Job details
Job type full-time
Full job description
Who you are
You are a quantitative thinker who wants to develop further as both a data scientist and an engineerYou are skilled at finding the precise mathematical kernels of real-world problems and want to bring that talent to bear on the business questions facing the world`s leading financial services companiesYou are excited to apply your existing expertise in fields such as statistics and computer science to solve mission critical problemsYou are excited to work at a fast-paced startup where you will have a chance to expand your scientific and engineering skills to new areasYou share quantifind`s commitment to winning together, and are eager to see your coworkers build on the technical foundations you will be creatingYou are passionate about maintaining the high scientific and engineering standards required to enable your peersAbove all, you are a curious and independent problem solver who is motivated to find a place where your skills can have real impact.
Who we are
Quantifind helps some of the world`s biggest banks catch money laundering and fraudQuantifind also works with government agencies to use the same platform to uncover criminal networks and combat election tamperingUnlike other players in this space, quantifind delivers results as software-as-a-service (saas) with consumer-grade user experiences.
Quantifind is a data science technology company whose ai platform uncovers signals of risk across disparate and unstructured text sourcesIn financial crimes risk management, quantifind`s solution uniquely combines internal financial institution data with public domain data to assess risk in the context of know your customer (kyc), customer due diligence (cdd), fraud risk management, and anti-money laundering (aml) processesToday these compliance processes are burdened by ever-increasing regulatory responsibilities and an expectation of frictionless transactionsLegacy technologies demand increasingly more human resources as the operations expand; quantifind`s solution offers a way to cut through the inefficiency and enhance effectiveness through machine learning driven solutions that resolve for both accuracy and relevance.
To help you succeed, we provide a supportive environment that fosters collaboration between teams and team members, where learning and professional growth are considered a key part of your success, and of oursWe offer a flexible work environment with a family friendly work-life balance.
What a great candidate looks like:
Ms or higher in the following areas: statistics, mathematics, or computer science
At least 1 year of professional industry experience, in addition to your academic experience
Outstanding analytical skills and the ability to communicate quantitative results to technical and non-technical audiences
Strong knowledge of statistics/probability/machine learning including core concepts of hypothesis testing, inference, bias-variance trade-off, regularization, dimensionality reduction etc.
Supervised and unsupervised statistical techniques such as regression (linear / logistic), time series analysis, clustering
Experience with popular machine learning algorithms such as random forest, boosting, svms, and neural networks
Experience with applied nlp methods such as topic modeling (lda), text classification, word embeddings, named entity extraction is a strong plus
Strong programming experience in two or more of the following: scala/java, r, python
Experience with sql
Knowledge of data structures and algorithm complexity
The opportunity we offer
Quantifind is seeking to fill an associate data scientist position in palo alto, ca on our data science teamWe work closely with the product management team and platform engineers to anticipate company needs and quickly put state-of-the-art mathematical tools into the hands of end usersTeam is centered in palo alto, california, and we have a satellite office in washington, d.cQuantifind is currently using a hybrid mix of working from home and in the office, with regular in-person touchpoints and shared office space.
We are an equal opportunity employerWe pride ourselves on living our valuesWe are curiousWe respect each otherWe are proactively transparentWe relentlessly solve problemsWe win together.
Will you join us? apply now!
Job type: full-time
Work location: multiple locations
