Data Scientist

**We’re building the future of private financial markets**:
Traditionally a space only for the wealthy and well-connected, we believe in a future where private markets are more accessible to investors and fundraisers. By leveling the playing field we hope to create a more equitable economy, where inspiring companies are connected to inspired investors, whoever and wherever they are.

Leveraging our trusted brand, global networks and incredible team, we’re building a technology-enabled ecosystem that is as diverse and dynamic as our investor network. As we progress on this ambitious journey, we’re looking for energetic and creative people to support and leave their mark on our platform.

**Before Applying**:
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**The Company You’ll Join**

Alta, previously known as Fundnel, is Southeast Asia’s largest digital marketplace for alternative investments. Alta gives investors unfettered access to invest and trade in a wide range of high-performing alternative assets, from direct investment into private companies, private equity and venture capital funds, real estate, luxury assets, and more. ‍

As a licensed integrated marketplace, Alta brings the trading and distribution of securities, fund management, payments solutions under one roof. Through its blockchain-powered exchange, Alta is also able to support the tokenization, digital custody, and trading of alternative assets. ‍

Today, while more investors are looking to increase their allocation to alternative assets, the high costs of investing and illiquidity of private markets can often give many investors pause. Alta makes it easier and more efficient than ever for investors to trade tokenized alternative assets at smaller, fractionalized blocks, thereby enhancing liquidity in the private markets, bringing alternative assets to all.

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Since 2016, Alta has completed over US$600 million in transactions, creating access to over US$22 billion worth of mandated deals. Alta is backed by Nomura, Integra Partners, Binance Asia, Philip Securities and Prime Partners, and is headquartered in Singapore and operates offices globally.

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**The Team You’ll Work With**

Data Scientist

We're looking for passionate leaders to join our proven team as a Data Scientist based in Mumbai, India.

Some things to know before you apply
- We have big plans to disrupt the traditional fundraising process for private businesses
- You will work with a diverse team of former investment bankers, strategy consultants and business owners in developing, monitoring, and improving products to facilitate the activity of private investing
- Everything we do is focused on helping build the private capital markets for the next generation of business owners and investors
- We work hard but play really hard as well

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**Job purpose**:
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- We are looking for passionate Data Scientists with strong problem-solving skills and prior experience in building machine learning models. You should possess the ability to thrive in a fast-paced environment. As a Data Scientist, working with passionate data-driven enthusiasts, you will lead the deployment of decision sciences with advanced analytics as well as machine learning and AI capabilities to support various lines of businesses. You will also help to enable a data driven culture within the organization.

**Roles and responsibilities**:

- Work with other Data Scientists, Data Engineers, Data Analysts, Software engineers to build and manage data products
- Work on cross-functional projects using advanced data modeling and analysis techniques to discover insights that will guide strategic decisions and uncover optimization opportunities.
- Develop an enterprise data science strategy to achieve scale, synergies, and sustainability of model deployment
- Undertake rigorous analyses of business problems on structured and unstructured data with advanced quantitative techniques.
- Manage and optimize processes for data intake, validation, mining, and engineering as well as modeling, visualization and communication deliverables.

**You’ll be a great fit for us if you**:

- Bachelor or Master’s in Computer Science, Statistics, Mathematics, Economics, or any other related fields
- At least 3 years of hands-on experience in a Data Science role with exposure and proficiency in quantitative and statistical analysis, predictive analytics, multi-variate testing and algorithm-optimization for machine learning
- Deep expertise in a range of ML concepts, frameworks and techniques such as logistic regression, clustering, dimensionality reduction, recommendation systems, neural nets etc.
- Strong understanding of data infrastructure technologies (e.g. Spark, TensorFlow etc).
- Familiarity with data engineering methodologies, including SQL, ETL and experience in manipulating data sets with structured and unstructured data using Hadoop, AWS or other big data platforms.
- Highly proficient in data visualisation and the use of dashboarding tools (