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Treasury Accounting Manager

Job Location: Mumbai, Pune

Experience: 3-8 yrs relevant experience

Job Type: FTE

Job Description:

Mandatory Skills:

    IFRS, US GAAP/ UK GAAP,Treasury

Good to Have Skills:

    Foreign Exchange , hedge Accounting

Role Objective :-

Support day-to-day Treasury operations to ensure accurate, timely cash positioning, liquidity forecasting, payment governance, and treasury accounting. Partner with Group Finance, Business Units, and Banks to execute processes that safeguard cash, optimize liquidity, and maintain strong control compliance.

Experience:

3-8 years in Corporate Treasury / Banking operations / Finance

Knowledge of current regulations including IFRS 9, UK GAAP and Companies Acts.

Excellent knowledge of SAP & payment platforms; Cash pooling; FX concepts

Strong financial, analytical, communication and project management skills

Roles & Responsibilities:

Work with the Business and execute the following responsibilities:

• Prepare daily cash position; reconcile prior day balances; track cash movements and variances
• Review of the FX Valuation Analysis
• Review of the interest calculation in IT2
• Update short term liquidity forecast; validate assumptions with BU Finance
• Compile payment runs; perform maker checks; ensure dual approvals per policy; monitor cut off adherence
• Ensure compliance with IFRS 9 and other relevant accounting standards in all treasury transactions, including recognition, measurement, and disclosure of financial instruments.
• Support accounting and reporting for PPN, RCF, swaps, hedges, and other derivative instruments, ensuring accurate valuation, documentation, and compliance with hedge accounting policies
• Maintain payment mandates, signatory lists and bank account master data with strict change control
• Coordinate bank fee analysis; escalate exceptions; assist in KYC/mandate amendments
• Support intercompany cash pooling sweeps; track notional/physical pool mechanics
• Capture simple FX deals/rollovers under guidance; record settlements; prepare deal summaries
• Support intercompany funding requests and interest calculations
• Post month end entries (interest accruals, bank charges, cash pool interest); reconcile treasury GLs to bank statements and sub ledgers; resolve breaks with Bank Rec
• Operate key controls (makerchecker, access reviews, limit checks); maintain evidence packs in line with Group Standards/RACM/SOP; prepare audit support files
• Document SOPs; suggest automation (Power Query/SAP integration); contribute to MI dashboards (cash variances, forecast accuracy)

Key Result Areas

• Effectively communicate financial performance and impact to operational colleagues
• Proactive/attention to detail and good analytical skills
• Ability to work unsupervised and deliver high quality work within tight deadlines Good influencing and persuading skills

Job Title : Senior SAP PPDS Consultant

Experience : 6+ Years

Location : Open to USI locations (Hyderabad / Bangalore / Mumbai / Pune / Chennai / Gurgaon)

Job Type : Full-Time

Start Date : Immediate Joiners Preferred

Job Description :

We are urgently seeking a Senior SAP PPDS (Production Planning and Detailed Scheduling) Consultant with strong implementation experience.

The ideal candidate will be responsible for leading and supporting end-to-end project delivery for SAP PPDS, contributing to solution design, configuration, testing, and deployment in both Greenfield and Brownfield environments.

Mandatory Skills : SAP PPDS, CIF Integration, Heuristics, Pegging Strategies, Production Scheduling, S/4 HANA or ECC, Greenfield/Brownfield Implementation.

Key Responsibilities :

• Lead the implementation of SAP PPDS modules including system configuration and integration with SAP ECC/S4 HANA.
• Collaborate with stakeholders to gather requirements and define functional specifications.
• Design, configure, and test SAP PPDS solutions to meet business needs.
• Provide support for system upgrades, patches, and enhancements.
• Participate in workshops, training sessions, and knowledge transfers.
• Troubleshoot and resolve issues during implementation and post-go-live.
• Ensure documentation of functional specifications, configuration, and user manuals.

Required Skills :

• Minimum 6+ Years of SAP PPDS experience.
• At least 1-2 Greenfield or Brownfield implementation projects.
• Strong understanding of supply chain planning and production scheduling.
• Hands-on experience in CIF integration, heuristics, optimization, and pegging strategies.
• Excellent communication and client interaction skills.

Preferred Qualifications :

• Experience in S/4 HANA environment.
• SAP PPDS Certification is a plus.
• Experience working in large-scale global projects.

IT Person – Job Requirements (Restaurant Industry)

1. Technical Skills

POS system setup, troubleshooting, and daily support

Knowledge of billing printers, KOT printers, LAN/WiFi setup

Basic networking (router, switch, IP configuration)

CCTV installation & monitoring

System formatting, software installation, antivirus

Knowledge of cloud backup, email setup (Outlook/Gmail)

Handling biometric attendance machines

Experience with ERP/FnB software (if any)

Basic hardware repairing (CPU, cables, RAM, HDD issues)

2. Restaurant-Specific Skills

Understanding of POS menus, modifiers, kitchen display systems

Printer paper roll change, printer alignment, POS connectivity

Troubleshooting online order integrations (Zomato/Swiggy/Dunzo)

Wi-Fi network stability for restaurant operations

Support during audit days, billing issues, shift closing reports

3. Soft Skills

Quick problem-solving

Good communication

Ability to visit outlets when needed

Ready to work on weekends if urgent issues

Responsible and reliable

4. Experience

1–3 years experience in IT support

Restaurant or retail industry experience preferred

5. Education

Diploma or Degree in IT/Computer Science

Or relevant certification (CCNA, hardware networking, etc.)

This role is responsible for designing scalable, user-friendly

solutions using native Salesforce capabilities, reducing custom technical debt, and enabling a

unified associate experience across resident services and call center teams.

Key Responsibilities:

● Own the end-to-end migration strategy from Classic to Lightning.

● Redesign data model (replace custom objects with standard Lead/Opportunity where

applicable).

● Configure Lightning features: Dynamic Forms, Lightning Pages, Flows, Omni-Channel.

● Recommend and implement AppExchange solutions where needed.

● Collaborate with developers, admins, and QA to deliver incremental releases.

● Ensure compliance with security, profiles, and permission sets.

● Act as the trusted advisor to stakeholders for Salesforce roadmap planning.

Qualifications:

● 6+ years Salesforce experience, with at least 3+ in Lightning implementations.

● Expertise in Service Cloud, Marketing Cloud, case management, and digital engagement.

● Proven experience with Classic-to-Lightning migration projects.

● Strong understanding of low-code/no-code capabilities (Flows, Dynamic Actions).

● Salesforce Certified Application/Solution Architect (preferred).

● Excellent communication and stakeholder management skills.

1. Data Engineer

 Required skill set: AWS GLUE, AWS LAMBDA, AWS SNS/SQS, AWS ATHENA, SPARK, SNOWFLAKE, PYTHON

Mandatory Requirements  

• Experience in AWS Glue
• Experience in Apache Parquet 
• Proficient in AWS S3 and data lake 
• Knowledge of Snowflake
• Understanding of file-based ingestion best practices.
• Scripting language - Python & pyspark 

CORE RESPONSIBILITIES 

• Create and manage cloud resources in AWS 
• Data ingestion from different data sources which exposes data using different technologies, such as: RDBMS, REST HTTP API, flat files, Streams, and Time series data based on various proprietary systems. Implement data ingestion and processing with the help of Big Data technologies 
• Data processing/transformation using various technologies such as Spark and Cloud Services. You will need to understand your part of business logic and implement it using the language supported by the base data platform 
• Develop automated data quality check to make sure right data enters the platform and verifying the results of the calculations 
• Develop an infrastructure to collect, transform, combine and publish/distribute customer data.
• Define process improvement opportunities to optimize data collection, insights and displays.
• Ensure data and results are accessible, scalable, efficient, accurate, complete and flexible 
• Identify and interpret trends and patterns from complex data sets 
• Construct a framework utilizing data visualization tools and techniques to present consolidated analytical and actionable results to relevant stakeholders. 
• Key participant in regular Scrum ceremonies with the agile teams  
• Proficient at developing queries, writing reports and presenting findings 
• Mentor junior members and bring best industry practices 

 QUALIFICATIONS 

• 5-7+ years’ experience as data engineer in consumer finance or equivalent industry (consumer loans, collections, servicing, optional product, and insurance sales) 
• Strong background in math, statistics, computer science, data science or related discipline
• Advanced knowledge one of language: Java, Scala, Python, C# 
• Production experience with: HDFS, YARN, Hive, Spark, Kafka, Oozie / Airflow, Amazon Web Services (AWS), Docker / Kubernetes, Snowflake  
• Proficient with
• Data mining/programming tools (e.g. SAS, SQL, R, Python)
• Database technologies (e.g. PostgreSQL, Redshift, Snowflake. and Greenplum)
• Data visualization (e.g. Tableau, Looker, MicroStrategy)
• Comfortable learning about and deploying new technologies and tools. 
• Organizational skills and the ability to handle multiple projects and priorities simultaneously and meet established deadlines. 
• Good written and oral communication skills and ability to present results to non-technical audiences 
• Knowledge of business intelligence and analytical tools, technologies and techniques.

Familiarity and experience in the following is a plus:  

• AWS certification
• Spark Streaming 
• Kafka Streaming / Kafka Connect 
• ELK Stack 
• Cassandra / MongoDB 
• CI/CD: Jenkins, GitLab, Jira, Confluence other related tools

Roles & Responsibilities:

Marathi Language is a Must

• Counsel potential Students over a call to inform them about a product and help them in making better career decisions.
• Answer questions about our products or the company.
• Sale as per requirement from the students.
• Direct prospects to the field sales team when needed.
• Maintain Sales reports and update the CRM from time to time.
• Take and process orders in an accurate manner.
• Go the extra mile to meet sales quota and facilitate future sales.
• Keep records of calls and sales and note useful information.

Skills & Requirements:

• 6 months - 2 years of work experience in sales/business development/voice process.
• Excellent interpersonal and communication skills.
• Strong negotiation skills with a proven ability to seek, create, negotiate, and close a deal.
• Solution-oriented with effective problem-solving skills.
• Customer-Centric Approach.
• Positive attitude and Willingness to learn and excel.
•  

Design, develop and support real time data monitoring application and a dashboard for a VoIP network

Roles and Responsibilities:

• Design, build and maintain efficient, reusable, and reliable Ruby code
• Ensure the best possible performance, quality, and responsiveness of the applications
• Identify bottlenecks and bugs, and devise solutions to these problems

Required Skills:

• 3+ yrs of experience developing Ruby applications on Linux platform with exposure to HTML, CSS and javascripts
• Solid understanding of object-oriented programming
• Experience with any one NoSQL solution like Redis, MongoDB, CouchDB is a must
• Deep understanding of high traffic, highly scalable, complex web applications
• Ability to work in a dev-automation environment with some source control, continuous integration/delivery systems
• Good problem solving/analytical skills
• Excellent written and verbal communication

Preferred Skills:

• Conversant with Elasticsearch, Neo4j and D3.js
• Inclination to GO programming
• Experience working with open source projects

This Noida based startup is disrupting the F&B industry by helping eateries increase their profit margin and saving time on labour.

Our client is a software-as-a-service(SaaS) startup that connects restaurants and suppliers by digitising the procurement process. It enables eateries to understand purchasing trends, auto-create purchase orders, anticipate stock out dates, set low-stock alerts, among others. The team also provides training to restaurant members on effectively using the solution. Founded by IIT Kanpur graduates, this new age venture already has more than 1,500 outlets registered on its platform and has helped restaurants reduce their operational costs by 8-10%. It also generates monthly transactions worth $1.3 million.

• Acquiring new clients by pitching the company’s products/services via phone calls as well as in-person meeting.
• Demonstrating and presenting the company’s product (SAAS) to the clients.
• Following up on the generated leads to convert them into potential business for the company.
• Updating and maintaining data on a real-time basis for sales pipeline on CRM.
• Building and maintaining professional relationship with new potential clients and existing clients.
• Frequent travelling (local & outstation) to meet customers, go-to-market plans
• Tracking competition and building strategies to keep competitive edge.

Desired Candidate Profile

• 2-5 years of B2B SAAS sales experience
• Proven ability to achieve targets
• Strong in building rapport with customers
• Excellent communication and negotiation skills
• Open for Frequent travelling (local & outstation)    
• Good expertise in regional language
• Minimum 1 year experience in selling POS Billing Software that connects restaurants and suppliers    

Novolytics is a novel Analytics Company which is trying to solve the problems of manufactures and machine asset owners. Predictive maintenance is going to be a huge part of Factory 2.0, which will allow manufacturers to keep machine downtime to minimum, boosting productivity and reducing losses due to down time. 

Novolytics is building a platform which would collect signal data, analyze and predict which machines need maintenance or are showing signs of wear. Currently our platform is being piloted for one of India's largest car manufacturers, to solve for vehicle maintenance and servicing based on car sounds.

Responsibilities:

• Work with development teams and stakeholders to create Full stack web applications
• Design client-side and server-side architecture for scale
• Design and manage the data models on various storage systems including databases, data warehouse and cloud object storage systems 
• Troubleshoot, debug and manage the applications using logging and dashboarding tools.
• Create security and data protection standards to ensure data security and integrity
• Work with the management and data to improve software

Qualifications:

• BE/BTech in Computer Science with at least 2 years of experience.
• Experience with Javascript stack, NodeJS (with Express JS) for backend and ReactJS for frontend
• Understanding and ability to create Restful APIs
• Experience with Database development (MySQL, Postgres, etc) including schema design and query optimization. 
• Knowledge of multiple front-end languages and libraries (e.g. HTML/ CSS, JavaScript, jQuery)
• Experience of mobile app development on Flutter is a plus 
• Knowledge of data structures & algorithms and should know when to use them.
• Familiarity with Web Servers (e.g. Apache) and networking among servers.   
• Experience with AWS or other cloud environments is an advantage.
• Understanding of design patterns and unit testing

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