HR Executive

About the company

KPMG International Limited, commonly known as KPMG, is one of the largest professional services networks in the world, recognized as one of the "Big Four" accounting firms alongside Deloitte, PricewaterhouseCoopers (PwC), and Ernst & Young (EY). KPMG provides a comprehensive range of professional services primarily focused on three core areas: Audit and Assurance, Tax Services, and Advisory Services. Their Audit and Assurance services include financial statement audits, regulatory audits, and other assurance services. The Tax Services cover various aspects such as corporate tax, indirect tax, international tax, and transfer pricing. Meanwhile, their Advisory Services encompass management consulting, risk consulting, deal advisory, and other related services.

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Job Description

Positions: Chief Compliance Officer (CCO)/ Money Laundering Reporting Officer (MLRO)

Education Qualification: 

1. Degree in finance, accounting, business administration, economics, law, or criminology
2. Certified Anti-Money Laundering Specialist (CAMS), Certified Fraud Examiner (CFE), or Certified Compliance Officer (CCO)

Experience: 12-14 years

Location:  Pan India with potential requirement to travel to the middle east

Employment Type:  contract for 6-12 months (Hybrid)

Responsibilities:

Regulatory Compliance: 

1. Ensure adherence to QFCRA regulations and other applicable laws. Keep policies updated with regulatory changes.
2. Compliance Program: Design and maintain the firm’s compliance program, covering operational, legal, and risk requirements.
3. Risk Management: Conduct risk assessments and develop strategies to mitigate compliance risks.
4. Training: Provide ongoing compliance training to staff and senior management.
5. Reporting & Auditing: Conduct internal audits and report findings to management and regulators.
6. Liaison: Act as the main contact with QFCRA and other regulatory bodies.
7. Incident Management: Investigate compliance breaches and take corrective actions.
8. Provide support for cross border activities including jurisdictions where marketing materials and funds are being distributed

Money Laundering:

1. AML Program: Implement and manage the firm’s Anti-Money Laundering and Anti-Terrorist Financing program.
2. KYC & Monitoring: Oversee KYC and ongoing transaction monitoring, ensuring compliance with AML rules.
3. Suspicious Activity Reporting: Identify and report suspicious transactions 
4. Staff Training: Ensure regular AML/CTF training for employees.
5. Regulatory Liaison: Communicate with QFCRA on all AML/CTF-related matters.
6. Audit & Testing: Conduct regular AML compliance audits and implement corrective measures where necessary.

Requirements:

• 2+ years of experience (4+ for Senior Data Engineer) with system/data integration, development or implementation of enterprise and/or cloud software Engineering degree in Computer Science, Engineering or related field.
• Extensive hands-on experience with data integration/EAI technologies (File, API, Queues, Streams), ETL Tools and building custom data pipelines.
• Demonstrated proficiency with Python, JavaScript and/or Java
• Familiarity with version control/SCM is a must (experience with git is a plus).
• Experience with relational and NoSQL databases (any vendor) Solid understanding of cloud computing concepts.
• Strong organisational and troubleshooting skills with attention to detail.
• Strong analytical ability, judgment and problem-solving techniques Interpersonal and communication skills with the ability to work effectively in a cross functional team.

About Us:

Developed in formal collaboration with the University of Cambridge in May 2000 HeyMath! is an Ed-Tech company whose mission is to Raise the Game in Maths for school systems around the world. We do this using technology to deliver engaging teaching methodologies and personalised learning paths for students. HeyMath! has been successfully adopted by CBSE schools since 2004 with positive outcomes for the entire ecosystem.

Check us out at www.heymath.com

We plan to work mainly from home in 2022 and the virtual office atmosphere is collegiate, informal and friendly, with small high-impact teams making a difference to customers.

What we are looking for:

Have at least one well-performing mobile application project to be shared and/or commercial experience in mobile development

Have knowledge on building beautiful UIs Familiar with networking and third party packages,

Have experience using APIs to integrate mobile applications with server-side systems Have experience with reactive programming or willingness to learn it,

Have basic knowledge about BLoC/Cubit

Have knowledge of Dart,

Familiar with continuous integration tools

Familiar with code version control like git

Familiar with modern software development practices and tools

Job role: 

As a digital marketer, your primary objective will be to facilitate the sales team through lead generation. You’ll be responsible for conceiving, driving, and implementing initiatives to increase brand presence and improve product adoption.

Responsibilities:

• Manage Organic as well as paid channels
• Set targets and build strategies to help achieve them
• Create and test content, blogs, and ads for operational efficiency
• Create and optimize landing pages to increase signups
• Develop and implement campaigns to better lead quality and beat the competition
• Perform data analysis around web traffic and other key metrics
• Monitor KPIs, and set up mechanisms to measure multiple campaigns across many online channels
• Draw meaningful conclusions from campaign data and identify potential opportunities for improvement
• Communicate with team members on campaign developments, timelines, and results

Requirements:

• 4+ years of experience in Digital Marketing or a similar position preferred
• Experience in B2B, eCommerce and SaaS is preferred
• Relevant Bachelor's degree preferred
• Great design sense is a must for this position
• Proven experience building campaign strategies from scratch and executing them
• Basic knowledge of analytics tools and the ability to set up tracking/reporting mechanisms to capture key metrics
• Experience working with data
• Experience working with international markets is preferred

Our client is a disruptive performance marketing agency with a data-driven approach adding impetus to its client's growth. The agency has developed two proprietary tools that enables them to execute large scale marketing campaigns. Atomated media buying, centralized data tracking, business intelligence reports and personalized ads are the major services offered to the clients.

Role and Responsibilities

• Execute data mining projects, training and deploying models over a typical duration of 2 -12 months.
• The ideal candidate should be able to innovate, analyze the customer requirement, develop a solution in the time box of the project plan, execute and deploy the solution.
• Integrate the data mining projects embedded data mining applications in the FogHorn platform (on Docker or Android).

Core Qualifications
Candidates must meet ALL of the following qualifications:

• Have analyzed, trained and deployed at least three data mining models in the past. If the candidate did not directly deploy their own models, they will have worked with others who have put their models into production. The models should have been validated as robust over at least an initial time period.
• Three years of industry work experience, developing data mining models which were deployed and used.
• Programming experience in Python is core using data mining related libraries like Scikit-Learn. Other relevant Python mining libraries include NumPy, SciPy and Pandas.
• Data mining algorithm experience in at least 3 algorithms across: prediction (statistical regression, neural nets, deep learning, decision trees, SVM, ensembles), clustering (k-means, DBSCAN or other) or Bayesian networks

Bonus Qualifications
Any of the following extra qualifications will make a candidate more competitive:

• Soft Skills
  • Sets expectations, develops project plans and meets expectations.
  • Experience adapting technical dialogue to the right level for the audience (i.e. executives) or specific jargon for a given vertical market and job function.
• Technical skills
  • Commonly, candidates have a MS or Ph.D. in Computer Science, Math, Statistics or an engineering technical discipline. BS candidates with experience are considered.
  • Have managed past models in production over their full life cycle until model replacement is needed. Have developed automated model refreshing on newer data. Have developed frameworks for model automation as a prototype for product.
  • Training or experience in Deep Learning, such as TensorFlow, Keras, convolutional neural networks (CNN) or Long Short Term Memory (LSTM) neural network architectures. If you don’t have deep learning experience, we will train you on the job.
  • Shrinking deep learning models, optimizing to speed up execution time of scoring or inference.
  • OpenCV or other image processing tools or libraries
  • Cloud computing: Google Cloud, Amazon AWS or Microsoft Azure. We have integration with Google Cloud and are working on other integrations.
  • Decision trees like XGBoost or Random Forests is helpful.
  • Complex Event Processing (CEP) or other streaming data as a data source for data mining analysis
  • Time series algorithms from ARIMA to LSTM to Digital Signal Processing (DSP).
  • Bayesian Networks (BN), a.k.a. Bayesian Belief Networks (BBN) or Graphical Belief Networks (GBN)
  • Experience with PMML is of interest (see www.DMG.org).
• Vertical experience in Industrial Internet of Things (IoT) applications:
  • Energy: Oil and Gas, Wind Turbines
  • Manufacturing: Motors, chemical processes, tools, automotive
  • Smart Cities: Elevators, cameras on population or cars, power grid
  • Transportation: Cars, truck fleets, trains

About FogHorn Systems
FogHorn is a leading developer of “edge intelligence” software for industrial and commercial IoT application solutions. FogHorn’s Lightning software platform brings the power of advanced analytics and machine learning to the on-premise edge environment enabling a new class of applications for advanced monitoring and diagnostics, machine performance optimization, proactive maintenance and operational intelligence use cases. FogHorn’s technology is ideally suited for OEMs, systems integrators and end customers in manufacturing, power and water, oil and gas, renewable energy, mining, transportation, healthcare, retail, as well as Smart Grid, Smart City, Smart Building and connected vehicle applications.

Press:  https://www.foghorn.io/press-room/">https://www.foghorn.io/press-room/

Awards: https://www.foghorn.io/awards-and-recognition/">https://www.foghorn.io/awards-and-recognition/

• 2019 Edge Computing Company of the Year – Compass Intelligence
• 2019 Internet of Things 50: 10 Coolest Industrial IoT Companies – CRN
• 2018 IoT Planforms Leadership Award & Edge Computing Excellence – IoT Evolution World Magazine
• 2018 10 Hot IoT Startups to Watch – Network World. (Gartner estimated 20 billion connected things in use worldwide by 2020)
• 2018 Winner in Artificial Intelligence and Machine Learning – Globe Awards
• 2018 Ten Edge Computing Vendors to Watch – ZDNet & 451 Research
• 2018 The 10 Most Innovative AI Solution Providers – Insights Success
• 2018 The AI 100 – CB Insights
• 2017 Cool Vendor in IoT Edge Computing – Gartner
• 2017 20 Most Promising AI Service Providers – CIO Review

Our Series A round was for $15 million.  Our Series B round was for $30 million October 2017.  Investors include: Saudi Aramco Energy Ventures, Intel Capital, GE, Dell, Bosch, Honeywell and The Hive.

About the Data Science Solutions team
In 2018, our Data Science Solutions team grew from 4 to 9.  We are growing again from 11. We work on revenue generating projects for clients, such as predictive maintenance, time to failure, manufacturing defects.  About half of our projects have been related to vision recognition or deep learning. We are not only working on consulting projects but developing vertical solution applications that run on our Lightning platform, with embedded data mining.

Our data scientists like our team because:

• We care about “best practices”
• Have a direct impact on the company’s revenue
• Give or receive mentoring as part of the collaborative process
• Questions and challenging the status quo with data is safe
• Intellectual curiosity balanced with humility
• Present papers or projects in our “Thought Leadership” meeting series, to support continuous learning