Senior Product Manager

Greetings,
We are hiring for Tier 1 MNC for the software developer with good knowledge in Spark,Hadoop and Scala

Hands on experience on teh architecture platform, designing and documenting the wireless hardware platform.
Exp. with cellular & base station HW/Baseband system and board level system design.

Hiring for the Profile of Seniors developer Associate/Executive for Product Based Company

Work location - Permanent WFH

Experience:-

SDE (Senior Developer Executive)
Experience- 1- 3Yrs

Budget :- 32 LPA Fixed

SDA (Senior developer Associate)

Experience:- 55 LPA Fixed

Skills Required- Java ,Data Structures, Algorithms, Coding, design Patterns, Multithreading.


Candidate from Product Based Background is Preferred.

 

Job Description: (Mandate Skills)

 

• Exceptional architecture and design skills using Object Oriented Programming concepts and Design patterns
• Strong problem solving and analytical skills
• Hands on Java Engineer, with experience building consumer facing or enterprise applications using Java stack
• Ability to manage small teams (2-4 members) using agile development process

 

 

Do You Know? (Skills good to have)

 

• Exposure to building service oriented distributed systems
• In building systems that process big data in a distributed environment, either in real time streaming or offline
• In messaging systems like Kafka, RabbitMQ, kinesis, etc.
• In real time computation tools like Storm / Spark or Hadoop based tools.
• In Data warehousing technologies like Redshift, BigQuery, etc.

Roles and Responsibilities

 Perform daily reconciliation of accounts between Geneva and Custodian/Prime Broker.
 Monthly investigation on Reconciliation discrepancies and verify all the transactions (Independently
complete cash, portfolio and capital reconciliations and investigate and resolve any discrepancy).
 Prepare monthly financial reporting package for Hedge Funds, including the determination of "Net
Asset Value" and
 prepare the Statement of Asset and Liabilities and Profit and Loss Statement
 Ensure Fund income and expenses, including management and performance fees, are accrued for and
are in accordance with relevant accounting standards (Calculation of Incentive Fee and Management
Fee).
 Accurate and timely processing of all capital activities including subscriptions, redemptions,
transfers, rollups, capital commitments and calls.
 Derive pricing for portfolio investments. Updating status reports.
 Cash Management-managing the daily cash flow of trades and monitoring fund cash-flows.
 Process incoming and outgoing cash movements related to capital activity.
 Creation and maintenance of investor information including payment models and contacts.
 Preparation of Investor and Client reports including Audit confirmations, Trade confirmations etc.
 Communicate the transactions associated with the fund(s) and work closely with internal and external
clients to provide accurate and thorough accounting packages.
 Correspond with external investment managers regarding day-to-day fund inquiries including entering
security trades, fee, payments, cash position breaks, and reconciliations. Client engagement and a
dedication to quality service is a must for success.

Requirements for this role include:

 University degree or equivalent that required 3+ years of formal studies of Finance/Accounting
principles
 2+ year(s) of accounting experience for financial instruments (equities, fixed income, and derivatives),
operation of capital
 markets, and life cycle of trades. Well versed with all financial instruments
 Complete procedural knowledge of fund accounting is a must. Trade Booking, Cash reporting,
Exception analysing, reconciliation of assets and cash, Post pricing issues etc.
 2+ year(s) of data entry experience that required a focus on quality including attention to detail,
accuracy, and
 accountability for your work product.
 2+ year(s) of experience using MS-Excel that required you to use Formulas, Tables & Formatting,
Conditional Formatting,
 Charting, Pivot tables & Pivot Reporting.
 2+ year(s) of experience in a service-oriented role where you had to correspond in writing or over the
phone with external
 customers.
 Ability to work regularly scheduled shifts from Monday-Friday.

Desired qualities:

 A drive to broaden one’s knowledge of the financial services industry by learning new concepts and
systems and taking the
 initiative to apply it to daily work assignments.
 Attention-to-detail to ensure that all deliverables consistently meet the highest standard of quality
and accuracy.
 Positivity and collegial approach in assisting both colleagues and clients and the ability to work in
team environment.
 Curiosity, critical thinking and attention to detail: Whether it’s to identify a solution to a problem or
possibly help
 implement a more efficient process or procedure, your skills have a place in our business.

Qualifications & Skills 
• Bachelor or Master Degree in Computer Science from a reputed University
• 3 to 5 years of experience working in eCommerce domain, specifically at-least 2 to 4
years of experience working in Django and Python.
• React and/or Angular for front end
• Proficiency in MongoDB and MySql
• Technical Skills: JIRA, Gitlab, Rest API, GCP or AWS
• Experience in performance profiling, tuning, and optimization, caching mechanisms with
Enterprise level applicants
• Experience in writing unit testing and test case automation.
• Ability to operate in Agile environment with a start-up mentality and unstructured
environment, Energy, drive and passion to work, and operate in a digital world.

Design and development of the Supply chain applications for the retail customers, making use of the open source technologies.
It can be taking our own product and customizing as per the customer requirements or developing applications from the scratch.

We are building the AI core for a Legal Workflow solution. You will be expected to build and train models to extract relevant information from contracts and other legal documents. Required Skills/Experience: - Python - Basics of Deep Learning - Experience with one ML framework (like TensorFlow, Keras, Caffee) Preferred Skills/Expereince: - Exposure to ML concepts like LSTM, RNN and Conv Nets - Experience with NLP and Stanford POS tagger