Vie Quantitative Finance Developer Jobs

4+ years of relevant professional experience, including strategic finance, data analytics, investment banking, consulting, or comparable experience

Conduct Analytics - Dive into the transaction, customer and 3rd party data to assess how our customers manage their funds

Manage Teams - Manage the E2E model development process, across data set creation, application of business logic and assessment of results

Knowledge of SQL, R or Python a plus

Experience in banking and or Fintech a plus

BS in Finance, Economics, Mathematics, Statistics, or Physics.

Excellent C++ skills on a Linux platform, preferably with experience in low-latency programming

Knowledge of market-microstructure and experience in market data (L1/2/3), for cash equity or other markets

Experience with Smart Order Routing (SOR) and comprehensive knowledge of liquidity pools

Experience in designing, implementing electronic algorithmic trading system, for purpose such as execution, market making, or high-frequency trading

Strong skills in Python and databases

Experience in post trade analytics is preferred

Develop systems for production trading and portfolio management

Exceptional software design and development skills in Rust, Python, Java or other OOP language

Prior internships or full-time work experience that demonstrate your ability to architect and implement software systems to solve real-world problems

Basic knowledge of machine learning methods or statistical modeling techniques; advanced knowledge is a strong plus

Versatile problem-solving skills, and a drive to succeed

Knowledge of financial markets or the crypto industry is a plus but not required

Functional requirements gathering from the front, middle and back-office investment management system users

Ensure appropriate change management processes are implemented to benefit users

Experience in the financial industry, ideally in asset management, Equities, Fixed Income

Strong organizational and project management skills

Relevant industry qualification or degree (Finance/ Technology)

Participate actively on the yearly upgrade of SimCorp Dimension and on any patch release (qualification, regression tests, etc…)

Strong Excel skills including experience with macros/VBA.

Receive structured learning on technical and quantitative skills.

Proficiency with Python/R programming languages; working knowledge of PANDAS and Dash is a plus.

Experience with Distributed Computing, Natural Language Processing, Machine Learning, Platform Development, Networking, System Design.

Exceptional quantitative and analytical skills.

Strong written and verbal communications skills.

Programming skills in at least one language from C++ and Java

Financial products knowledge in vanilla and exotic equity products.

Experience with scripted payoffs (ex. BLAN)

Analytical work to research, implement and support pricing and risk models for equities.

Development work on server-side processes as part of a micro-service infrastructure.

The role is part of the firm’s financial engineering team which supports trading desks globally.

Be an experienced Python programmer

Experience in quantitative trading is a plus but is not required

Design, implement and maintain modules that process market data and generate trading signals in collaboration with researchers

Build or improve scripts for automating and optimizing operational tasks

Monitor production processes and debug any encountered problems

A bachelor's degree or higher in computer science, applied mathematics, or another technical field from a top university

Experience in advanced quantitative techniques to solve highly complex data-intensive problems.

Excellent programming skills in Python and C++.

Assist in developing core algorithms and models leading directly to trading decisions

Working with the machine learning lab on developing into trading results.

Work closely with traders to interpret valuations and develop next-generation models and analytics.

Work on the high-level architecture of Python and C++ Models and various strategies.

Database management: capacity to develop and implement support solution to facilitate reporting

Excellent interpersonal skills are critical

Adaptation and multitasking skills to evolve in a dynamic environment with multiple priorities

Strong verbal and written communication skills

Ideally have a first experience as a business analyst with exposure to reporting process

Proficiency with IT tools (Excel, PowerPoint, ERP, Web-apps, …) & generally keen to learn new tools

Bachelor/master’s degree in business administration, finance or management.

Excellent computer and software skills: in-depth knowledge of MS Excel is required (data treatment, pivot tables).

Coordinate the communication between local team: Area Sales Managers, Demand Planner and Customer Service in France.

Support Financial Analyst and Business and Operations Manager in ad hoc analysis and reports.

First experience in business area assistant, ideally for a consumer or luxury goods brand, a distributor or a retailer.

Excellent planning, organizational and analytical skills: ability to prioritize and meet the deadlines; ability to multi-task, detail oriented and proactive.

Lead or manage junior quantitative developers and mentor/develop skills among junior quant developers

Experience in developing finance related software with an emphasis on (numerical) algorithms (e.g. pricing or calibration)

Good knowledge of C++ with strong working knowledge in STL and 4 + years of experience

Possession of good analytical, mathematical, and problem solving skills, with good quantitative skills being a plus

Basic knowledge of Java and/or C#

Working knowledge of versioning systems (e.g. git) and development environments (e.g. Visual Studio, Eclipse)

Develop various certification and reporting tools

During your VIE mission you will be in charge of these responsibilities:

All our positions are open to people with disabilities.

At the end of your VIE, various opportunities could be offered to you, in France and abroad.

Design and develop libraries to help analysts work with time-series datasets and run back-tests on statistical models

Participate to the Digital Transformation of RISQ department (tactical developments, training on new technologies, etc)