign reports with good presentation skills.

• Potential user research, identification and testing new ideas/channels.

Innkey PMS Overview:-

Innkey Infosystems Pvt. Ltd. is a rapidly growing IT company from the hospitality industry offering a Fully Integrated PMS solution on the Cloud for Hotels. We provide best in class products and services to make Hotel’s goals more easier, enabling them to focus on their core business.

Founded in 2011 in Ahmedabad, India, we have a young team of professional from the IT industry. We strive to offer best possible service to our clients, by providing support in critical situations and catering to their insightful requirements. Innkey has more more than 400+ clients across in 11 countries.

visit http://www.innkeypms.net">www.innkeypms.net

Skills Required :-  Dot net Core, MSSQL, Angular

Responsibility:-  Developing the web based software using computer programming languages such as MSSQL, dot net

Creating and maintaining the ASP.NET based websites and their web applications as per the initial guidelines of the client

Making changes to existing web applications according to the feedback received from the end users or clients. In some cases, changes are also made in order to update the application’s compatibility with the latest operating systems.

Understanding the life cycle of software and determining any changes that may be needed as per the observations and feedback of software testing professionals.