Quantitative Developer

About the company

The client is a quantitative investment firm focused on Indian financial markets. They operate a multi-strategy, multi-manager platform designed to generate consistent, risk- adjusted returns.

Their approach combines systematic investment methods, rigorous quantitative research and institutional-grade manager evaluation. We bring together research, technology and data to build scalable investment solutions.

Role Overview

We are seeking a Quantitative Developer with strong C++ and Python expertise to convert mathematical models and research prototypes into reliable, high-performance analytical engines.

You will work closely with Quantitative Research, Data Engineering, AI and Product Engineering teams throughout the full model lifecycle—from research handover and production implementation to validation, deployment and ongoing support.

This role is ideal for someone who enjoys working at the intersection of quantitative finance, numerical computing and production software engineering.

Key Responsibilities

Research Production

• Translate mathematical models and Python research prototypes into robust, production-quality C++.
• Develop reusable components for risk analytics, forecasting, portfolio analysis and simulation.
• Build efficient Python interfaces for C++ components using pybind11 or similar technologies.
• Ensure production implementations remain mathematically and numerically consistent with the underlying research.
• Establish clear and reproducible processes for transitioning models from research to production.

Engine Development and Validation

• Design and develop analytical engines capable of processing historical, batch and streaming data.
• Integrate calculation components with data pipelines, APIs, databases and downstream applications.
• Validate production implementations against research prototypes, benchmark datasets and expected results.
• Develop automated numerical, unit, integration, regression and performance tests.
• Identify and resolve numerical stability, precision and edge-case issues.
• Optimize calculation speed, memory usage, concurrency and scalability.
• Profile and benchmark critical components to meet defined performance requirements.

Deployment and Delivery

• Package analytical engines as libraries, services, APIs or containers.
• Support deployment across internal infrastructure and client-controlled environments.
• Configure engines for different datasets, workflows and institutional requirements.
• Assist with integration testing, production upgrades, issue diagnosis and technical troubleshooting.
• Implement appropriate logging, monitoring and error-handling capabilities.
• Document interfaces, assumptions, configurations, dependencies and deployment requirements.

Collaboration and Ownership

• Work closely with Quantitative Research, Data Engineering, AI and Product Engineering teams.
• Participate in technical design discussions, code reviews and quantitative model reviews.
• Communicate implementation trade-offs, constraints and risks clearly to technical and quantitative stakeholders.
• Take end-to-end ownership of assigned components, from research handover through production deployment and support.
• Contribute to engineering standards, reusable libraries and development best practices.

Required Qualifications

• Bachelor’s or master’s degree in Computer Science, Engineering, Mathematics, Statistics, Physics, Quantitative Finance or a related discipline.
• Strong professional programming experience in modern C++, including object- oriented and generic programming.
• Proficiency in Python and scientific-computing libraries such as NumPy, pandas or SciPy.
• Experience translating mathematical or analytical prototypes into production software.
• Strong understanding of algorithms, data structures, software architecture and design principles.
• Experience building automated unit, integration and performance tests.
• Familiarity with numerical methods, floating-point behaviour and numerical validation.
• Experience profiling and optimizing compute-intensive or data-intensive applications.
• Proficiency with Git and modern software-development practices.
• Strong analytical, debugging and problem-solving skills.
• •Ability to work effectively with both researchers and software engineers.

Preferred Qualifications

• Experience with pybind11, Boost.Python, Cython or similar interoperability technologies.
• Knowledge of quantitative finance, portfolio analytics, risk modelling, forecasting or simulation.
• Familiarity with time-series data and financial-market datasets.
• Experience developing applications that process batch or real-time streaming data.
• Exposure to concurrent, parallel or distributed computing.
• Experience with containerization and deployment technologies such as Docker.
• Familiarity with Linux environments, CI/CD pipelines and cloud or on-premises infrastructure.
• Experience building analytical libraries, calculation services or APIs for institutional users.
• Knowledge of Indian financial markets is advantageous

Job Title: C Developers 

Company Name: Chella Software Private Limited

Company Website: https://www.chelsoft.com/

Company details

THE PARTNER OF CHOICE FOR FINANCIAL MARKETS

Our deep domain experience, ultra-high-performance software solutions, and on-time project delivery make us the preferred partner for the financial markets.

Over the last two decades, Chella Software has built deep domain experience in the financial markets and a capability for developing ultra-high-performance software that can handle very high volumes of data with the lowest levels of latency.

We are now preferred partners for a host of Central Banks, Stock Exchanges, Clearing Corporations, Brokerages, and Institutional Investors across 12 countries.

We are a global provider of fintech solutions for central banks, exchanges, central counter parties, and financial market intermediaries. We meet the software needs of customers in India, the  Middle East, Africa, Singapore, and the USA.

Location: Mumbai

Mode of Working: Work from office: 2 rounds - virtual

Days of Working: 5 Days a week

Responsibilities

Job Description:  

• Programming Languages: C Platform: Linux and Windows environment 
• Comfortable with software development on Unix/Linux platforms • Strong debugging skills  
• Ability to work independently and efficiently to meet deadlines. Self-motivated, detail-oriented and organized. 
• Strong analytical skills to diagnose/resolve complex issues • Ability to multi-task and stay organized in a dynamic work environment. 
• Ability to "think outside the box". 
• Highly proficient programming skills [C family] 
• Excellent algorithm-design skills 
• Very good knowledge of database concepts and technology, in particular SQL and relational algebra, and query optimization 

Roles & Responsibilities:  

• Planning, estimation, and design usually done in a group  
• Working closely with end-users (traders) to understand their requirements and needs 
• Working closely with the other members of the MC team to identify and employ strategies and solutions to best support the trading desk  
• Working closely with the rest of the SPG to identify and employ strategies and solutions to best support the needs of the MC team  
• Providing support for the traders on trading and risk infrastructure issues 
• Development and support of our trading, risk management, infrastructural and reporting applications 
• Work with the Lead Technologists to develop and deliver solutions within a timely manner within the scope of the overall business strategy 
• Assisting Application Support with root cause analysis of production incidents 

Interview process

Interview Process

• Round 1: Virtual
• Round 2: Virtual
• Final Discussion: Face-to-face in Mumbai 

Perks:

• Training period: 2 months at Madurai; the training cost, Stay, Travel, Food, etc., will be provided by the company
• Yearly 2 travel to your home town shall be sponcered by the company.

We are looking for a C++ Developer to build high-performance systems software.

Responsibilities

• Develop performance-critical applications in modern C++
• Write concurrent, multithreaded code
• Use STL and Boost effectively
• Profile and optimise for latency and memory

Requirements

• 1+ years of professional C++ development
• Strong understanding of multithreading and memory management
• Linux systems programming experience

We are hiring for a Python Developer at Wissen Technology!

📍 Location: Pune (Hybrid)

💼 Experience: 3–6 Years

⏱️ Notice Period: Immediate / 15 days preferred

🔧 Key Skills:

• Strong experience in Python

• Hands-on with Pandas & NumPy

• Experience with AWS (S3, Lambda preferred)

• Good understanding of data processing & APIs

• SQL knowledge

🏢 About Wissen Technology:

Wissen Technology, part of the Wissen Group (est. 2000), is a fast-growing technology company specializing in high-end consulting across Banking, Finance, Telecom, and Healthcare domains.

✔️ Global presence – US, India, UK, Australia, Mexico & Canada

✔️ Certified Great Place to Work®

✔️ Trusted by Fortune 500 clients like Morgan Stanley, Goldman Sachs, and more

✔️ Strong growth with 400% revenue increase in recent years

🌐 Website: www.wissen.com

🔗 LinkedIn: https://www.linkedin.com/company/wissen-technology/

If you’re interested or have relevant candidates, please share your resume at [your email].

#Hiring #PythonDeveloper #PuneJobs #AWS #ImmediateJoiner

While you may already know about Wissen and the company history, here is a quick rundown for you.

About Wissen Technology:

·        The Wissen Group was founded in the year 2000. Wissen Technology, a part of Wissen Group, was established in the year 2015.

·        Wissen Technology is a specialized technology company that delivers high-end consulting for organizations in the Banking & Finance, Telecom, and Healthcare domains. We help clients build world class products.

·        Our workforce has highly skilled professionals, with leadership and senior management executives who have graduated from Ivy League Universities like Wharton, MIT, IITs, IIMs, and NITs and with rich work experience in some of the biggest companies in the world.

·        Wissen Technology has grown its revenues by 400% in these five years without any external funding or investments.

·        Globally present with offices US, India, UK, Australia, Mexico, and Canada.

·        We offer an array of services including Application Development, Artificial Intelligence & Machine Learning, Big Data & Analytics, Visualization & Business Intelligence, Robotic Process Automation, Cloud, Mobility, Agile & DevOps, Quality Assurance & Test Automation.

·        Wissen Technology has been certified as a Great Place to Work®.

·        Wissen Technology has been voted as the Top 20 AI/ML vendor by CIO Insider in 2020.

·        Over the years, Wissen Group has successfully delivered $650 million worth of projects for more than 20 of the Fortune 500 companies.

·        We have served client across sectors like Banking, Telecom, Healthcare, Manufacturing, and Energy. They include likes of Morgan Stanley, Goldman Sachs, MSCI, StateStreet, Flipkart, Swiggy, Trafigura, GE to name a few.

De

Job Title: Application Development Engineer (Python – Backtesting & Index Platforms)

Role Overview

Key Responsibilities

Engine Development: Design and implement modular, reusable Python components for index construction, rebalancing, and backtesting.

Large-Scale Simulation: Use Pandas, NumPy, and PySpark to run historical calculations across long time horizons and multiple index variants.

Workflow Integration: Integrate engines with orchestrators such as Airflow or Temporal using parameterized, config-driven execution.

Reference Data Consumption: Query and utilize pricing, security master, and corporate action data from Snowflake.

Quality & Reconciliation: Build automated test harnesses to validate outputs, compare against benchmarks, and guarantee reproducibility.

Performance Optimization: Improve runtime efficiency through vectorization, caching, and distributed computing patterns.

Cross-Team Collaboration: Partner with Business, Index Ops, and Platform teams to accelerate research-to-production onboarding.

Required Technical Capabilities

Python Expertise: Strong proficiency in Python application development with emphasis on clean architecture and maintainable design.

Data & Numerical Libraries: Deep experience with Pandas and NumPy; working knowledge of PySpark for distributed workloads.

Financial Computation: Ability to implement portfolio mathematics, weighting algorithms, and time-series transformations.

Config-Driven Systems: Experience building rule-based or metadata-driven processing frameworks.

Database Skills: Strong SQL and experience consuming structured data from Snowflake.

Testing Discipline: Expertise in unit testing, regression testing, and deterministic replay of calculations.

Orchestration Integration: Familiarity with Airflow, Temporal, or similar workflow engines.

Cloud Infrastructure: Solid understanding of AWS ecosystem services (S3, Lambda, IAM) and how they integrate with the Snowflake Data Cloud.

As an Engineering Manager, you'll lead efforts to strengthen and optimize our state-of-the-art systems, ensuring high performance, scalability, and efficiency across our suite of trading solutions.

The core responsibilities for the job include the following:

Technical Expertise:

• C++ coding and debugging to strengthen and optimize systems.
• Design and architecture (HLD/LLD) to ensure scalable and robust solutions.
• Implementing and enhancing DevOps, Agile, and CI/CD pipelines to improve development workflows.
• Managing escalations and ensuring high-quality customer outcomes.

Architecture and Design:

• Define and refine the architectural vision and technical roadmap for enterprise software solutions.
• Design scalable, maintainable, and secure systems in line with business goals.
• Collaborate with stakeholders to translate requirements into technical solutions.
• Driving engineering initiatives to foster innovation, efficiency, and excellence.

Project Management:

• Oversee project timelines, deliverables, and quality assurance processes.
• Coordinate cross-functional teams to ensure seamless integration of systems.
• Identify risks and proactively implement mitigation strategies.

Technical Leadership:

• Lead and mentor a team of engineers, fostering a collaborative and high-performance culture.
• Provide technical direction and guidance on complex software engineering challenges.
• Drive code quality, best practices, and standards across the engineering team.

Requirements:

• 10-15 years in the tech industry, with 2-4 years in technical leadership or managerial roles.
• Technical Expertise: Expertise in C++ development, enterprise architecture, and scalable system design, and proficiency in performance optimization, scalability, software architecture, and networking principles.
• Extensive experience managing the full development lifecycle of large-scale software products, from concept to deployment.
• Strong knowledge of STL containers, multi-threading concepts, and algorithms.
• Solid understanding of memory management and efficient resource utilization.
• Microservices Architecture Expertise: Experience in designing and implementing scalable, reliable microservices.
• Strong Communication and Decision-making skills: Ability to clearly articulate trade-offs, make informed decisions, and ensure alignment across stakeholders.
• Commitment to Creating and fostering Engineering Excellence: Deep understanding of best practices, including code quality, testability, security, and release management, and passion for fostering a strong engineering culture and continuously improving developer workflows and tools.
• Self-Driven and Motivated: Ability to operate independently while driving impactful results.

Qualifications & Requirements:

• 4+ years of experience in C++ application development.
• Hands-on experience with C++11 or above.
• Strong knowledge of object-oriented programming and software design.
• Deep understanding of STL, multi-threading, socket programming, and data structures.
• Solid grasp of Linux development and debugging techniques.
• Proficient in using GCC, GDB, and Makefile.
• Familiarity with Valgrind and similar analysis tools.
• Experience with version control tools like Git.
• Experience writing and maintaining automated tests.
• Experience in capital markets/trading domain is a plus.

Skills:

• Strong problem-solving and analytical thinking.
• Clear and effective communication.
• Self-driven with the ability to work independently.
• Passionate about high-quality software and strong engineering practices.
• Comfortable working in a fast-paced, collaborative environment.

AI/ML Engineer AI Operating System for Capital Markets Location Bangalore/Chennai Experience 5+ years Function Artificial Intelligence / Machine Learning Employment Type About Transient.AI Full-time Transient.AI is building a next-generation AI Operating System for capital markets — a unified intelligence layer that connects research, trading, compliance, and sales functions at banks and hedge funds. Today, these teams largely operate on disconnected legacy systems, forcing manual, expensive workarounds. Transient.AI replaces that fragmentation with a single AI-native layer built for institutional-grade compliance, security, and auditability. The company already has live products in market, including Caddie.AI (a research automation tool that cuts hedge fund research time significantly), ClarityRIA (helping sales teams identify the right investors in seconds), and CapFlo.AI (automated parsing of complex derivatives contracts). Founded by former traders and technologists from Goldman Sachs, Credit Suisse, UBS, and McKinsey, Transient.AI is headquartered in New York, with teams in Miami, Singapore, and India. The company has raised Series A funding and is scaling its engineering and product organization globally. Role Overview Transient.AI is hiring an experienced AI/ML Engineer to join its India engineering team in Bangalore/Chennai. This is a hands-on, build-from-scratch role — you'll be designing and shipping the core machine learning systems that power the company's flagship products, working closely with founders and senior engineers rather than inheriting existing infrastructure. Key Responsibilities • Design, build, and deploy machine learning and AI models that power Transient.AI's core products (research automation, document intelligence, investor matching, and workflow orchestration). • Workonapplied NLP/LLMsystems, including retrieval-augmented generation, structured extraction from unstructured financial documents, and model evaluation pipelines. • Partner closely with product and founding engineers to translate capital markets workflows into scalable AI systems. • Ownmodelperformance, reliability, and cost — from experimentation through production deployment. • Build and maintain data pipelines, feature stores, and evaluation frameworks to support rapid iteration. • Ensuresystems meet the compliance, auditability, and security standards required in regulated financial environments. What We're Looking For • 5+years ofexperience building and deploying machine learning or AI systems in production.• Strong hands-on experience with Python and modern ML/AI frameworks (PyTorch, TensorFlow, Hugging Face, LangChain, or equivalent). • Experience with LLMs — fine-tuning, prompt engineering, RAG architectures, or agentic systems — is highly valued. • Solid grounding in data structures, distributed systems, and MLOps practices (model serving, monitoring, versioning). • Prior experience at a strong product company, high-growth startup, or a top-tier engineering background • Comfort operating in an early-stage, high-ownership environment with limited process and high ambiguity. • Exposure to fintech, capital markets, or other regulated industries is a plus, though not mandatory. WhyJoin Transient.AI • Build core AI systems from the ground up — not maintain legacy code. • Workdirectly with founders who have deep, first-hand Wall Street experience (Goldman Sachs, Credit Suisse, UBS, McKinsey). • JoinaSeries A-funded company solving a real, expensive problem for institutional finance. • Bepart ofasmall, global team with outsized ownership and impact. .

• Skilled C/C++ Software Engineer to design, develop, and optimize high-throughput, low-latency client-server based application
• Responsible for building backend business logic and managing highly efficient data layers interacting with SQL databases
• Expertise in C++ patterns, memory management, multi-threaded programming, and SQL performance tuning
• Design, build, and maintain efficient, reusable, and reliable C/C++ code for core application layers
• Implement and manage database connectivity abstractions utilizing APIs
• Develop, optimize, and maintain SQL queries, stored procedures, triggers, views, and database schemas
• Diagnose systems issues, identify memory leaks, refactor legacy codebases
• Participate in code reviews, write unit tests, perform testing and operate actively within Agile sprints
• 8+ years of professional development experience using standard C++ with a strong grasp of OOP
• Hands-on expertise with relational databases (e.g., Microsoft SQL Server, MySQL, PostgreSQL, or Oracle)
• Strong proficiency in multi-threading, concurrency, IPC, and socket programming
• Experience developing on Windows environments
• Familiarity with debugging tools and version control platforms like Git
• Background in UI frameworks that hook into C++ backends
• Familiarity with scripting languages (Python or Shell scripting) for database data loading and automation

We are a San Francisco-based AI infrastructure company working with leading frontier AI labs to build post-training data and evaluation infrastructure for foundation models. We are hiring a Python Developer to create high-quality datasets, reinforcement learning environments, and benchmarking pipelines used to improve and evaluate state-of-the-art LLMs. This is a remote role with flexible working hours.

Responsibilities

* Create and curate datasets for LLM post-training (SFT, RLHF, RL, preference optimization).

* Build and maintain RL environments for agent evaluation.

* Develop Python tooling for dataset generation, validation, and transformation.

* Evaluate models on custom benchmarks and testing pipelines.

* Collaborate with research and engineering teams to deliver client-specific post-training datasets.

* Work with terminal-first development workflows and cloud infrastructure.

Required Skills

* Strong Python programming skills.

* Understanding of LLM fundamentals and post-training concepts (SFT, RLHF, RL).

* Experience working with structured data (JSON, CSV, YAML).

* Git, Linux/Unix command line, and solid software engineering fundamentals.

Good to Have

Experience with RAG, agentic AI systems, Hugging Face Transformers, LoRA/PEFT, LangChain or LlamaIndex, vector databases (FAISS, Qdrant, Milvus, Pinecone, Weaviate, ChromaDB), Docker, AWS/GCP, FastAPI/Flask, Bash, CLI tooling, model evaluation frameworks, benchmarking, and AI infrastructure.

Compensation

Base Salary: USD $1,250/month

Equity: ESOP/Equity package included.

Performance Bonuses: Up to USD $4,000/month (in addition to base salary).

Location

Remote (Worldwide)

Work Hours

Flexible, remote-first, asynchronous work environment.

How to Apply

Apply here: https://tally.so/r/wLReJG

Please complete the application form and submit the required details. Only shortlisted candidates will be contacted.

Role Title:- Mid-Level Python Developer

 Location - Bangalore

 Employment Type -Full-time (Work from Office)

Experience Required - 3 to 7 years

Notice Period Preference - Open to all candidates, but shorter notice period candidates will be preferred.

About the Role

We are looking for a strong Mid-Level Python Developer to join our backend engineering team in Bangalore. The role is focused on building, maintaining, and improving backend systems for fintech products in the Indian capital markets domain, specifically around PMS, AIF, portfolio operations, order management, reporting, and client-facing enterprise workflows.

The ideal candidate should have hands-on experience in building APIs, working with relational databases, writing clean and maintainable Python code, and solving practical backend engineering problems. This is a backend-first role. Frontend or Angular exposure is preferred but not mandatory.

The candidate should be capable of independently owning backend modules, collaborating with product and frontend teams, mentoring junior developers, and eventually growing into a team lead role.

Key Responsibilities

- Design, develop, and maintain backend APIs using Python and FastAPI.

- Build reliable, scalable, and maintainable backend services.

- Work extensively with PostgreSQL for database design, querying, optimization, and data integrity.

- Use Redis for caching, queues, session handling, or performance improvement where applicable.

- Write clean, modular, testable, and production-ready Python code.

- Develop REST APIs with proper request validation, error handling, authentication, and response structure.

- Understand business requirements and convert them into robust backend implementation.

- Debug production issues, identify root causes, and implement long-term fixes.

- Optimize database queries, backend logic, and API performance.

- Participate in code reviews and maintain engineering standards.

- Mentor junior developers and help improve their coding, debugging, and backend design skills.

- Work closely with frontend developers, QA, product/business teams, and management.

- Contribute to technical documentation, SOPs, and internal development practices.

- Build backend solutions for fintech workflows related to PMS, AIF, capital markets, reporting, order processing, and operational automation.

Required Technical Skills

Python Backend Development:-

- Strong hands-on experience with Core Python.

- Good understanding of Python data structures, functions, classes, modules, exception handling, and file handling.

- Ability to write clean, reusable, and maintainable backend code.

- Experience with practical backend service logic, data transformation, and debugging.

FastAPI / API Development:-

- Hands-on experience with FastAPI or similar Python web frameworks.

- Strong understanding of REST API design.

- Experience with request/response validation, status codes, error handling, middleware, and dependency injection.

- Basic understanding of authentication and authorization in APIs.

- Ability to design APIs that are practical, secure, and maintainable.

Database Skills:-

- Strong working knowledge of PostgreSQL.

- Ability to write SQL queries involving joins, aggregations, filters, subqueries, and transactions.

- Understanding of indexing, query performance, constraints, and relational database design.

- Ability to troubleshoot data issues and optimize database-heavy backend workflows.

 Redis / Caching:-

- Working knowledge of Redis.

- Understanding of caching use cases, TTL, key-value storage, and performance improvement patterns.

- Experience using Redis in backend applications will be preferred.

 Backend Engineering Fundamentals:-

- Understanding of application architecture, modular code structure, logging, configuration management, and environment variables.

- Good debugging and problem-solving ability.

- Understanding of production issues, edge cases, and maintainability.

- Basic understanding of background jobs, queues, async processing, or scheduled tasks will be preferred.

Version Control & Development Practices

- Experience with Git.

- Ability to work with branches, pull requests, code reviews, and structured development workflows.

- Familiarity with testing, basic unit tests, and API testing tools such as Postman.

Preferred Skills

- Experience in fintech, capital markets, PMS, AIF, wealth management, portfolio reporting, or order management systems.

- Exposure to Angular or frontend development.

- Experience with background task processing, Celery, Redis queues, or scheduled jobs.

- Experience with Docker or Linux-based deployment environments.

- Experience working on enterprise SaaS or client-facing business applications.

- Understanding of financial data workflows, reconciliations, transactions, holdings, reporting, or order lifecycle.

Domain Exposure Preferred

Candidates with experience or interest in the following areas will be preferred:

- Indian capital markets

- Portfolio Management Services — PMS

- Alternative Investment Funds — AIF

- Wealth management platforms

- Order management systems

- Financial reporting systems

- Investor/client reporting workflows

- Transaction, holding, and reconciliation workflows

Expected Candidate Profile

The ideal candidate should be:

- A strong backend developer with practical problem-solving ability.

- Comfortable working independently on backend modules.

- Able to understand business workflows and translate them into technical implementation.

- Detail-oriented, especially when working with financial data.

- Comfortable debugging production issues and improving system reliability.

- Capable of mentoring junior developers.

- Interested in growing into a future technical/team lead role.

- Comfortable working from an office in Bangalore.

Assessment Process

The hiring process will include:

1. Initial screening based on resume, experience, notice period, and compensation fit.

2. Google Form technical assessment of 50 marks.

3. Live coding / technical discussion round.

4. Final face-to-face discussion covering technical depth, domain fit, ownership, and team fit.

What We Are Evaluating

- Python fundamentals and coding clarity

- Backend API design ability

- SQL and PostgreSQL practical knowledge

- Debugging and problem-solving approach

- Understanding of Redis and caching basics

- Ability to think through edge cases

- Code maintainability and readability

- Production-readiness mindset

- Ability to work in fintech/capital markets workflows

- Potential to mentor juniors and grow into a lead role

 Summary

This role is suitable for a backend-focused Python developer who has strong hands-on coding ability, practical database knowledge, and the maturity to independently own backend modules. The candidate should be comfortable working in a fintech product environment where accuracy, reliability, and clean backend design are critical.