Sales Manager

Key Responsibilities:

Conduct internal audits for PCI DSS, ISO 27001/9001, SOC 2, GDPR, HIPAA

Plan & manage audit schedules

Evaluate systems, processes & controls

Prepare audit reports & maintain documentation

Collaborate with IT, Security, Legal & Ops on remediation

Provide compliance training & support

Liaise with external auditors & ensure audit readiness

Improve audit tools & stay updated on compliance changes

Skills & Qualifications:

Strong knowledge of PCI DSS, ISO standards, SOC 2

Familiar with audit tools, risk assessments & IT basics

2–5 years in audit/compliance roles

Experience with internal & external audits

Excellent analytical & communication skills

Preferred Certifications (Optional):

CISA | CISM | ISO 27001 Lead Auditor | CRISC

Why Join Us?

Supportive, collaborative environment

Growth opportunities & certifications

Work on high-impact compliance projects.

As a C++ developer working in front office electronic trading, your role involves developing and maintaining software solutions for trading systems used in financial markets. Here are some key aspects of your responsibilities:

C++ Programming: Mastery of the C++ programming language is essential, as most trading systems are built using C++ due to its performance and efficiency.

Electronic Trading Systems: You'll work with electronic trading systems that execute trades automatically based on predefined algorithms or user instructions. Understanding order execution, order management, and market data processing is crucial.

Multithreading: Multithreading is vital in electronic trading systems to handle concurrent tasks efficiently. You'll need to design, implement, and debug multithreaded applications to ensure optimal performance and reliability.

Low-Latency Systems: Electronic trading often requires low-latency systems to execute trades swiftly. You'll optimize code and algorithms to minimize latency and ensure timely order execution.

Algorithmic Trading: Knowledge of algorithmic trading strategies and implementing them in software is advantageous. This includes understanding mathematical models, statistical analysis, and risk management.

Networking: Understanding network protocols and communication is necessary for connecting trading systems to exchanges, brokers, and other financial institutions. This involves working with TCP/IP, UDP, and messaging protocols like FIX (Financial Information Exchange).

Risk Management: You'll implement risk controls and safeguards in trading systems to prevent erroneous trades or mitigate risks associated with market volatility.

Testing and Debugging: Thorough testing and debugging are crucial to ensure the reliability and stability of trading systems. You'll write automated tests, perform manual testing, and debug issues to maintain system integrity.

Performance Optimization: Continuously optimizing the performance of trading systems is essential to handle increasing trading volumes and maintain competitiveness. This involves profiling code, identifying bottlenecks, and applying optimizations.

Regulatory Compliance: Adhering to regulatory requirements and standards in the financial industry is critical. You'll ensure that trading systems comply with regulations such as MiFID II, Dodd-Frank, and others applicable to electronic trading.

Collaboration: Working closely with traders, quants, risk managers, and other stakeholders to understand requirements and implement solutions that meet business needs.

Documentation: Maintaining clear and comprehensive documentation for code, algorithms, and system architecture is important for knowledge sharing and compliance purposes.

Overall, being a C++ developer in front office electronic trading requires a strong technical foundation, attention to detail, and the ability to work effectively in a fast-paced and demanding environment.

1. Achieving Enrolment targets (End to End sales)
2. Lead generation through cold calling
3. Identifying suspects and prospects.
4. Meeting & Counselling prospective students (mostly working executives in various industries)

Location: Mumbai (Dadar, Thane and Rabale)

Experience: 0-4 Years Inside Sales (Ed Tech is a plus)

• 2+ years of experience in using Java/J2EE tech stacks
• Good understanding of data structures and algorithms.
• Excellent analytical and problem solving skills.
• Ability to work in a fast paced internet start-up environment.
• Experience in technical mentorship/coaching is highly desirable.
• Understanding of AI/ML algorithms is a plus.

Job Description:

We are looking for a highly capable Node.js developerto optimize our web-based application performance. Collaborating with our front-end application developers, designing back-end components, and integrating data storage and protection solutions.

Full Stack Responsibilities:  Developing and maintaining allserver-side network components.  Ensuring optimal performance of the central database and responsivenessto front-end requests.  Collaborating with front-end developers on the integration of elements.  Designing customer-facing UI and back-end servicesfor various business processes.  Developing high-performance applications by writing testable,reusable, and efficient code.  Implementing effective security protocols, data protection measures, and storage solutions.  Running diagnostic tests,repairing defects, and providing technicalsupport.  Documenting Node.js processes, including database schemas, as well as preparing reports.  Recommending and implementing improvementsto processes and technologies.  Keeping informed of advancementsin the field of Node.js development.

Requirements:  Bachelor's degree in computerscience, information science, orsimilar.  At least two years of experience as aNode.js developer.  Extensive knowledge of JavaScript, web stacks, libraries, and frameworks.  Knowledge of front-end technologiessuch as HTML5 and CSS3, Angular, Reactjs.  Superb interpersonal, communication, and collaboration skills.  Exceptional analytical and problem-solving aptitude.  Availability to resolve urgent web application issues outside of business hours

Experience: 2 to 5 years

Annual CTC: Rupees 6,00,000 to 10,00,000

• Developing and maintaining all server-side network components.
• Ensuring optimal performance of the central database and responsiveness to front-end requests.
• Collaborating with front-end developers on the integration of elements.
• Designing customer-facing UI and back-end services for various business processes.
• Developing high-performance applications by writing testable, reusable, and efficient code.
• Implementing effective security protocols, data protection measures, and storage solutions.
• Running diagnostic tests, repairing defects, and providing technical support.
• Documenting Node.js processes, including database schemas, as well as preparing reports.
• Recommending and implementing improvements to processes and technologies.
• Keeping informed of advancements in the field of Node.js development.

Our client acts as an all-in-one OKR platform that focuses on aligning the client’s strategic priorities, projects and goals and thus to drive exceptional results & culture, without changing the team's behaviours. Some of their products include OKR software, performance reviews, engagement insights, 1:1 meetings, CoffeeConnect etc. They have served 500+ companies from 60+ countries. Some of their clients are Dunzo, Plum, Udaan, KhataBook etc.

Headquartered in San Francisco, California, our client was founded in 2018 by well-experienced entrepreneurs, one of whom is an IIT-Delhi graduate and the other is a NIT, Trichy graduate.

What you will do:

• Understanding: Empathetically understanding client’s needs and problems. Being agood listener and imbibing with those problem statements
• Solution: Solving client’s problem through Company’s SaaS solutions and demonstrating Company’s products using a consultative approach
• Closing: Exceeding monthly/quarterly sales targets in the given market
• Process Orientation: Meeting the sales process standards and effectively using sales tools like HubSpot CRM
• Pipeline Management: Managing end to end sales pipeline for the company to deliver spectacular growth through precise forecasting
• Relationship Management: Being face of Company before the client. Being a trusted advisor for the clients.

Desired Candidate Profile

We are a nascent quantitative hedge fund led by an MIT PhD and Math Olympiad medallist, offering opportunities to grow with us as we build out the team. Our fund has  world class investors and big data experts as part of the GP,  top-notch ML experts as advisers to the fund, plus has equity funding to grow the team, license data and scale the data processing.

We are interested in researching and taking in live a variety of quantitative strategies based on historic and live market data, alternative datasets, social media data (both audio and video) and stock fundamental data.

You would join, and, if qualified, lead a growing team of data scientists and researchers, and be responsible for a complete lifecycle of quantitative strategy implementation and trading.

Requirements:

• Atleast 3 years of relevant ML experience
• Graduation date : 2018 and earlier
•   3-5 years of experience in high level Python programming.
• Master Degree (or Phd) in quantitative disciplines such as Statistics, Mathematics, Physics, Computer Science in top universities.
•   Good knowledge of applied and theoretical statistics, linear algebra and machine learning techniques. 
•   Ability to leverage financial and statistical insights to research, explore and harness a large collection of quantitative strategies and financial datasets in order to build strong predictive models.
• Should take ownership for the research, design, development and implementation of the strategy development and effectively communicate with other team mates
•   Prior experience and good knowledge of lifecycle and pitfalls of algorithmic strategy development and modelling. 
•   Good practical knowledge in understanding financial statements, value investing, portfolio and risk management techniques.
•   A proven ability to lead and drive innovation to solve challenges and road blocks in project completion.
• A valid Github profile with some activity in it

Bonus to have:

•   Experience in storing and retrieving data from large and complex time series databases
•   Very good practical knowledge on time-series modelling and forecasting (ARIMA, ARCH and Stochastic modelling)
•   Prior experience in optimizing and back testing quantitative strategies, doing return and risk attribution, feature/factor evaluation. 
•   Knowledge of AWS/Cloud ecosystem is an added plus (EC2s, Lambda, EKS, Sagemaker etc.) 
•   Knowledge of REST APIs and data extracting and cleaning techniques 
•   Good to have experience in Pyspark or any other big data programming/parallel computing
•   Familiarity with derivatives, knowledge in multiple asset classes along with Equities.
•   Any progress towards CFA or FRM is a bonus
• Average tenure of atleast 1.5 years in a company