11+ Compliance Jobs in Kolkata | Compliance Job openings in Kolkata

Job Title : Information Management (IM) Advisor – Data Controller

Job Overview :

The IM Advisor (Data Controller) will serve as the primary liaison between business and IT, ensuring best practices in Information Management (IM) solutions, compliance, and data governance.

This role involves designing and delivering IM solutions, ensuring compliance with IM standards, and driving awareness within the organization.

Key Responsibilities :

• Act as the first point of contact for Information Management, advising business teams on best practices and compliance.
• Implement and maintain control systems, procedures, and data validation processes for engineering data warehouses (EDW).
• Collaborate with contractors to ensure data consistency, validation, and integration into central repositories.
• Drive compliance with IM standards, data privacy regulations, and other legal requirements.
• Monitor and improve IM processes, ensuring efficient data handover and control mechanisms.
• Develop and manage data control procedures for projects, ensuring seamless transition to operations.
• Provide IM training to end users and manage offshore data support services.

Key Skills & Qualifications :

• Experience : 3-10 Years in data control on major capital projects, with EPC interface management.
• Technical Expertise :
• Engineering databases, SharePoint, and document management systems.
• Experience with Engineering Data Warehouses (SPF, AVEVA, AIM, ALIM).
• Reporting tools (Power BI, Tableau).
• Knowledge of engineering IM scope, data modeling, and maintenance processes.
• Compliance & Governance : Knowledge of GDPR, security, privacy, and IM best practices.
• Leadership & Communication : Strong interpersonal skills, global stakeholder engagement, and ability to manage multiple projects.
• Technology Awareness : Familiarity with RPA, AI, Blockchain, and machine learning in IM processes.

Preferred Qualifications:

• Previous experience with Shell or similar organizations.
• Knowledge of Agile methodologies and Continuous Improvement practices.

Data - AI / ML Engineer 

Full-Time   |   On-site, Kolkata   |   Immediate Joining   |   4+ years experience

ABOUT US 

Company Name: Freeflow ventures

We are a venture building and investment firm focused on emerging markets across India, the Middle East, and Africa. We work with early-stage startups -diagnosing gaps, structuring interventions, and preparing them for investor-readiness through a proprietary data and intelligence platform.

Our platform combines automated data verification, startup scoring, and structured workflow automation to bring consistency and credibility to early-stage investment decisions. We are at an active build and expansion phase, and this role sits at the core of that infrastructure.

ROLE OVERVIEW

We are looking for a Data - AI / ML Engineer who can own both the data pipelines that bring verified information into our platform and the intelligence models that turn that information into reliable startup scores.

This is a dual-responsibility role. You will be expected to build and maintain robust data infrastructure as well as develop, calibrate, and improve machine learning models. Both are equally important to the platform.

You will work closely with the Platform Owner and alongside a Backend Engineer who owns system integrations and workflow logic. Your work produces the scored intelligence output. The Backend Engineer's work connects that output to platform actions. The two roles are tightly interdependent and require close daily collaboration, especially in the first 30 days.

Note: You are the first technical hire on the platform team. The Backend Engineer joins the same week. Clear communication, well-defined handoff points, and shared documentation between the two of you are non-negotiable from Day 1.

WHAT YOU WILL DO

Data Pipeline

• Build and maintain pipelines that collect, clean, and normalize data from multiple external sources into a consistent, usable format
• Design connector architecture that allows individual data sources to be added, swapped, or removed without rebuilding the entire pipeline
• Implement automated data quality checks that catch bad data before it reaches the scoring layer -anomaly detection, constraint enforcement, and schema validation
• Build an automated eligibility screening system that verifies whether a startup has sufficient verified data before assessment begins
• Ensure the pipeline is resilient -critical data signals must have backup sources so a single vendor failure does not disrupt platform output
• Structure data storage to support different regulatory requirements across multiple countries -data from different regions must be handled according to the rules of that region

AI and Machine Learning

• Audit the existing scoring engine before making any changes -understand what it does, how it was built, and what would be lost if it were modified
• Calibrate scoring models against real portfolio data so that scores are meaningful, consistent, and comparable across different startup types and stages
• Build confidence scoring logic that determines when the system is certain enough to act autonomously and when it should route to human review
• Ensure every model output is explainable -investors must be able to see exactly which data points drove a score, not just the final number
• Build a feedback loop so that real-world outcomes feed back into the model over time, making it progressively more accurate
• Maintain a structured data store of assessment outputs and outcomes that the model uses to improve

Working With the Backend Engineer

• Define a clear data contract at the handoff point -what data you produce, in what format, and what the Backend Engineer can expect to receive
• Collaborate on trigger logic -what score thresholds or confidence drops should fire what system actions
• Align on data schema requirements so that the APIs the Backend Engineer builds conform to the structure your pipeline produces
• Communicate blockers early -the pipeline and backend system are built simultaneously, so delays on one side directly affect the other
• Document everything you build so the Backend Engineer and Platform Owner can understand, debug, and extend it without depending on you for every question

WHAT WE ARE LOOKING FOR

Skills are divided into two categories. Must Have means the role cannot function without it. Good to Have means it gives you an edge.

Skill

Priority

Data Engineering

Building and maintaining data pipelines from multiple sources

Must Have

Data normalization and schema design

Must Have

Automated data quality validation

Must Have

API integration across different source types

Must Have

Pipeline orchestration and scheduling

Must Have

Cloud infrastructure -storage, compute, and deployment

Must Have

Version control and code documentation

Must Have

AI and Machine Learning

Building and calibrating supervised machine learning models

Must Have

Model explainability -making model outputs traceable and interpretable

Must Have

Confidence scoring and threshold calibration

Must Have

Experiment tracking and model versioning

Must Have

Building feedback loops that improve models over time using real-world outcomes

Must Have

Natural language processing or document understanding

Good to Have

Vector databases and semantic search

Good to Have

Collaboration and Context

Ability to define clear data contracts and handoff points with backend engineers

Must Have

Clear written documentation of pipeline logic, model decisions, and failure modes

Must Have

Prior experience working in or with early-stage startups

Good to Have

Exposure to financial data, investment platforms, or data verification systems

Good to Have

WHAT WE OFFER

• Competitive compensation based on experience -discussed during the interview process
• Ownership of both the data and intelligence layers from Day 1 -this is not a support or maintenance role
• Direct access to the Platform Owner and Founder 
• Close collaboration with a Backend Engineer from Day 1 -the two roles are designed to work as a unit
• Work on a genuinely novel problem in an emerging market context
• On-site Kolkata with a small, high-accountability team
• Opportunity to scale the platform across multiple international markets

Hiring Now: International Voice Process (Entry-Level – Night Shift) 🌙

📍 Location: Kolkata (Work from Office)

🕐 Shift: Night Shift | 5 Days a Week

💼 Role: International Voice Process (Inbound)

👥 Open to: Freshers & Experienced Professionals (0–4 years)

💡 What We're Looking For:

Excellent communication skills in English

Willingness to work night shifts

Positive attitude and eagerness to learn!

💸 Salary & Incentives:

Experienced: Up to ₹35,000/month(negotiable)

Incentives: Up to ₹6 Lakhs based on performance

Daily Incentives!

🎁 Perks & Benefits:

Salary credited on the 1st of every month

Unlimited monthly incentives

24 paid leaves + 15 Comp Offs

Birthday Leave (or double pay if you choose to work)

Fast-track career growth opportunities

📞 Ready to Apply? Contact us today!

📱 Call/WhatsApp: eight zero one six zero nine nine seven eight eight

About Company

Our Client is a well known group that achieves a turn over of 3000 Cr per annum. The group is setting a construction & architecture oriented omni channel B2B & B2C platform.

Roles and Responsibilities

1. HR Strategies: Create, develop, and implement strategies aligned with business strategy for the organisation.
2. Policies, Processes, Initiatives & Schemes: Translate the HR Strategies into policies, processes, initiatives & schemes with a view to promote a culture of enthusiasm, productivity and profitability.
3. Offer, Joining, On-Boarding, Induction & Deployment: Ensure a culture of engaged & welcoming approach in this sphere ensuring minimal or nil dropouts after offer. A Wow experience for a selected talent to be ensured at all times.
4. Organisation Development / Talent Management: Ensure constant research within the organisation, in the industry and the market of evolving trends thereby reengineering the strategy, philosophy, policies & processes accordingly.
5. Talent Engagement: Conduct periodic surveys to get the pulse of the people in the organisation; town halls, group meeting, one-on-one sessions to assimilate the concerns as well as suggestions from people and take actions in accordance to the same ensuring a culture of enthusiasm, productivity and profitability.
6. Performance Management:Adopt a futuristic & objective performance management process to identify, recognize and reward accordingly.
7. Training & Development:Training & Development Strategy to focus upon functional proficiency enrichment, competencies & behavioral development, enhancing effectiveness and succession planning.
8. Industrial Relations:Maintain a proactive IR climate in the organisation key for it being relationship management and expeditious resolutions.
9. HRMS: Setting up & stream lining HRMS.

Desired Candidate Profile

1. Degree in Human Resources from an institution of repute.
2. 10+ years of proven working experience as HR Manager.
3. People oriented and results driven.
4. Demonstrable experience with human resources metrices.
5. Knowledge of HR systems and databases.
6. Ability to architect strategy along with leadership skills.
7. Excellent active listening, negotiation and presentation skills.
8. Competence to build and effectively manage interpersonal relationships at all levels of the organization.
9. Develop best practices in HR.

Oversee the sales process to attract new clients.

Work with senior team members to identify and manage risks.

Maintain fruitful relationships with clients and address their needs effectively.

Prepare and deliver pitches to potential investors.

Foster a collaborative environment within the organization.

Transfer call to the supervisor after initial explanation.

SKILLS:

Excellent spoken English.

Both Graduate/Undergraduate may apply.

Ability to develop good relationships with current and potential clients.

Excellent communication skills.

Knowledge of productivity tools and software.

Ready to work in Nightshift.

Skills Required :

-Bachelor or Masters degree in Accounting

-Recent accounting experience with E-Commerce Industry

-Excellent analytical, oral, and written communication skills are required

-Concern for high-quality deliverables and deadlines

-Advanced Microsoft Excel skills

-Ability to work independently as well as in a team setting.

-Having experience in accounting, GST Return filing, TDS, Income Tax return filing, finalization of Accounts, Balance Sheet Preparation, Handling multiple clients data, etc.

Recent accounting experience with E-Commerce Industry

Advanced Microsoft Excel skills

Age: 25 – 30 yrs.

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